Standards of Evidence for Efficacy, Effectiveness, and Scale-up Research in Prevention Science: Next Generation
Open accessAbstract
A decade ago, the Society of Prevention Research (SPR) endorsed a set of standards for evidence related to research on prevention interventions. These standards (Flay et al., Prevention Science 6:151-175, 2005) were intended in part to increase consistency in reviews of prevention research that often generated disparate lists of effective interventions due to the application of different standards for what was considered to be necessary to demonstrate effectiveness. In 2013, SPR's Board of Directors decided that the field has progressed sufficiently to warrant a review and, if necessary, publication of "the next generation" of standards of evidence. The Board convened a committee to review and update the standards. This article reports on the results of this committee's deliberations, summarizing changes made to the earlier standards and explaining the rationale for each change. The SPR Board of Directors endorses "The Standards of Evidence for Efficacy, Effectiveness, and Scale-up Research in Prevention Science: Next Generation."
AI snapshot
Written from the paper’s full text.
TL;DR
This article reports the Society for Prevention Research’s 2015 revision of its standards of evidence for prevention interventions, updating the 2005 Flay et al. criteria for efficacy, effectiveness, and scale-up research. The committee added or elevated standards on theory testing, implementation fidelity, cost reporting, independent replication/investigator allegiance, and rigorous evaluation of scale-up outcomes.
Key findings
- Revised standards are cumulative across efficacy, effectiveness, and scale-up; an efficacy statement should specify “Intervention X is efficacious for producing Y outcomes for Z population at time T in setting S,” and there must be at least one long-term follow-up beyond the intervention, with 6 months described as a reasonable minimum.
- New or elevated standards include testing the intervention’s causal theory/mediators, measuring implementation quality and fidelity, reporting cost information (cost-effectiveness required at the effectiveness stage), and requiring evidence that effects are not biased by investigator allegiance.
- The scale-up section adds standards for readiness, materials, training/technical assistance, fidelity monitoring, recruitment/reach, and rigorous evaluation of scale-up outcomes; only EBIs meeting all effectiveness criteria should be made available for scaling up.
- The paper cites replication concerns: 92% of findings from original research teams replicated versus 65% from independent teams; developer/creator trials had effect sizes more than twice those from other trials; and interventions that monitored implementation obtained effect sizes two to three times larger than those that reported no monitoring.
Methods
- Consensus/standards-development paper: in 2013 the SPR Board convened a committee chaired by Denise Gottfredson to review and update the 2005 standards; the article reports the committee’s deliberations and rationale for changes.
- No empirical sample or primary data are analyzed; the paper synthesizes prior research and examples, including within-study comparisons of designs and reviews of implementation research, to justify the standards.
- Standards are organized around Cook and Campbell validity types and cumulative stages, with Tables 1–3 summarizing required and desirable standards for efficacy, effectiveness, and scaling up.
Limitations
- The paper states the standards are forward-looking and that it would be “premature and inappropriate” for many to be translated into current requirements; they are not intended as a checklist for a single work.
- The paper notes lack of consensus on key issues, no accepted standard for cost assessment, little rigorous research on scale-up outcomes, and community readiness scales lacking tested predictive validity.
- Evident from the text: this is a normative standards document, not an empirical test of whether adopting the standards improves prevention outcomes; no data are presented on that question.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 121 cited sources checked · 0 supported · 0 flagged
- Findingcitation
The past decade has witnessed a disturbingly high rate of failures to replicate when independent evaluation teams conduct studies of prevention interventions and practices that had met all criteria for effectiveness.
“On the other hand, the past decade has also witnessed a disturbingly high rate of failures to replicate when independent evaluation teams conduct studies of prevention interventions and practices that had met all criteria for effectiveness.6”
Quote in the paperSubstantial claim - Findingcitation
When implementation quality is monitored, implementation quality improves.
“When implementation quality is monitored, implementation quality improves.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak and DuPre 2008 source
Not checked in the free run.
- Premisecitation
The earlier SPR standards were intended in part to increase consistency in reviews of prevention research that often generated disparate lists of effective interventions due to the application of different standards for what was considered necessary to demonstrate effectiveness.
“These standards (Flay et al., Prevention Science 6:151–175, 2005) were intended in part to increase consistency in reviews of prevention research that often generated disparate lists of effective interventions due to the application of different standards for what was considered to be necessary to demonstrate effectiveness.”
- Also stated in: § Introduction · plain
“These standards were intended in part to increase consistency in reviews of prevention research that often generated disparate lists of effective interventions due to the application of different standards for what was considered to be necessary to demonstrate effectiveness.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Flay et al. 2005 source
Not checked in the free run.
- Also stated in: § Introduction · plain
- Interpretationreasoning
Only by studying outcomes of scale-up efforts will we learn how interventions work in these new circumstances.
“Only by studying outcomes of scale-up efforts will we learn how interventions work in these new circumstances.”
Quote in the paperNot a substantial claim - Premisecitation
Regression discontinuity design studies produced comparable causal estimates to randomized studies at points around the cutoff point.
“The regression discontinuity design studies produced comparable causal estimates to the randomized studies at points around the cutoff point.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cook et al. 2008 source
Not checked in the free run.
- Premisecitation
Only two alternative designs, regression discontinuity designs and comparison time series designs, reliably generate unbiased estimates of treatment effects.
“This research identifies only two alternative designs, regression discontinuity designs and comparison time series designs, which reliably generate unbiased estimates of treatment effects.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cook et al. 2008 source
Not checked in the free run.
- Premisecitation
Methods for testing mediational processes are not as well developed as methods for testing causal effects of the intervention.
“Despite recent advances in methods for testing mediational processes (e.g., MacKinnon 2008), these methods are not as well developed as are methods for testing casual effects of the intervention.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites MacKinnon 2008
Not checked in the free run.
- Interpretationnone given
For large-scale interventions where randomization is not practical or possible, comparison time series designs can provide unbiased estimates of intervention effects.
“For some kinds of large-scale interventions (e.g., policy interventions, changes to public health law, whole-state interventions) where randomization is not practical or possible, comparison time series designs can provide unbiased estimates of intervention effects.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Well-implemented random assignment is best for generating statistically unbiased estimates of the effects of most kinds of preventive interventions because it is most clearly warranted in statistical theory.
“For generating statistically unbiased estimates of the effects of most kinds of preventive interventions, well-implemented random assignment is best because it is most clearly warranted in statistical theory.”
Quote in the paperSubstantial claim - Interpretationreasoning
Testing for intervention effects on the hypothesized mediators would provide a test of the action theory of the intervention as a whole.
“However, testing for intervention effects on the hypothesized mediators would provide a test of the action theory of the intervention as a whole.”
Quote in the paperSubstantial claim - Premisecitation
Testing complex causal chains in a rigorous fashion is not yet possible with existing tools.
“Testing such complex causal chains in a rigorous fashion is not yet possible with existing tools (Imai et al. 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Imai et al. 2012
Not checked in the free run.
- Interpretationreasoning
Well-conducted regression discontinuity designs are second only to random assignment studies in their ability to generate unbiased causal estimates.
“Well-conducted regression discontinuity designs are second only to random assignment studies in their ability to generate unbiased causal estimates.”
Quote in the paperNot a substantial claim - Premisecitation
The quality of implementation of preventive interventions when delivered in real-world settings is often suboptimal.
“the quality of implementation of preventive interventions when delivered in “real-world” settings is often suboptimal (Gottfredson and Gottfredson 2002; Hallfors and Godette 2002; Ennett et al. 2003).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Randomization is possible in most contexts and situations.
“Randomization is possible in most contexts and situations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gerber et al. 2013
Not checked in the free run.
- Premisecitation
Causal generalization from regression discontinuity is limited to the cutoff score.
“That is, regression discontinuity is more dependent on knowledge of functional forms, its statistical power is lower, and causal generalization is limited to the cutoff score (Shadish et al. 2002; Trochim 1984, 2000).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Shadish et al. 2002
Not checked in the free run.
- cites Trochim 1984, 2000
Not checked in the free run.
- Premisecitation
Some interventions may demonstrate effects on problems that emerge later in development, such as substance use or abuse, sexual behavior, mental disorder, criminal behavior, or drunk driving.
“Some interventions may demonstrate effects on problems that emerge later in development, such as substance use or abuse, sexual behavior, mental disorder, criminal behavior, or drunk driving (Griffin et al. 2004; Olds et al. 2004; Wolchik et al. 2002).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Adding a comparison regression discontinuity function can enhance statistical power almost to the level of the experiment.
“its results indicate that a comparison regression discontinuity function can enhance statistical power almost to the level of the experiment”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wing and Cook 2013 source
Not checked in the free run.
- Premisecitation
Matched comparison group designs without a time series structure approach random assignment results only under restrictive conditions: when the selection process is completely known and measured well and when local intact comparison groups heavily overlap with treatment groups on pretest measures of the outcome.
“In their paper, the results from these designs approach those of random assignment studies only under certain restrictive conditions—when the selection process happens to be completely known and measured well and when local intact comparison groups are chosen that heavily overlap with treatment groups on pretest measures of the outcome.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cook et al. 2008 source
Not checked in the free run.
- Interpretationnone given
Random assignment studies sometimes involve important trade-offs, especially in terms of generalization or statistical power.
“random assignment studies sometimes involve important trade-offs, especially in terms of generalization or statistical power.”
Quote in the paperSubstantial claim - Premisecitation
Randomization can be of individuals or of intact groups such as classrooms, schools, worksites, neighborhoods, or clinics.
“Randomization can be of individuals or of intact groups such as classrooms, schools, worksites, neighborhoods, or clinics (Boruch 2005; Gerber et al. 2013).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Boruch 2005
Not checked in the free run.
- cites Gerber et al. 2013
Not checked in the free run.
- Premisenone given
Evidence from within-study comparisons of different alternatives versus random assignment has yielded information about which designs are likely to yield results most comparable to those obtained from random assignment studies.
“Fortunately, evidence from within-study comparisons of different alternatives versus random assignment have yielded invaluable information about which designs are likely to yield results most comparable to those obtained from random assignment studies.”
Quote in the paperSubstantial claim - Premisereasoning
Many efficacy trials are small in scope and would not provide sufficient variability across different conditions of factors related to implementation without deliberate manipulation.
“Many efficacy trials are small in scope and would therefore not provide sufficient variability across different conditions of these factors to provide useful data without deliberate manipulation.”
Quote in the paperSubstantial claim - Premisecitation
Regression discontinuity has lower statistical power than experiments.
“That is, regression discontinuity is more dependent on knowledge of functional forms, its statistical power is lower, and causal generalization is limited to the cutoff score (Shadish et al. 2002; Trochim 1984, 2000).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Shadish et al. 2002
Not checked in the free run.
- cites Trochim 1984, 2000
Not checked in the free run.
- Premisecitation
Many objections to randomization may be unfounded.
“Many objections to randomization may be unfounded (Cook and Payne 2002).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cook and Payne 2002
Not checked in the free run.
- Premisecitation
The effect of an intervention can be judged by whether it affects the intercept or slope of an outcome that is repeatedly measured.
“The logic of this design is that the effect of an intervention can be judged by whether it affects the intercept or slope of an outcome that is repeatedly measured (Greene 1993; Nerlove and Diebold 1990; Shadish et al. 2002).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Greene 1993
Not checked in the free run.
- cites Nerlove and Diebold 1990
Not checked in the free run.
- cites Shadish et al. 2002
Not checked in the free run.
- Interpretationreasoning
Regression discontinuity designs provide unbiased estimates of treatment effects because the selection model is completely known.
“This design provides unbiased estimates of the treatment effects because, as in randomized studies, the selection model is completely known.”
Quote in the paperSubstantial claim - Interpretationreasoning
Adding a comparison regression discontinuity function can significantly reduce the limitations of the regression discontinuity design relative to an experiment.
“So adding this particular comparison to the regression discontinuity function can significantly reduce the limitations of the regression discontinuity design relative to an experiment.”
Quote in the paperNot a substantial claim - Interpretationreasoning
All these studies point toward the causal viability of the quasi-experimental design in question.
“All point toward the causal viability of the quasi-experimental design in question.”
Quote in the paperSubstantial claim - Interpretationnone given
Even for simple theories involving only one mediator, it is not possible to test the theory underlying the intervention except in comparison with another theory.
“Even for simple theories involving only one mediator, it is not possible to test the theory underlying the intervention except in comparison with another theory.”
Quote in the paperNot a substantial claim - Premisecitation
Regression discontinuity is more dependent on knowledge of functional forms than experiments.
“That is, regression discontinuity is more dependent on knowledge of functional forms, its statistical power is lower, and causal generalization is limited to the cutoff score (Shadish et al. 2002; Trochim 1984, 2000).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Shadish et al. 2002
Not checked in the free run.
- cites Trochim 1984, 2000
Not checked in the free run.
- Interpretationreasoning
Measuring and testing causal mechanisms may require trade-offs with the strength of the test of the effect of the intervention on the ultimate outcome.
“Although measuring and testing causal mechanisms is critical to advancing science, in reality doing so may require trade-offs with the strength of the test of the effect of the intervention on the ultimate outcome.”
Quote in the paperSubstantial claim - Interpretationreasoning
Understanding the causal mechanism that produces an intervention effect allows for greater generalization to the theory of the intervention rather than to the specific components of the intervention.
“understanding the causal mechanism that produces this effect will allow for greater generalization to the theory of the intervention rather than to the specific components of the intervention.”
Quote in the paperSubstantial claim - Interpretationreasoning
Reducing the plausibility of alternative explanations increases the plausibility of causal inference about the intervention.
“This then increases the plausibility of causal inference about the intervention.”
Quote in the paperSubstantial claim - Premisereasoning
Available tools allow only for a rudimentary examination of the behavior of theorized mediating variables.
“Available tools allow only for a rudimentary examination of the behavior of theorized mediating variables.”
Quote in the paperSubstantial claim - Interpretationreasoning
High-quality measurement of theoretical mechanisms will often be costly because it may require additional measurement waves and additional modes of measurement.
“We caution that high-quality measurement of theoretical mechanisms will often be costly because it may require additional measurement waves between the intervention and the ultimate outcome as well as additional modes of measurement (e.g., observations).”
Quote in the paperSubstantial claim - Premisecitation
Implementation fidelity influences intervention outcomes.
“Implementation fidelity influences intervention outcomes (Durlak and Dupre 2008; Fixsen et al. 2005)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Durlak and Dupre 2008 source
Not checked in the free run.
- cites Fixsen et al. 2005
Not checked in the free run.
- Interpretationreasoning
Assigning units to conditions to minimize biases reduces the plausibility of alternative explanations for the causes of observed outcomes.
“Such assignment reduces the plausibility of alternative explanations for the causes of observed outcomes.”
Quote in the paperSubstantial claim - Premisenone given
Many interventions contain elements that are likely to be present in the comparison group as well as in the treatment group.
“Many interventions contain elements that are likely to be present in the comparison group as well as in the treatment group.”
Quote in the paperNot a substantial claim - Premisecitation
Adding a comparison regression discontinuity function can attain causal conclusions away from the cutoff similar to those of the experiment.
“can attain causal conclusions away from the cutoff (and not just at it) that are similar to those of the experiment”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wing and Cook 2013 source
Not checked in the free run.
- Premisecitation
Adding a comparison regression discontinuity function can help support conclusions about proper functional form.
“can help support conclusions about proper functional form that the nonparametric experiment does not need”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wing and Cook 2013 source
Not checked in the free run.
- Interpretationreasoning
Rudimentary tests can provide valuable information about which proposed mediators are both responsive to the intervention and correlated with the outcomes.
“Even so, such rudimentary tests can provide valuable information about which of the proposed mediators are both responsive to the intervention and correlated with the outcomes.”
Quote in the paperSubstantial claim - Interpretationcitation
Chance can be ruled out in a single study if the magnitude of the intervention effect observed in a well-designed and well-conducted trial is so large that it is extremely unlikely to have arisen by chance given a true null hypothesis.
“Chance can be ruled out in a single study if the magnitude of the intervention effect observed in a well-designed and well-conducted trial is so large that it is extremely unlikely to have arisen by chance given a true null hypothesis.”
Quote in the paperSubstantial claim - Interpretationreasoning
The CONSORT guideline is not broad enough to cover all reporting issues relevant for reporting of Prevention Science research.
“The CONSORT guideline was developed by biomedical researchers to guide reporting of health-related clinical trials. It is therefore not broad enough to cover all reporting issues relevant for reporting of Prevention Science research.”
Quote in the paperSubstantial claim - Premisecitation
Several independent evaluations have yielded results similar to those reported by the developer.
“Several independent evaluations have yielded results similar to those reported by the developer (see, for example, Gardner et al. (2006) and Hutchings et al. (2007) as well as the Menting et al. (2013) systematic review of Incredible Years trials that reported no effect of developer involvement on the effect size).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
The scope of Prevention Science has expanded in the past 10 years away from simply demonstrating efficaciousness and toward translation of efficacious practices into wider use in the population.
“The scope of Prevention Science has expanded in the past 10 years away from simply demonstrating efficaciousness and toward translation of efficacious practices into wider use in the population (Spoth et al. 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
- Interpretationreasoning
The available reporting guidelines are insufficient to cover many types of research in Prevention Science.
“Nevertheless, the available guidelines are insufficient to cover many types of research in Prevention Science.”
Quote in the paperSubstantial claim - Interpretationreasoning
Comparison time series designs, if well implemented, provide a means by which confounding effects due to co-occurring events can be ruled out.
“These designs, if well implemented, provide a means by which confounding effects due to co-occurring events can be ruled out.”
Quote in the paperSubstantial claim - Premisecitation
Comparison time series designs produce unbiased estimates of treatment effects.
“A nascent literature (reviewed in St. Clair et al. 2014) comparing the estimates from these comparison time series designs with those of randomized designs suggests that the comparison time series designs produce unbiased estimates of treatment effects”
Quote in the paperSubstantial claim0 of 1 sources checked- cites St. Clair et al. 2014
Not checked in the free run.
- The authors state this as an assumption: The comparison time series designs produce unbiased estimates of treatment effects assumes that there are few studies with conflicting results sitting in file drawers.
- Premisecitation
Studies in which researchers designed the study beforehand to identify an intact comparison group likely to overlap with the treatment group on pretest means and slopes resulted in comparable experimental and nonexperimental effect size estimates.
“First, studies in which researchers designed the study beforehand to identify an intact comparison group that was “likely to overlap with the treatment group on pretest means and even slopes” (Cook et al. 2008, p. 736) resulted in comparable experimental and nonexperimental study effect size estimates.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cook et al. 2008 source
Not checked in the free run.
- Premisecitation
More than a third of published positive results are likely to be erroneous, even when researchers set low alpha levels such as .05.
“They calculate that more than a third of published positive results are likely to be erroneous, even when researchers set low alpha levels (e.g., .05).4”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pashler and Harris (2012) source
Not checked in the free run.
- Premisenone given
Randomization can be subject to tampering.
“Randomization can be subject to tampering.”
Quote in the paperNot a substantial claim - Interpretationnone given
Effectiveness trials are likely to include meaningful variation on at least some factors related to implementation quality.
“Effectiveness trials are likely to include meaningful variation on at least some of these potentially important factors.”
Quote in the paperNot a substantial claim - Interpretationcitation
Efficacy trials tell us little about the effect of the intervention under real-world conditions or in natural settings.
“As such, efficacy trials tell us little about the effect of the intervention under “real-world” conditions or in “natural” settings (Flay 1986).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Flay 1986 source
Not checked in the free run.
- Interpretationcitation
Non-randomized matched control designs can rarely be relied on to produce credible results.
“Non-randomized matched control designs can rarely be relied on to produce credible results.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cook et al. 2008 source
Not checked in the free run.
- Interpretationnone given
Study results can be generalized only to the intervention actually tested, the process through which it was implemented, the samples or populations, the time and settings from which they were drawn, and the outcomes measured.
“As noted earlier, study results can be generalized only to the intervention actually tested, the process through which it was implemented, the samples (or populations), the time and settings from which they were drawn, and the outcomes measured.”
Quote in the paperSubstantial claim - Interpretationnone given
The likelihood of bias is reduced when initial group equivalence is inferred from adequately powered no-difference results on multiple, heterogeneous baseline measures that include at least one wave of pretest measures of the main study outcome.
“However, the likelihood of bias is reduced when initial group equivalence is inferred from adequately powered no-difference results on multiple, heterogeneous baseline measures that include at least one wave of pretest measures of the main study outcome.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Differences across conditions in the nature and magnitude of attrition or other missingness can bias estimates of intervention effects if they are not taken into account.
“Differences across conditions in the nature and magnitude of attrition or other missingness can bias estimates of intervention effects if they are not taken into account.”
Quote in the paperSubstantial claim - Interpretationreasoning
Missing data is particularly troubling when the extent and pattern of missing data differs across experimental conditions.
“Missing data is particularly troubling when the extent and pattern of missing data differs across experimental conditions.”
Quote in the paperSubstantial claim - Premisecitation
Significant findings at the .005 level would translate into an actual error rate of approximately 5%.
“For example, using Pashler and Harris’ (2012) reasoning, significant findings at the .005 level would translate into an actual error rate of approximately 5 %.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pashler and Harris’ (2012) source
Not checked in the free run.
- Premisecitation
Nearly all findings, 92%, from the original research team replicated, compared with 65% from an independent team.
“Nearly all findings (92 %) from the original research team replicated, compared with 65 % from an independent team (Makel et al. 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Makel et al. 2012 source
Not checked in the free run.
- Interpretationreasoning
It is not yet clear when nonrandomized matched comparison group designs that do not meet these conditions will yield valid results, regardless of the technique used for statistical adjustment.
“It is not yet clear when nonrandomized matched comparison group designs that do not meet these conditions will yield valid results, regardless of the technique used for statistical adjustment.”
Quote in the paperSubstantial claim - Premisecitation
Estimates of effects from studies using common strategies for equating groups (matching, analysis of covariance, propensity scoring, selection modeling) are often wrong.
“Early reviews of within-study comparisons (Glazerman et al. 2003; Bloom et al. 2005) concluded that estimates of effects from studies using common strategies for equating groups (e.g., matching, analysis of covariance, propensity scoring, selection modeling) are often wrong.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Glazerman et al. 2003 source
Not checked in the free run.
- cites Bloom et al. 2005
Not checked in the free run.
- Premisecitation
Direct comparisons of ordinary least squares and propensity score matching methods have not shown much of a difference to date.
“Direct comparisons of ordinary least squares and propensity score matching methods have not shown much of a difference to date (Glazerman et al. 2003; Bloom et al. 2005; Shadish et al. 2008; Cook et al. 2009)”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
The second condition under which effect sizes from nonrandomized matched comparison group designs matched those from randomized studies involved treatment and nonrandomized comparison groups that differed at pretest but where the selection process into treatment was known and modeled.
“The second condition under which effects sizes from nonrandomized matched comparison group designs matched those from randomized studies involved treatment and nonrandomized comparison groups that differed at pretest but where the selection process into treatment was known and modeled (Diaz and Handa 2006).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Diaz and Handa 2006 source
Not checked in the free run.
- Interpretationreasoning
Regression discontinuity and comparison time series designs may be suitable alternatives to randomized studies.
“but that regression discontinuity and comparison time series designs may be suitable alternatives to randomized studies.”
Quote in the paperSubstantial claim - Interpretationreasoning
Interpretations of correlational analyses relating factors related to implementation quality to levels of implementation fidelity and quality are likely to be ambiguous because those factors are likely to be related to other important predictors of the outcomes, and these differences often remain uncontrolled in analysis.
“Interpretations of correlational analyses relating these factors to levels of implementation fidelity and quality are likely to be ambiguous because factors related to the quality of implementation are likely to be related to other important predictors of the outcomes, and these differences often remain uncontrolled in analysis.”
Quote in the paperSubstantial claim - Premisereasoning
Randomizing at a higher level but analyzing data at a lower level almost always results in a violation of the assumption of statistical independence of observations.
“Often, researchers will randomize at a higher level (e.g., the school) but analyze the data at a lower level (e.g., individuals). Doing so almost always results in a violation of the assumption of the statistical independence of observations.”
Quote in the paperSubstantial claim - Interpretationreasoning
Conceptual replications do not help to rule out chance findings because failures to replicate in such studies are too easily attributed to the variations tested rather than to chance.
“Further, “conceptual” replications, in which researchers vary aspects of the intervention or the research operations, do not help to rule out chance findings because failures to replicate in such studies are too easily attributed to the variations tested rather than to the possibility that the earlier results were due to chance.”
Quote in the paperSubstantial claim - Premisereasoning
Time series designs with only a single treatment group are rarely unambiguously interpretable because the effects of the intervention are often confounded with other events occurring at the same time.
“Time series designs with only a single treatment group are rarely unambiguously interpretable because the effects of the intervention are often confounded with other events occurring at the same time.”
Quote in the paperSubstantial claim - Premisecitation
Some but not all matched comparison estimates were similar to estimates obtained in the randomized arm of the study.
“Some but not all of these matched comparison estimates were similar to the estimates obtained in the randomized arm of the study.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cook et al. 2008 source
Not checked in the free run.
- Premisereasoning
Once the same measure of material welfare that had determined eligibility for PROGRESA was statistically controlled, selection bias was reduced to essentially zero.
“Once the same measure of material welfare that had determined eligibility for PROGRESA was statistically controlled, selection bias was reduced to essentially zero.”
Quote in the paperSubstantial claim - Premisecitation
In nonexperimental studies, the choice of data analysis technique is not very important for reducing selection bias.
“In nonexperimental studies, the choice of data analysis technique is not very important for reducing selection bias.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationnone given
Randomized studies are less vulnerable to bias than nonrandomized studies.
“The evidence to date suggests that randomized studies are less vulnerable to bias than nonrandomized studies”
Quote in the paperSubstantial claim - Premisecitation
The use of intact group matching, especially using geographic proximity as a matching variable, is a useful strategy for reducing initial selection bias.
“Cook et al. (2008) concluded that the use of intact group matching, especially using geographic proximity as a matching variable, is a useful strategy for reducing initial selection bias.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cook et al. 2008 source
Not checked in the free run.
- Interpretationreasoning
A poorly implemented randomized design is as likely to yield biased results as a nonrandomized study.
“However, it bears repeating that a poorly implemented randomized design is as likely to yield biased results as a nonrandomized study.”
Quote in the paperNot a substantial claim - Premisecitation
Many of the same factors that influence adoption decisions and implementation quality also influence sustainability of interventions.
“Many of the same factors that influence adoption decisions and implementation quality also influence sustainability of interventions (Spoth et al. 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
- Premisecitation
Multisystemic therapy (MST) is more effective when implemented in the context of an organization development intervention that focuses on improving leadership and community agency culture and climate than when MST is implemented alone.
“For example, Glisson et al. (2010) demonstrated in a randomized trial that multisystemic therapy (MST) is more effective when implemented in the context of an organization development intervention that focuses on improving leadership and community agency culture and climate than when MST is implemented alone.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Glisson et al. 2010 source
Not checked in the free run.
- Interpretationcitation
Recent failures to replicate initial strong findings in the prevention field raise doubts about the assumption that an intervention that has demonstrated efficacy and effectiveness will produce similar effects upon scale-up if implemented with fidelity.
“Recent failures to replicate initial strong findings in the prevention field (referenced earlier) raise doubts about this assumption.”
Quote in the paperSubstantial claim - Premisenone given
The existing literature on characteristics related to high-quality delivery of EBIs focuses mainly on smaller scale interventions that usually involve education or provision of other services.
“Note that the existing literature on characteristics related to high-quality delivery of EBIs focuses mainly on smaller scale interventions that usually involve education or provision of other services.”
Quote in the paperSubstantial claim - Premisecitation
In biomedical research, initially reported effects from a third of highly cited clinical research studies were subsequently either contradicted or found to be substantially smaller than initially reported.
“He found that the initially reported effects from a third of these influential studies were subsequently either contradicted or found to be substantially smaller than initially reported.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ioannidis 2005 source
Not checked in the free run.
- Premisecitation
Technical assistance that incorporates on-the-job coaching has been repeatedly shown to be related to the quality of performance.
“In particular, technical assistance that incorporates on-the-job coaching has been repeatedly shown to be related to the quality of performance (Fixsen et al. 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fixsen et al. 2005
Not checked in the free run.
- Interpretationcitation
Assessing multiple outcomes that are likely to tap into the priorities of different audiences makes research more likely to be translated into practice.
“Assessing multiple outcomes that are likely to tap into the priorities of different audiences makes research more likely to be translated into practice (Glasgow and Steiner 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Glasgow and Steiner 2012 source
Not checked in the free run.
- Premisecitation
Many providers do not self-identify the need for technical assistance.
“Also, as many providers do not self-identify the need for technical assistance, the provision of technical assistance should be proactive rather than on demand (Spoth et al. 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
- Premisenone given
The PROSPER and Communities that Care community partnership/coalition models have both been demonstrated in rigorous research to sustain implementation of EBIs.
“The two community partnership/coalition models discussed previously (PROSPER and Communities that Care) have both been demonstrated in rigorous research to sustain implementation of EBIs.”
Quote in the paperNot a substantial claim - Premisecitation
The addition of high-quality technical assistance to training produces higher quality implementation than does training alone.
“Experimental research has shown that the addition of high-quality technical assistance to training produces higher quality implementation than does training alone.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak and DuPre 2008 source
Not checked in the free run.
- Premisecitation
Community partnership models have been shown to enhance selection, adoption, and sustained use of EBIs.
“Community partnership models are another form of organizational development intervention that have been shown to enhance selection, adoption, and sustained use of EBIs (Fagan et al. 2009; Spoth et al. 2011; Spoth and Greenberg 2011).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Fagan et al. 2009 source
Not checked in the free run.
- cites Spoth et al. 2011
Not checked in the free run.
- cites Spoth and Greenberg 2011
Not checked in the free run.
- Premisecitation
Manuals that include reproducible materials, provide audiovisual aids, provide lists of materials to be used, and specify activities to be carried out are related to higher scores on measures of implementation quality than interventions lacking such structured materials.
“research recommends the use of manuals that include reproducible materials, provide audiovisual aids, provide lists of materials to be used, and specify activities to be carried out because such materials are related to higher scores on measures of implementation quality than interventions lacking such structured materials (Gottfredson and Gottfredson 2002).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gottfredson and Gottfredson 2002 source
Not checked in the free run.
- Interpretationcitation
Adaptability and flexibility are key features of the intervention related to implementation quality.
“The findings summarized in Durlak and Dupre (2008), however, suggest that adaptability and flexibility are key features of the intervention related to implementation quality.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak and Dupre 2008 source
Not checked in the free run.
- Interpretationreasoning
Prior effectiveness trials will have generated data necessary to provide a benchmark level of implementation that has been shown in prior research to yield desired effects.
“Prior effectiveness trials will have generated data necessary to provide this critical feedback.”
Quote in the paperSubstantial claim - Interpretationcitation
Characteristics of the community organization(s) adopting the EBI are likely to be at least as important as characteristics of the intervention in determining success.
“This standard recognizes that characteristics of the community organization(s) adopting the EBI are likely to be at least as important as characteristics of the intervention in determining success.”
Quote in the paperSubstantial claim - Premisecitation
Training that includes demonstration of new practices, ample opportunity for practicing new skills, and feedback on performance of new skills is related to implementation quality.
“However, training that includes demonstration of the new practices, ample opportunity for practicing the new skills, and feedback on performance of the new skills is related to implementation quality (Fixsen et al. 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fixsen et al. 2005
Not checked in the free run.
- Interpretationreasoning
Standardization and structure are important features of intervention materials.
“These findings suggest that standardization and structure are important features of intervention materials.”
Quote in the paperSubstantial claim - Premisecitation
Interventions that monitored implementation obtained effect sizes two to three times larger than interventions that reported no monitoring.
“Durlak and DuPre (2008) summarized results of meta-analyses showing that interventions that monitored implementation obtained effect sizes two to three times larger than interventions that reported no monitoring.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak and DuPre 2008 source
Not checked in the free run.
- Premisecitation
Relatively little rigorous research has been conducted on the processes and systems through which evidence-based interventions (EBIs) are adopted, implemented, and sustained on a large scale.
“Relatively little rigorous research has been conducted related to the processes and systems through which EBIs are adopted, implemented, and sustained on a large scale.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. (2013)
Not checked in the free run.
- Premisecitation
Training that provides information only and "one-shot" training with no follow-up are especially unlikely to produce high-quality implementation.
“Training that provides information only and “one-shot” training with no follow-up are especially unlikely to produce high-quality implementation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fixsen et al. 2005
Not checked in the free run.
- Interpretationcitation
Even effects that are regarded as firmly established are often called into question in subsequent studies.
“This research suggests that even effects that are regarded as firmly established are often called into question in subsequent studies.”
Quote in the paperSubstantial claim - Interpretationreasoning
This process creates an ever-changing "treatment as usual" condition against which the intervention of interest should be compared.
“This process creates an ever-changing “treatment as usual” condition against which the intervention of interest should be compared.”
Quote in the paperSubstantial claim - Interpretationreasoning
Requiring independent replication prior to scale-up would add additional time to the already lengthy time needed for establishing the efficacy and subsequent effectiveness of evidence-based prevention interventions.
“This requirement would add additional time to the already lengthy time needed to for establishing the efficacy and subsequent effectiveness of evidence-based prevention interventions, which can involve a decade or more of development and evaluation.”
Quote in the paperSubstantial claim - Interpretationnone given
Requiring independent replication prior to scale-up at present would severely limit the number of interventions available for scaling up because so few have met this high bar.
“However, requiring independent replication prior to scale-up at present would severely limit the number of interventions available for scaling up because so few have met this high bar.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Unless investigator allegiance can be ruled out as a factor contributing to higher effect sizes, designer-controlled programs of research will be weakened with respect to the effect sizes that might be expected in real-world applications when the developer is absent.
“Unless they can rule out investigator allegiance as a factor contributing to higher effect sizes, designer-controlled programs of research will be weakened with respect to the effect sizes that might be expected in real-world applications when the developer is absent.”
Quote in the paperSubstantial claim - Premisecitation
Interventions that are attractively packaged and easy to use and that utilize teaching methods familiar to the provider are more likely to be adopted and implemented.
“Interventions that are attractively packaged and easy to use and that utilize teaching methods familiar to the provider are also more likely to be adopted and implemented (Rohrbach et al. 2006).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Rohrbach et al. 2006 source
Not checked in the free run.
- Interpretationreasoning
Evidence-based interventions that target entire populations may produce outcomes of practical significance even if the magnitude of the effect on individuals is small.
“EBIs that target entire populations may produce outcomes of practical significance even if the magnitude of the effect on individuals is small.”
Quote in the paperSubstantial claim - Premisecitation
Intervention materials that include a clear statement of the conditions necessary to implement the intervention, including characteristics of the setting, qualifications of intervention providers, content, and methods are more likely than less explicit materials to be implemented with higher quality.
“Intervention materials that include a clear statement of the conditions necessary to implement the intervention, including characteristics of the setting, qualifications of intervention providers, content, and methods are also more likely than less explicit materials to be implemented with higher quality (Fixsen et al. 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fixsen et al. 2005
Not checked in the free run.
- Premisecitation
Failure to engage a large enough fraction of the target population is a major impediment to the scaling up of EBIs.
“Failure to engage a large enough fraction of the target population (e.g., persons, organizations, institutions intended to participate) is a major impediment to the scaling up of EBIs (Spoth et al. 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
- Premisecitation
Enough consensus exists to provide a basis for establishing preliminary standards for practice related to community and organizational infrastructure.
“but enough consensus exists to provide a basis for establishing preliminary standards for practice related to community and organizational infrastructure (Aarons et al. 2012; Spoth et al. 2013).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Aarons et al. 2012 source
Not checked in the free run.
- cites Spoth et al. 2013
Not checked in the free run.
- Premisecitation
Such leadership encourages positive attitudes toward adopting EBIs.
“Such leadership encourages positive attitudes toward adopting EBIs (Aarons et al. 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Aarons et al. 2012 source
Not checked in the free run.
- Premisecitation
Successful implementation of an EBI depends on the confluence of features of the intervention, characteristics of the adopting organization, and external social, economic, and political forces in the larger community.
“It depends upon the confluence of features of the intervention, characteristics of the organization adopting the intervention, and external (social, economic, and political) forces in the larger community (Fixsen et al. 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fixsen et al. 2005
Not checked in the free run.
- Premisecitation
The presence of a strong leader who communicates a vision that includes the use of evidence to guide practice and encourages adherence to that vision is among the most important characteristics that encourage a climate supportive of implementing EBIs.
“Among the most important characteristics that encourage a climate supportive of implementing EBIs is the presence of a strong leader who communicates a vision that includes the use of evidence to guide practice and encourages adherence to that vision.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Aarons et al. 2012 source
Not checked in the free run.
- Premisecitation
Features of interventions or environments have been shown to be related to adoption, implementation, or sustainability of the intervention.
“These features of interventions or environments have been shown to be related to adoption, implementation, or sustainability of the intervention.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Durlak and DuPre 2008 source
Not checked in the free run.
- cites Fixsen et al. 2005
Not checked in the free run.
- cites Spoth et al. 2013
Not checked in the free run.
- Premisecitation
Common research practices are known to increase the proportion of false results.
“Nosek et al. (2012) summarized research that documented a number of common practices7 researchers engage in that, although sometimes justifiable, are known to increase the proportion of false results.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nosek et al. (2012) source
Not checked in the free run.
- Interpretationreasoning
It is less likely that different trials will produce similar effect sizes than that they will replicate a positive effect on an outcome.
“It is also less likely that different trials will produce similar effect sizes than that they will replicate a positive effect on an outcome.”
Quote in the paperNot a substantial claim - Premisecitation
The process of developing and testing preventive intervention is ongoing and cyclical.
“Instead, we concur with the view of Spoth et al. (2013) of the process of developing and testing preventive intervention as ongoing and cyclical.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. (2013)
Not checked in the free run.
- Premisecitation
Some dissemination attempts have been studied using randomized trials.
“Some dissemination attempts have been studied using randomized trials, however (Rohrbach et al. 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rohrbach et al. 2010 source
Not checked in the free run.
- Interpretationreasoning
Information from earlier stages informs decisions about scaling up.
“Information from earlier stages informs decisions about scaling up.”
Quote in the paperSubstantial claim - Premisecitation
When scale-up studies measure outcomes, their research designs often do not meet high standards of scientific rigor.
“When they do measure outcomes, the research designs often do not meet high standards of scientific rigor (Bloomquist et al. 2013; Schroeder et al. 2011; Winokur Early et al. 2012).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Bloomquist et al. 2013 source
Not checked in the free run.
- cites Schroeder et al. 2011
Not checked in the free run.
- cites Winokur Early et al. 2012
Not checked in the free run.
- Interpretationreasoning
Roll-out designs, in which organizations are randomly assigned to an implementation start-up time rather than to a permanent treatment or control condition, are not useful for documenting sustained effects of interventions because control cases eventually receive the treatment.
“While such designs are not useful for documenting sustained effects of interventions (because control cases eventually receive the treatment), they are an excellent choice for demonstrating that at least the initial outcomes of an intervention are consistent with those found in earlier studies.”
Quote in the paperSubstantial claim - Premisecitation
Brown et al. (2008) provide guidance in how data generated from multilevel randomized designs can be analyzed to estimate heterogeneity of effects.
“Brown et al. (2008) provide guidance in how data generated from multilevel randomized designs can be analyzed to estimate heterogeneity of effects.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brown et al. (2008) source
Not checked in the free run.
- Premisenone given
The research literature contains many examples of the use of rigorous designs to study population-level interventions such as rural road paving, water quality improvement, poverty reduction, and teacher incentives.
“and the research literature now contains many examples of the use of these designs to study population-level interventions such as rural road paving, water quality improvement, poverty reduction, and teacher incentives.”
Quote in the paperNot a substantial claim - Interpretationreasoning
What is learned from studies at later stages in the process is fed back to inform refinements of the interventions, which are then tested in accordance with the standards for efficacy and effectiveness trials.
“What is learned from studies at later stages in the process is fed back to inform refinements of the interventions, which are then tested in accordance with the standards for efficacy and effectiveness trials articulated earlier.”
Quote in the paperSubstantial claim - Premisecitation
Studies of scale-up efforts often focus on implementation quality rather than outcomes.
“Studies of scale-up efforts often focus on implementation quality rather than outcomes (Chamberlain et al. 2008; Forgatch and DeGarmo 2011).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
The evidence supporting Head Start's long-term effects is from studies of children who participated in Head Start in 1980 or earlier.
“Ludwig and Phillips (2008) also pointed out that the evidence supporting Head Start’s long-term effects is from studies of children who participated in Head Start in 1980 or earlier.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ludwig and Phillips 2008 source
Not checked in the free run.
- Premisereasoning
Rigorous methods for drawing causal inferences about the effects of interventions involving large aggregates exist.
“As discussed earlier in the document, rigorous methods for drawing causal inferences about the effects of interventions involving large aggregates exist”
Quote in the paperSubstantial claim
- May combine two claims. 29
- Classified as probably not a substantial claim. 61
May combine two claims.
Findingnone givenThe standard of independent evaluation is seldom met in Prevention Science, even though such studies are clearly feasible.
“This standard is seldom met in Prevention Science, even though such studies are clearly feasible.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe earlier standards recommended that monitoring and evaluation tools suitable for use by practitioners be made available to adopting organizations so that they could demonstrate to their constituencies that their prevention dollars were well spent.
“The earlier standards instead recommended that monitoring and evaluation tools suitable for use by practitioners be made available to adopting organizations so that they could demonstrate to their constituencies that their prevention dollars were well spent.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Flay et al. 2005 source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenEvaluations of the effects of interventions that are being widely implemented in a community but have not previously undergone randomized efficacy trials have great promise for identifying interventions with significant public health impact.
“For example, evaluations of the effects of interventions that are being widely implemented in a community but have not previously undergone randomized efficacy trials have great promise for identifying interventions with significant public health impact.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenOften, effectiveness and scale-up research generate new questions that are later addressed in new efficacy or effectiveness studies.
“Often, effectiveness and scale-up research generate new questions that are later addressed in new efficacy or effectiveness studies.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone givenMuch valuable prevention research does not follow the preventive intervention research cycle at all.
“We also recognize that much valuable prevention research does not follow the preventive intervention research cycle at all.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationA recent report from an SPR task force on type 2 translational research (Spoth et al. 2013) addresses the challenges to translating EBIs into broader usage and sets an agenda for needed research to advance this new science of translation.
“A recent report from an SPR task force on type 2 translational research (Spoth et al. 2013) addresses the challenges to translating EBIs into broader usage and sets an agenda for needed research to advance this new science of translation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe SPR task force recognizes that successful translation of EBIs into broader usage will require a more elaborated and less linear progression of research than is implied by the progression from efficacy to effectiveness to dissemination in the prior SPR standards.
“This task force recognizes that successful translation of EBIs into broader usage will require a more elaborated and less linear progression of research than is implied by the progression from efficacy to effectiveness to dissemination in the prior SPR standards.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenMuch can be learned about the factors influencing adoption, implementation, and sustainability of practices by conducting research on interventions that have not been developed according to the sequence implied in the preventive intervention research cycle.
“Likewise, much can be learned about the factors influencing adoption, implementation, and sustainability of practices by conducting research on interventions that have not been developed according to the sequence implied in the preventive intervention research cycle.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenIn the past 10 years, as it became clear that preventive interventions do indeed produce desired outcomes at least under optimal conditions, the emphasis in Prevention Science has shifted more toward understanding how these EBIs can be implemented on a broader scale to produce larger impacts on entire populations.
“In the past 10 years, as it became clear that preventive interventions do indeed produce desired outcomes at least under optimal conditions, the emphasis in Prevention Science has shifted more toward understanding how these EBIs can be implemented on a broader scale to produce larger impacts on entire populations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningBecause outcome research results are specific to the intervention actually tested, the samples (or populations), the point in time and settings from which they were drawn, and the outcomes measured, it is essential that conclusions from the research be clear regarding the intervention, population(s), time, and settings, and the outcomes for which efficacy is claimed.
“Because outcome research results are specific to the intervention actually tested, the samples (or populations), the point in time and settings from which they were drawn, and the outcomes measured, it is essential that conclusions from the research be clear regarding the intervention, population(s), time, and settings, and the outcomes for which efficacy is claimed.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationFlay et al. (2005) defined efficacy trials as studies of programs or policies delivered under optimal conditions, and effectiveness trials as studies conducted in real-world conditions.
“Flay et al. (2005) defined efficacy trials as studies of programs or policies delivered under optimal conditions, and effectiveness trials as studies conducted in real-world conditions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Flay et al. 2005 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationChen (1990) and MacKinnon (2008) discuss the two components of the theoretical mechanism: the "action theory" corresponds to how the treatment will affect mediators, and the "conceptual theory" focuses on how the mediators are related to the outcome variables.
“Chen (1990) and MacKinnon (2008) discuss the two components of this theoretical mechanism: The “action theory” corresponds to how the treatment will affect mediators, and the “conceptual theory” focuses on how the mediators are related to the outcome variables.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Chen (1990)
Not checked in the free run.
- cites MacKinnon (2008)
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenWhile some preventive intervention research continues to be developed along a continuum, the progression along this continuum often involves numerous critical feedback loops to inform needed research at earlier phases of the research cycle.
“We recognize that while some preventive intervention research continues to be developed along a continuum, the progression along this continuum often involves numerous critical feedback loops to inform needed research at earlier phases of the research cycle.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe traditional preventive intervention research cycle framework was appropriate to describe the prevention field 10 years ago, when Prevention Science was dominated by studies of risk and protective factors and evaluations of newly developed interventions.
“This framework was appropriate to describe the prevention field 10 years ago, when Prevention Science was dominated by studies of risk and protective factors and evaluations of newly developed interventions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningInterventions may become more or less effective relative to the usual state that would be present in the absence of the EBI.
“Interventions may become more or less effective relative to the usual state that would be present in the absence of the EBI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFlay et al. (2005) argued that even interventions that have been demonstrated to be effective in the real world might not be ready for broad dissemination.
“Further, Flay et al. (2005) argued that even interventions that have been demonstrated to be effective in the real world might not be ready for broad dissemination.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Flay et al. 2005 source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenStandards of evidence are expected to change over time as methods develop and as Prevention Science and practice advance.
“Standards of evidence are expected to change over time as methods develop and as Prevention Science and practice advance.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFlay et al. (2005) stated that effectiveness trials require an additional burden of proof above and beyond that required for efficacy trials because it is necessary to demonstrate that the intervention was in fact delivered under real-world conditions and that the outcomes are generalizable to the population targeted by the intervention.
“Flay et al. (2005) stated that effectiveness trials require an additional burden of proof above and beyond that required for efficacy trials because, for example, it is necessary to demonstrate that the intervention was in fact delivered under real-world conditions and that the outcomes are generalizable to the population targeted by the intervention.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Flay et al. 2005 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe SPR task force suggests that research on factors that are likely to influence the success of scale-up efforts should be incorporated throughout each phase of the development and testing of EBIs.
“Specifically, it suggests that research on factors that are likely to influence the success of scale-up efforts should be incorporated throughout each phase of the development and testing of EBIs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
May combine two claims.
PremisecitationFlay et al. (2005) did not consider standards for research on broad dissemination efforts, but rather assumed that once an intervention had cleared all hurdles related to efficacy and effectiveness, further rigorous research on its effects was not necessary as long as fidelity to the proven model was demonstrated.
“They did not consider standards for research on broad dissemination efforts, but rather assumed that once an intervention had cleared all hurdles related to efficacy and effectiveness, further rigorous research on its effects was not necessary as long as fidelity to the proven model was demonstrated.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Flay et al. 2005 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Flay et al. (2005) document was organized around the traditional preventive intervention research cycle (Mrazek and Haggerty 1994), which depicted a mostly linear progression for prevention research beginning with basic research on the nature of the problem to be addressed, progressing through the development of interventions, pilot testing, efficacy trials, effectiveness trial, and finally to
“The Flay et al. (2005) document was therefore organized around the traditional preventive intervention research cycle (Mrazek and Haggerty 1994), which depicted a mostly linear progression (although feedback across stages was anticipated) for prevention research beginning with basic research on the nature of the problem to be addressed, progressing through the development of interventions, pilot”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Flay et al. 2005 source
Not checked in the free run.
- cites Mrazek and Haggerty 1994
Not checked in the free run.
May combine two claims.
InterpretationreasoningResearch on the outcomes of scale-up efforts is necessary because neither prevention interventions nor alternatives to these interventions are static.
“This research is necessary because neither prevention interventions nor alternatives to these interventions are static.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenA clear and complete description of the intervention is necessary to guide practice, provide a basis for sound measurement of its implementation, and for replication.
“A clear and complete description of the intervention is necessary to guide practice, provide a basis for sound measurement of its implementation, and for replication.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe SPR task force recommends a more collaborative, practice-oriented framework for developing EBIs than is implied in the traditional preventive intervention research cycle.
“It also recommends a more collaborative, practice-oriented framework for developing EBIs than is implied in the traditional preventive intervention research cycle.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFlay et al. (2005) provided additional criteria that must be met in order to justify a decision to broadly disseminate.
“They therefore provided additional criteria that must be met in order to justify a decision to broadly disseminate.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Flay et al. 2005 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSpoth et al. (2013) call for an increase in research on the outcomes of scale-up efforts.
“Spoth et al. (2013) also call for an increase in research on the outcomes of scale-up efforts.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Spoth et al. 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenImportant work conducted by economists, public policy analysts, and evaluation researchers often generates conclusive answers to questions about what works under what conditions, while focusing less on describing the intervention, testing the theoretical model underlying the intervention, or creating conditions conducive to subsequent scaling up.
“In addition, important work conducted by economists, public policy analysts, and evaluation researchers often generates conclusive answers to questions about what works under what conditions, while focusing less on describing the intervention, testing the theoretical model underlying the intervention, or creating conditions conducive to subsequent scaling up.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenDismantling designs that randomly assign subjects to different core components are seldom feasible when the subjects are schools or communities.
“Of course, such designs are seldom feasible when the subjects are schools or communities.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe level of implementation of the intervention is meaningful only in comparison to what is present in the comparison condition.
“The level of implementation of the intervention is meaningful only in comparison to what is present in the comparison condition.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationnone givenEarly trials of an intervention can help to provide information (e.g., about costs and variability in the quality of implementation) that may not be critical in the early stages of development but that will become critical later.
“For example, we identified numerous ways in which early trials of an intervention can help to provide information (e.g., about costs and variability in the quality of implementation) that may not be critical in the early stages of development but that will become critical later.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenRandom assignment is the strongest possible design for generating statistically unbiased estimates of intervention effects.
“Although random assignment is the strongest possible design for generating statistically unbiased estimates of intervention effects”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenIt will take many years before researchers begin to build these elements into their research proposals and before funding agencies adapt their priorities to encourage inclusion of these elements in funded research.
“Clearly, it will take many years before researchers begin to build these elements into their research proposals and before funding agencies adapt their priorities to encourage inclusion of these elements in funded research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningMaking these theories explicit should help the developer to identify the features of the intervention that are most central to the action theory.
“Making these theories explicit should help the developer to identify the features of the intervention that are most central to the action theory.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe timing of intervention can be randomly assigned to allow a short-term comparison of outcomes between the early and later intervention groups.
“Also, the timing of intervention can be randomly assigned to allow a short-term comparison of outcomes between the early and later intervention groups.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningSound research on the risks of smoking and the effectiveness of specific strategies for reducing smoking were necessary building blocks for the tobacco control movement to occur, but not sufficient to produce change without a range of additional efforts aimed at translating the research into broad change.
“Sound research on the risks of smoking and the effectiveness of specific strategies for reducing smoking were necessary building blocks for this movement to occur, but not sufficient to produce change without a range of additional efforts aimed at translating the research into broad change.”
Quote in the paperSubstantial claim- The authors state this as an assumption: High-quality research on prevention interventions will lead to beneficial change.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningDemonstrated public health impact is essential at a later stage of program development, but it should not be ignored at the efficacy stage.
“Demonstrated public health impact is essential at a later stage of program development, but it should not be ignored at the efficacy stage.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenThe positive effects of an intervention may diminish rapidly or slowly, or broaden and increase over time.
“The positive effects of an intervention may diminish rapidly or slowly, or broaden and increase over time.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThere are now a total of seven studies comparing regression discontinuity and experimental estimates at the regression discontinuity cutoff score and six comparing experimental and interrupted time series or comparison time series designs with a nontreatment comparison series.
“There are now a total of seven studies comparing regression discontinuity and experimental estimates at the regression discontinuity cutoff score and there are six comparing experimental and interrupted time series or comparison time series designs with a nontreatment comparison series.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenPerceived obstacles to random assignment are often not as difficult to overcome as initially anticipated.
“perceived obstacles to random assignment are often not as difficult to overcome as initially anticipated”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningIn so doing, the underlying assumptions about hypothesized similarities in the causal structure as well as anticipated limitations to application across populations, settings, times, and outcomes will be documented.
“In so doing, the underlying assumptions about hypothesized similarities in the causal structure as well as anticipated limitations to application across populations, settings, times, and outcomes will be documented.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenDuring effectiveness trials, developer control over staff selection and supervision and sometimes training and quality control is loosened.
“During effectiveness trials, developer control over staff selection and supervision and (sometimes) training and quality control is loosened.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationEven small violations of the assumption of statistical independence can have very large impacts on the standard error of the effect size estimate and can greatly inflate the type I error rate.
“Even small violations of this assumption can have very large impacts on the standard error of the effect size estimate (Kenny and Judd 1986; Murray 1998), which in turn can greatly inflate the type I error rate (e.g., Scariano and Davenport 1987).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenDifferential measurement attrition can occur even when the rates of attrition are comparable across groups.
“Note that differential measurement attrition can occur even when the rates of attrition are comparable across groups.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenIn early stages of testing, the developer's team generally controls intervention materials, training, staff selection and supervision, feedback on implementation, data collection, and data analysis.
“In early stages of testing, the developer’s team generally controls intervention materials, training, staff selection and supervision, feedback on implementation, data collection, and data analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenEfficacy trials often have small sample sizes and are thus incapable of demonstrating effectiveness across different population subgroups.
“Efficacy trials also often have small sample sizes and are thus incapable of demonstrating effectiveness across different population subgroups.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationWhen intervention and comparison sites were from different states or different cities within a state, the groups were not equivalent and differences could not be adjusted away.
“Conversely, when intervention and comparison sites were from different states or even different cities within a state, the groups were not at all equivalent and differences could not be adjusted away.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningPropensity score matching is theoretically preferable because it is nonparametric and requires demonstrated overlap between treatment and comparison groups on observed variables.
“though the latter is theoretically preferable because it is nonparametric and requires demonstrated overlap between the treatment and comparison groups on observed variables.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMore leverage for reducing selection bias comes from preintervention theoretical analysis of the selection process, selecting local comparison groups that maximize group overlap, and using a heterogeneous and extensive collection of covariates including pretest waves of the main outcome.
“More leverage for reducing selection bias comes from (a) preintervention theoretical analysis of the selection process into treatment—or even direct observation of this process—so as to know which covariates to choose, (b) selecting local comparison groups that maximize group overlap before any covariate choice, and (c) using a heterogeneous and extensive collection of covariates that, at a min”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cook et al. 2009 source
Not checked in the free run.
May combine two claims.
PremisecitationAppropriate application of imputation methods requires assumptions about the pattern of missingness, and these assumptions are often not justified in practice.
“Appropriate application of these imputation methods requires assumptions about the pattern of missingness, however, and these assumptions are often not justified in practice.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationNon-randomized matched control designs should be used only when initial group differences are minimized, the selection process is fully known and modeled, or covariates lead to no detectable pretest differences.
“They should be used only under the following conditions:(a) Initial group differences are minimized, especially by identifying intact comparison groups that are local to the treatment group and demonstrably heavily overlap with it on at least pretest measures of the outcome (Cook et al. 2008 ); (b) the process by which treatment subjects select into the intervention group (or are selected into it)”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Interpretationnone givenThe comparison time series design, but not the single group interrupted time series design, can provide a useful alternative to randomized designs.
“We conclude that the comparison time series design, but not the single group interrupted time series design, can provide a useful alternative to randomized designs.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningThere is a continuum of developer control over intervention implementation and research.
“There is a continuum of developer control over intervention implementation and research.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningMost efficacy studies are limited in terms of generalizability because the intervention tested is one in which the developer has exerted substantial control, the population is often carefully selected to be amenable to the intervention, and the setting is likely to be one that is conveniently accessed by the researcher.
“Most efficacy studies are limited in terms of generalizability because the intervention tested is one in which the developer has exerted substantial control, the population is often carefully selected to be amenable to the intervention, and the setting is likely to be one that is conveniently accessed by the researcher.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThe conditions of intact group matching and complete knowledge of the selection process are rare.
“These conditions—intact group matching and complete knowledge of the selection process—are rare.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationReporting of interventions tested and the methods used to evaluate them is often suboptimal, even in best journals, and this often makes it difficult to judge the quality of the evidence from potentially important prevention trials.
“Unfortunately, reporting of interventions tested and the methods used to evaluate them is often suboptimal, even in our best journals (Grant et al. 2013), and this often makes it difficult to judge the quality of the evidence from potentially important prevention trials.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Grant et al. 2013 source
Not checked in the free run.
May combine two claims.
PremisereasoningProbability samples, at least of individuals, are rarely used in Prevention Science because tests of interventions generally require that the subjects be located in a limited geographical area.
“However, probability samples (at least of individuals) are rarely used in Prevention Science because tests of interventions generally require that the subjects be located in a limited geographical area.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationnone givenEven when executed faithfully, randomized trials often suffer from differential attrition across study groups, which often reduces group equivalence and renders the study results ambiguous.
“But even when executed faithfully, randomized trials often suffer from differential attrition across study groups, which often reduces group equivalence and renders the study results ambiguous.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBroad reforms are often made in response to highly publicized, emotionally laden incidents, and these incidents may result in numerous reforms at roughly the same time, making it impossible to isolate the effects of only one using time series analysis.
“Often broad reforms are made in response to highly publicized, often emotionally laden, incidents. These incidents may result in numerous reforms that fall into place at roughly the same time, making it impossible to isolate the effects of only one of them using time series analysis.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEffect sizes from trials conducted by program developers or creators were more than twice the size of effect sizes from trials conducted by others.
“They reported that effect sizes from trials conducted by program developers/creators were more than twice the size of effect sizes from trials conducted by others.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Petrosino and Soydan (2005) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe practical significance of an outcome can be expressed in terms of the combination of strength of effect and size of population affected.
“As a general rule, the practical significance of the outcome can be expressed in terms of the combination of strength of effect and size of population affected.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningMetrics of practical significance are likely to differ depending on the nature of the evidence-based intervention.
“However, metrics of practical significance are likely to differ depending on the nature of the EBI.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationReinvention or adaptation is essential to the success of dissemination and implementation efforts and is likely to lead to at least equal intervention effects as shown in the original efficacy or effectiveness trial.
“Rabin and Brownson (2012) identify reinvention or adaptation as essential to the success of dissemination and implementation efforts and suggest that such adaptation is likely to lead to “at least equal intervention effects as shown in the original efficacy or effectiveness trial” (p. 35).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rabin and Brownson 2012 source
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationcitationFidelity and adaptability can coexist in an intervention.
“Durlak and Dupre (2008) note the apparent contradiction between the importance of fidelity and adaptability in the research on implementation quantity and suggest that the apparent contradiction is resolved by recognizing that both qualities can coexist in an intervention.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Durlak and Dupre 2008 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningCareful attention to recruitment can improve the reach of the intervention.
“but careful attention to recruitment can improve the reach of the intervention.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningServices to which clients would be exposed in the absence of an EBI change over time.
“Similarly, the services to which clients would be exposed in the absence of an EBI change over time.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningA pattern of findings in which the average effect size across all tests of an outcome construct is positive and any outcome construct in the undesired direction can be attributed to chance supports a claim of effectiveness.
“Such a pattern of findings supports a claim of effectiveness.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenInterventions often change over time, presumably to meet evolving client needs.
“Interventions often change over time, presumably to meet evolving client needs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenHigh-quality implementation of larger scale interventions such as passage of new laws or changes to broad policies often requires some type of technical assistance to those charged with implementing the changes.
“While much of the research on the provision of technical assistance concerns interventions involving direct services, it is likely that high-quality implementation of larger scale interventions such as passage of new laws or changes to broad policies often requires some type of technical assistance to those charged with implementing the changes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe characteristics related to high-quality implementation of larger scale EBIs such as laws or broad policies are not as well documented as those for smaller scale interventions.
“The characteristics related to high-quality implementation of larger scale EBIs such as laws or broad policies are not as well documented but are likely to involve some of these same activities.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationSustained use of EBIs can be facilitated by a community partnership or coalition that continually reviews and addresses problems as they arise.
“However, we note that sustained use of EBIs can be facilitated by a community partnership or coalition, as discussed above, that continually reviews and addresses problems as they arise.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationInitial training is usually required to provide knowledge about the intervention, but training by itself seldom improves the quality of implementation.
“Research on training and technical assistance suggests that although initial training is usually required to provide knowledge about the intervention, training by itself seldom improves the quality of implementation (Fixsen et al. 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fixsen et al. 2005
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningFailure to reach those segments of population most at risk for experiencing problems and traditionally underserved communities is especially problematic for prevention efforts.
“Failure to reach those segments of population most at risk for experiencing problems (e.g., inner city neighborhoods, schools with weak leadership) and traditionally underserved communities (e.g., rural communities) is especially problematic for prevention efforts.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenServices with overlapping goals are frequently developed and implemented.
“Services with overlapping goals are frequently developed and implemented.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe observed pattern of more positive findings from research conducted by original research teams is equally consistent with a fidelity explanation.
“Of course, the observed pattern of more positive findings from research conducted by original research teams is equally consistent with a fidelity explanation: Program developers are likely to understand their interventions better and be more attuned to variations in implementation quality that might diminish intervention effectiveness.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA national evaluation of Head Start indicated that effects of the program were small and faded out more rapidly than anticipated.
“This point was recently made in response to evidence from a national evaluation of Head Start, a major early childhood program, indicating that effects of the program were small and faded out more rapidly than anticipated (Puma et al. 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Puma et al. 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningContinued assessment of outcomes is needed after scale-up in order to monitor changes in effect sizes over time and reevaluate prevention options.
“and that continued assessment of outcomes is needed after scale-up in order to monitor changes in effect sizes over time and reevaluate prevention options.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe quality of the Head Start program has improved since 1980, and the quality of the environments to which youth would be exposed in the absence of the program has also improved.
“While the quality of the Head Start program has improved since that time, so has the quality of the environments to which youth would be exposed in the absence of the program.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ludwig and Phillips 2008 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCurran et al. (2013) discuss models for blending design components of effectiveness and implementation research that may be particularly useful in studying scale-up efforts.
“Curran et al. (2013) also discuss models for blending design components of effectiveness and implementation research that may be particularly useful in the studying of scale-up efforts.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Curran et al. (2013) source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenIt is premature to draw conclusions about which mechanisms underlie the phenomenon of changing effect sizes over time.
“It is premature to draw conclusions about which mechanisms underlie the phenomenon of changing effect sizes over time, and they are likely to vary by the intervention in question as well.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationAlternative early childhood programs developed and evaluated since the initiation of Head Start are far more cost effective than Head Start.
“Ludwig and Phillips (2008) commented that alternative early childhood programs have been developed and evaluated since the initiation of Head Start that are far more cost effective than Head Start.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ludwig and Phillips 2008 source
Not checked in the free run.
The authors state this as an assumption.
High-quality research on prevention interventions will lead to beneficial change.
“An assumption on which these standards are based is that high-quality research on such interventions will lead to beneficial change.”
The paper relies on this without support.
The earlier standards did not provide sufficient guidance on standards for replication.
“It noted that important research has been conducted in the past decade that might alter design recommendations for efficacy studies, that the earlier standards did not provide sufficient guidance on standards for replication, and that the field had made important strides in understanding prerequisites for scaling up of effective interventions that should now be incorporated into the SPR standards.”
The paper relies on this without support.
The field had made important strides in understanding prerequisites for scaling up of effective interventions.
“It noted that important research has been conducted in the past decade that might alter design recommendations for efficacy studies, that the earlier standards did not provide sufficient guidance on standards for replication, and that the field had made important strides in understanding prerequisites for scaling up of effective interventions that should now be incorporated into the SPR standards.”
The paper relies on this without support.
Important research has been conducted in the past decade that might alter design recommendations for efficacy studies.
“It noted that important research has been conducted in the past decade that might alter design recommendations for efficacy studies, that the earlier standards did not provide sufficient guidance on standards for replication, and that the field had made important strides in understanding prerequisites for scaling up of effective interventions that should now be incorporated into the SPR standards.”
The paper relies on this without support.
There is currently no accepted standard to guide cost assessment, and considerable variability exists in what elements are included.
“There is currently no accepted standard to guide cost assessment, and considerable variability exists in what elements are included.”
The paper relies on this without support.
Costs incurred during efficacy and effectiveness trials are likely to include significant costs related to conducting the research that are difficult to separate from the costs likely to be incurred by communities later adopting the intervention.
“Costs incurred during efficacy and effectiveness trials are likely to include significant costs related to conducting the research that are difficult to separate from the costs likely to be incurred by communities later adopting the intervention.”
The paper relies on this without support.
Costs are likely to change over time as programs evolve.
“Further, costs are likely to change over time as programs evolve.”
The paper relies on this without support.
Researchers do not usually estimate cost-effectiveness in efficacy trials.
“Researchers do not usually estimate cost-effectiveness in efficacy trials.”
The paper relies on this without support.
Cost-effectiveness information will influence decisions to adopt the intervention at a later stage.
“This information will influence decisions to adopt the intervention at a later stage and so should be collected during earlier stages if possible.”
The paper relies on this without support.
Selection effects are the most serious and prevalent source of bias in prevention research.
“Although there are many sources of bias in the estimation of causal effects, selection effects are the most serious and prevalent in prevention research.”
The paper relies on this without support.
Correct randomization procedures are not always implemented or sometimes break down in practice.
“Because correct randomization procedures are not always implemented or sometimes break down in practice”
The authors state this as an assumption.
The comparison time series designs produce unbiased estimates of treatment effects assumes that there are few studies with conflicting results sitting in file drawers.
“this assumes, of course, that there are few studies with conflicting results sitting in “file drawers””
The authors state this as an assumption.
Missing data are missing at random, which means that there is no discernible pattern to the missingness once measured variables are controlled.
“The required assumption is that missing data are “missing at random,” which means that there is no discernible pattern to the missingness once measured variables are controlled.”
The paper relies on this without support.
There is no consensus on the best way to handle multiple comparisons in prevention research.
“There is no consensus on the best way to handle this issue in prevention research.”
The paper relies on this without support.
The prevention research enterprise is no closer to reaching the high standard for replication to rule out chance findings than it was 10 years ago.
“The prevention research enterprise appears no closer to reaching this high standard for replication to rule out chance findings, and funding agencies are no more likely today to fund replications simply to verify the results of an earlier study than they were 10 years ago.”
The paper relies on this without support.
Funding agencies are no more likely today to fund replications simply to verify the results of an earlier study than they were 10 years ago.
“funding agencies are no more likely today to fund replications simply to verify the results of an earlier study than they were 10 years ago.”
The paper relies on this without support.
When replication studies are conducted, they are much more likely to be for testing variations in the intervention or generalizing results than for ruling out chance findings.
“When replication studies are conducted, they are much more likely to be for the purpose of testing variations in the intervention or of generalizing results to different settings or populations than for ruling out chance findings.”
The paper relies on this without support.
Incomplete and inaccurate reporting results in underuse of the research.
“Incomplete and inaccurate reporting results in underuse of the research.”
The paper relies on this without support.
Incomplete reporting is a problem in other disciplines as well.
“Incomplete reporting is a problem in other disciplines as well.”
The paper relies on this without support.
The goal of making independent evaluations of preventive interventions routine is too distant at this time to justify establishing a requirement that these evaluations be completed prior to scaling up.
“The goal of making independent evaluations of preventive interventions routine is arguably too distant at this time to justify establishing a requirement that these evaluations be completed prior to scaling up.”
The paper relies on this without support.
Cost-benefit information would likely be a powerful tool at the adoption and sustaining stages of scale-up.
“Although this information on longer term benefits of prevention interventions is seldom available, such information would likely to be a powerful tool at the adoption and sustaining stages of scale-up.”
The paper relies on this without support.
Agreed-upon structures and mechanisms to facilitate the sharing of individual-level datasets for combination and data synthesis do not currently exist.
“Although models are available (Perrino et al. 2013), agreed-upon structures and mechanisms to facilitate the sharing of individual-level datasets for combination and data synthesis do not currently exist.”
The paper relies on this without support.
An intervention that is ready to be scaled up in terms of research support and materials, training, and technical assistance will not be adopted, implemented, or sustained in the absence of local capacity to adopt, implement, and sustain its use.
“An intervention may be ready to be scaled up in terms of the research supporting its effectiveness and (if appropriate) the materials, training, and technical assistance available to communities, but it will not be adopted, implemented, or sustained in the absence of local capacity to adopt, implement, and sustain its use.”
The paper relies on this without support.
No rigorous research has tested the validity of available community readiness scales for predicting improved implementation quality or sustainability of an intervention.
“Although good psychometric properties have been reported for these scales, we know of no rigorous research that has tested the validity of the scales for predicting improved implementation quality or sustainability of an intervention.”
The paper relies on this without support.
At present, very little research is available to guide the use of data from community readiness assessments in practice.
“At present, very little research is available to guide the use of data from such assessments in practice.”
The paper relies on this without support.
Standards do not currently exist to guide decisions about which cost elements should be included in cost accounting.
“As noted earlier, standards do not currently exist to guide decisions about which cost elements should be included in cost accounting.”
The paper relies on this without support.
Intent-to-treat analyses often neglect important variation in the effect of an intervention across individual characteristics, context, and time.
“For example, intent-to-treat analyses often neglect important variation in the effect of an intervention across individual characteristics, context, and time.”
The paper relies on this without support.
Conditions encountered in a scale-up effort are likely to be less well suited for research than conditions encountered in efficacy and even effectiveness trials.
“Whatever design is used, it is likely that conditions encountered in a scale-up effort will be less well suited for research than conditions encountered in efficacy and even effectiveness trials.”
The paper relies on this without support.
Some effective interventions require further research and development to boost their small to negligible effects.
“Some of our “effective” interventions require further research and development to boost their small to negligible effects.”
The paper relies on this without support.
Some effective interventions require updated research to demonstrate continued effectiveness.
“Others require updated research to demonstrate continued effectiveness.”
The paper relies on this without support.
Many policy or legislative changes fail to change behavior.
“Despite the potential of larger scale interventions to reach large proportions of the population, history shows that many policy or legislative changes fail to change behavior.”
The authors state this as an assumption.
Investing in high-quality research will produce higher quality evidence on which to base sound policies and practices.
“The underlying assumption in providing these standards is that investing in high-quality research will produce higher quality evidence on which to base sound policies and practices.”
The paper relies on this without support.
More informed decisions will enhance well-being more in the long run than will best guesses based on existing evidence.
“More informed decisions will enhance well-being more in the long run than will best guesses based on existing evidence.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Type 1 translational prevention science requires an intervention to have an action theory linking it to biological mediators and a conceptual theory linking mediators to outcomes.
“A core foundation of type 1 translational prevention science is that the intervention must have an “action theory” that corresponds to how the intervention will affect the underlying biologically based mechanisms of change, or mediators, as well as a conceptual theory that describes how the mediators will predict the hypothesized outcome variables [10].”
From A translational neuroscience perspective on mindfulness meditation as a prevention strategy (2016) · cites this paper as [10]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Multiple-outcome guidance points to the pretest-differences standard
MinorThe text directs readers to Standard 6.d. for an omnibus test correcting for alpha inflation, but Standard 6.d. addresses pretest differences. Standard 6.e. addresses multiple outcomes.
“For studies reporting findings for multiple measures of the same construct, an omnibus test that corrects for alpha inflation must confirm a nonchance effect in the desired direction (see Standard 6.d.).”
“6.d. Standard: Pretest differences must be measured and statistically adjusted, if necessary.”
Cites
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,768 · see citing works
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
the CONSORT Group, Schulz, K. F., Altman, D. G., & Moher, D. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-18 · Cited by 13,371 · see citing works
(2002) · Cited by 13,211 · see citing works
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638 · see citing works
(1979) · Medical Entomology and Zoology · Cited by 11,252 · see citing works
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
Schulz, K. F., Altman, D. G., Moher, D., & for the CONSORT Group (2010) · BMJ · doi:10.1136/bmj.c332 · Cited by 9,329 · see citing works
Introduction to Statistical Mediation Analysis
MacKinnon, D. P. (2012) · doi:10.4324/9780203809556 · Cited by 5,618 · see citing works
Durlak, J. A., & DuPre, E. P. (2008) · American Journal of Community Psychology · doi:10.1007/s10464-008-9165-0 · Cited by 5,304 · see citing works
Models for Longitudinal Data: A Generalized Estimating Equation Approach
Zeger, S. L., Liang, K., & Albert, P. S. (1988) · Biometrics · doi:10.2307/2531734 · Cited by 4,505 · see citing works
Curran, G. M., Bauer, M., Mittman, B., Pyne, J. M., & Stetler, C. (2012) · Medical Care · doi:10.1097/mlr.0b013e3182408812 · Cited by 4,058 · see citing works
(2005) · Cited by 3,748 · see citing works
Consort 2010 statement: extension to cluster randomised trials
Campbell, M. K., Piaggio, G., Elbourne, D. R., Altman, D. G., & for the CONSORT Group (2012) · BMJ · doi:10.1136/bmj.e5661 · Cited by 3,510 · see citing works
Hierarchical Linear Models: Applications and Data Analysis Methods.
Goldstein, H., Bryk, A. S., & Raudenbush, S. W. (1993) · Journal of the American Statistical Association · doi:10.2307/2290750 · Cited by 3,320 · see citing works
Des Jarlais, D. C., Lyles, C., Crepaz, N., & the TREND Group (2004) · American Journal of Public Health · doi:10.2105/ajph.94.3.361 · Cited by 2,817 · see citing works
Shumaker, S. A., Legault, C., Rapp, S. R., Thal, L., Wallace, R. B., Ockene, J. K., Hendrix, S. L., Jones III, B. N., Assaf, A. R., Jackson, R. D., et al. (2003) · JAMA · doi:10.1001/jama.289.20.2651 · Cited by 2,178 · see citing works
Reducing Risks for Mental Disorders: Frontiers for Preventive Intervention Research
(1994) · doi:10.17226/2139 · Cited by 2,073 · see citing works
The dynamic sustainability framework: addressing the paradox of sustainment amid ongoing change
Chambers, D. A., Glasgow, R. E., & Stange, K. C. (2013) · Implementation Science · doi:10.1186/1748-5908-8-117 · Cited by 1,724 · see citing works
Contradicted and Initially Stronger Effects in Highly Cited Clinical Research
Ioannidis, J. P. A. (2005) · JAMA · doi:10.1001/jama.294.2.218 · Cited by 1,465 · see citing works
American Journal of Community Psychology
(2016) · American Journal of Community Psychology · doi:10.1002/(issn)1573-2770 · Cited by 1,453 · see citing works
Dissemination and Implementation Research in HealthTranslating Science to Practice
Brownson, R. C., Colditz, G. A., & Proctor, E. K. (2012) · doi:10.1093/acprof:oso/9780199751877.001.0001 · Cited by 1,355 · see citing works
Standards of Evidence: Criteria for Efficacy, Effectiveness and Dissemination
Flay, B. R., Biglan, A., Boruch, R. F., Castro, F. G., Gottfredson, D., Kellam, S., Mościcki, E. K., Schinke, S., Valentine, J. C., & Ji, P. (2005) · Prevention Science · doi:10.1007/s11121-005-5553-y · Cited by 1,338 · see citing works
Self-citationPashler, H., & Wagenmakers, E. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612465253 · Cited by 1,321 · see citing works
Nosek (2012) · doi:10.1177/1745691612459058 · Cited by 1,301 · see citing works
Chen, H.-T. (1990) · Medical Entomology and Zoology · Cited by 1,227 · see citing works
European Monitoring Centre for Drugs and Drug Addiction
Anderson, M. (2014) · European Union regulations | European Encyclopedia of law · Cited by 1,214 · see citing works
Journal of Consulting and Clinical Psychology
Rice, T. K., & Wallace, D. (2008) · Wiley eBooks · doi:10.1002/9780470373699.speced1159 · Cited by 1,192 · see citing works
Design and Analysis of Group-Randomized Trials
Sonnad, S. S. (1999) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199902000-00025 · Cited by 1,130 · see citing works
Design and Analysis of Group-Randomized Trials
Murray, D. M. (2007) · doi:10.1093/oso/9780195120363.001.0001 · Cited by 1,114 · see citing works
Hierarchical linear models: Applications and data analysis methods
Rumberger, R. W. (1997) · Economics of Education Review · doi:10.1016/s0272-7757(97)80188-4 · Cited by 984 · see citing works
Issues in Disseminating and Replicating Effective Prevention Programs
Elliott, D. S., & Mihalic, S. (2004) · Prevention Science · doi:10.1023/b:prev.0000013981.28071.52 · Cited by 794 · see citing works
Replications in Psychology Research: How Often Do They Really Occur?
Makel, M. C., Plucker, J. A., & Hegarty, B. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612460688 · Cited by 750 · see citing works
Flay, B. R. (1986) · Preventive Medicine · doi:10.1016/0091-7435(86)90024-1 · Cited by 723 · see citing works
Is the Replicability Crisis Overblown? Three Arguments Examined
Pashler, H., & Harris, C. R. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612463401 · Cited by 697 · see citing works
Consequences of violating the independence assumption in analysis of variance.
Kenny, D. A., & Judd, C. M. (1986) · Psychological Bulletin · doi:10.1037/0033-2909.99.3.422 · Cited by 616 · see citing works
Cook, T. D., Shadish, W. R., & Wong, V. C. (2008) · Journal of Policy Analysis and Management · doi:10.1002/pam.20375 · Cited by 604 · see citing works
Self-citationLipsey, M. W. (1991) · Evaluation and Program Planning · doi:10.1016/0149-7189(91)90027-e · Cited by 598 · see citing works
Why Science Is Not Necessarily Self-Correcting
Ioannidis, J. P. A. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612464056 · Cited by 563 · see citing works
Gardner, F., Burton, J., & Klimes, I. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01668.x · Cited by 507 · see citing works
Self-citationHutchings, J., Bywater, T., Daley, D., Gardner, F., Whitaker, C., Jones, K., Eames, C., & Edwards, R. T. (2007) · BMJ · doi:10.1136/bmj.39126.620799.55 · Cited by 482 · see citing works
Self-citationShadish, W. R., Clark, M. H., & Steiner, P. M. (2008) · Journal of the American Statistical Association · doi:10.1198/016214508000000733 · Cited by 479 · see citing works
Quality of School-Based Prevention Programs: Results from a National Survey
Gottfredson, D. C., & Gottfredson, G. D. (2002) · Journal of Research in Crime and Delinquency · doi:10.1177/002242780203900101 · Cited by 474 · see citing works
Self-citationOlds, D. L., Robinson, J., Pettitt, L., Luckey, D. W., Holmberg, J., Ng, R. K., Isacks, K., Sheff, K., & Henderson, C. R. (2004) · Pediatrics · doi:10.1542/peds.2004-0961 · Cited by 465 · see citing works
Menting, A. T. A., Orobio de Castro, B., & Matthys, W. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.07.006 · Cited by 417 · see citing works
Experimental Designs for Identifying Causal Mechanisms
Imai, K., Tingley, D., & Yamamoto, T. (2013) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2012.01032.x · Cited by 408 · see citing works
Evidence matters: randomized trials in education research
(2003) · Choice Reviews Online · doi:10.5860/choice.40-3545 · Cited by 374 · see citing works
Nonexperimental Versus Experimental Estimates of Earnings Impacts
Glazerman, S., Levy, D. M., & Myers, D. (2003) · The ANNALS of the American Academy of Political and Social Science · doi:10.1177/0002716203254879 · Cited by 352 · see citing works
Rohrbach (2006) · doi:10.1177/0163278706290408 · Cited by 300 · see citing works
Society for Prevention Research Type 2 Translational Task Force Members and Contributing Authors, Spoth, R., Rohrbach, L. A., Greenberg, M., Leaf, P., Brown, C. H., Fagan, A., Catalano, R. F., Pentz, M. A., Sloboda, Z., et al. (2013) · Prevention Science · doi:10.1007/s11121-012-0362-6 · Cited by 283 · see citing works
The Desperate Need for Replications
Hunter, J. E. (2001) · Journal of Consumer Research · doi:10.1086/321953 · Cited by 281 · see citing works
Ennett, S. T., Ringwalt, C. L., Thorne, J., Rohrbach, L. A., Vincus, A., Simons-Rudolph, A., & Jones, S. (2003) · Prevention Science · doi:10.1023/a:1021777109369 · Cited by 276 · see citing works
Hallfors, D. (2002) · Health Education Research · doi:10.1093/her/17.4.461 · Cited by 265 · see citing works
Six-Year Follow-up of Preventive Interventions for Children of Divorce
Wolchik, S. A., Sandler, I. N., Millsap, R. E., Plummer, B. A., Greene, S. M., Anderson, E. R., Dawson‐McClure, S., Hipke, K. N., & Haine, R. A. (2002) · JAMA · doi:10.1001/jama.288.15.1874 · Cited by 256 · see citing works
Self-citationMissing not at random models for latent growth curve analyses.
Enders, C. K. (2011) · Psychological Methods · doi:10.1037/a0022640 · Cited by 255 · see citing works
Hedeker, D., Gibbons, R. D., & Flay, B. R. (1994) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.62.4.757 · Cited by 254 · see citing works
Randomized trial of MST and ARC in a two-level evidence-based treatment implementation strategy.
Glisson, C., Schoenwald, S. K., Hemmelgarn, A., Green, P., Dukes, D., Armstrong, K. S., & Chapman, J. E. (2010) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0019160 · Cited by 243 · see citing works
Growth Modeling with Non-Ignorable Dropout: Alternative Analyses of the STAR*D Antidepressant Trial
Muthén, B., Asparouhov, T., Hunter, A. M., & Leuchter, A. (2011) · Psychological methods · doi:10.1037/a0022634 · Cited by 216 · see citing works
Research Design for Program Evaluation: The Regression-Discontinuity Approach.
Spiegelman, C. H., & Trochim, W. M. K. (1986) · Journal of the American Statistical Association · doi:10.2307/2289044 · Cited by 203 · see citing works
Diaz, J. J., & Handa, S. (2006) · Journal of Human Resources · doi:10.3368/jhr.xli.2.319 · Cited by 196 · see citing works
Zerbe, R. O., & McCurdy, H. E. (1999) · Journal of Policy Analysis and Management · doi:10.1002/(sici)1520-6688(199923)18:4 · Cited by 193 · see citing works
Research design for program evaluation: The regression-discontinuity approach
Spiegelman, C. H. (1985) · Evaluation and Program Planning · doi:10.1016/0149-7189(85)90035-7 · Cited by 188 · see citing works
Research ethics for mental health science involving ethnic minority children and youths.
Fisher, C. B., Hoagwood, K., Boyce, C. A., Duster, T., Frank, D. A., Grisso, T., Levine, R. J., Macklin, R., Spencer, M. B., Takanishi, R., et al. (2002) · American Psychologist · doi:10.1037//0003-066x.57.12.1024 · Cited by 179 · see citing works
Brown, C. H., Wang, W., Kellam, S. G., Muthén, B. O., Petras, H., Toyinbo, P., Poduska, J., Ialongo, N., Wyman, P. A., Chamberlain, P., et al. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2007.11.013 · Cited by 177 · see citing works
Replication in prevention science
Valentine, J. C., Biglan, A., Boruch, R. F., Castro, F. G., Collins, L. M., Flay, B. R., Kellam, S., Mościcki, E. K., & Schinke, S. P. (2011) · Prevention Science · doi:10.1007/s11121-011-0217-6 · Cited by 166 · see citing works
Petrosino, A., & Soydan, H. (2005) · Journal of Experimental Criminology · doi:10.1007/s11292-005-3540-8 · Cited by 152 · see citing works
Public Health Law Research: Theory and Methods
Wagenaar, A. C., & Burris, S. C. (2014) · Journal of Nursing Regulation · doi:10.1016/s2155-8256(15)30116-2 · Cited by 151 · see citing works
Malti, T., Ribeaud, D., & Eisner, M. (2011) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2011.597084 · Cited by 150 · see citing works
Griffin, K. W., Botvin, G. J., & Nichols, T. R. (2004) · Prevention Science · doi:10.1023/b:prev.0000037643.78420.74 · Cited by 138 · see citing works
Fidelity and Its Relationship to Implementation Effectiveness, Adaptation, and Dissemination
Allen, J. D., Linnan, L. A., & Emmons, K. M. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199751877.003.0014 · Cited by 131 · see citing works
Henry, S. G. B. (1989) · International Journal of Forecasting · doi:10.1016/0169-2070(89)90021-6 · Cited by 128 · see citing works
Developing the Terminology for Dissemination and Implementation Research
Rabin, B. A., & Brownson, R. C. (2012) · Dissemination and Implementation Research in HealthTranslating Science to Practice · doi:10.1093/acprof:oso/9780199751877.003.0002 · Cited by 128 · see citing works
<i>Long‐Term Effects of Head Start on Low‐Income Children</i>
Ludwig, J., & Phillips, D. A. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1425.005 · Cited by 119 · see citing works
The Effects of Violations of Independence Assumptions in the One-Way ANOVA
Scariano, S. M., & Davenport, J. M. (1987) · The American Statistician · doi:10.1080/00031305.1987.10475459 · Cited by 119 · see citing works
Unit roots in economic time series: a selective surveyPreprint
Diebold, F. X., & Nerlove, M. (1988) · RePEc: Research Papers in Economics · Cited by 117 · see citing works
Research ethics for mental health science involving ethnic minority children and youths.
Fisher, C. B., Hoagwood, K., Boyce, C. A., Duster, T., Frank, D. A., Grisso, T., Levine, R. J., Macklin, R., Spencer, M. B., Takanishi, R., et al. (2002) · American Psychologist · doi:10.1037/0003-066x.57.12.1024 · Cited by 115 · see citing works
Protocol for CONSORT-SPI: an extension for social and psychological interventions
Montgomery, P., Grant, S., Hopewell, S., Macdonald, G. M., Moher, D., Michie, S., & Mayo‐Wilson, E. (2013) · Implementation Science · doi:10.1186/1748-5908-8-99 · Cited by 114 · see citing works
Grant, S. P., Mayo-Wilson, E., Melendez-Torres, G. J., & Montgomery, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065442 · Cited by 111 · see citing works
Gottfredson, D., Kumpfer, K., Polizzi-Fox, D., Wilson, D., Puryear, V., Beatty, P., & Vilmenay, M. (2006) · Prevention Science · doi:10.1007/s11121-005-0017-y · Cited by 101 · see citing works
Self-citationChamberlain, P., Brown, C. H., Saldana, L., Reid, J., Wang, W., Marsenich, L., Sosna, T., Padgett, C., & Bouwman, G. (2008) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-008-0167-x · Cited by 100 · see citing works
Sustaining Fidelity Following the Nationwide PMTO™ Implementation in Norway
Forgatch, M. S., & DeGarmo, D. S. (2011) · Prevention Science · doi:10.1007/s11121-011-0225-6 · Cited by 99 · see citing works
Clair, T. S., Cook, T. D., & Hallberg, K. (2014) · American Journal of Evaluation · doi:10.1177/1098214014527337 · Cited by 99 · see citing works
Self-citationMontgomery, P., Underhill, K., Gardner, F., Operario, D., & Mayo-Wilson, E. (2013) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2013.03.006 · Cited by 92 · see citing works
Self-citationHallfors, D. D., Cho, H., Sanchez, V., Khatapoush, S., Kim, H. M., & Bauer, D. J. (2006) · American Journal of Public Health · doi:10.2105/ajph.2005.067462 · Cited by 88 · see citing works
Wing, C., & Cook, T. D. (2013) · Journal of Policy Analysis and Management · doi:10.1002/pam.21721 · Cited by 87 · see citing works
Self-citationFagan, A. A., Hanson, K., Hawkins, J. D., & Arthur, M. W. (2009) · Journal of Community Psychology · doi:10.1002/jcop.20332 · Cited by 84 · see citing works
The Role of Organizational Processes in Dissemination and Implementation Research
Aarons, G. A., Moullin, J. C., & Ehrhart, M. G. (2017) · Oxford University Press eBooks · doi:10.1093/oso/9780190683214.003.0008 · Cited by 84 · see citing works
Cook, T. D., Steiner, P. M., & Pohl, S. (2009) · Multivariate Behavioral Research · doi:10.1080/00273170903333673 · Cited by 81 · see citing works
Self-citationDeveloping a reporting guideline for social and psychological intervention trials
Mayo‐Wilson, E., Grant, S., Hopewell, S., Macdonald, G. M., Moher, D., & Montgomery, P. (2013) · Trials · doi:10.1186/1745-6215-14-242 · Cited by 80 · see citing works
Advancing Science Through Collaborative Data Sharing and Synthesis
NIMH Collaborative Data Synthesis for Adolescent Depression Trials Study Team including:, Perrino, T., Howe, G. W., Sperling, A., Beardslee, W. R., Sandler, I. N., Shern, D. L., Pantin, H. M., Kaupert, S., Cano, N. M., et al. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691613491579 · Cited by 79 · see citing works
Self-citationSpoth, R. L., Guyll, M., Redmond, C. R., Greenberg, M. T., & Feinberg, M. E. (2011) · American Journal of Community Psychology · doi:10.1007/s10464-011-9430-5 · Cited by 78 · see citing works
Dunn, W. N. (2024) · Routledge eBooks · doi:10.4324/9781003578192 · Cited by 76 · see citing works
Spoth, R. L., & Greenberg, M. T. (2011) · American Journal of Community Psychology · doi:10.1007/s10464-010-9417-7 · Cited by 76 · see citing works
Preventing Injuries to Children Through Compulsory Automobile Safety Seat Use
Wagenaar, A. C., & Webster, D. W. (1986) · PEDIATRICS · doi:10.1542/peds.78.4.662 · Cited by 54 · see citing works
The Role of Organizational Processes in Dissemination and Implementation Research
Aarons, G. A., Horowitz, J. D., Dlugosz, L. R., & Ehrhart, M. G. (2012) · Dissemination and Implementation Research in HealthTranslating Science to Practice · doi:10.1093/acprof:oso/9780199751877.003.0007 · Cited by 52 · see citing works
Introduction to the Special Issue: Subgroup Analysis in Prevention and Intervention Research
Supplee, L. H., Kelly, B. C., MacKinnon, D. P., & Barofsky, M. Y. (2012) · Prevention Science · doi:10.1007/s11121-012-0335-9 · Cited by 50 · see citing works
Using Experiments to Assess Nonexperimental Comparison-Group Methods for Measuring Program Effects.
Bloom, H. S., Michalopoulos, C., & Hill, C. J. (2005) · Cited by 48 · see citing works
The Implementation of a Statewide Bullying Prevention Program
Schroeder, B. A., Messina, A. F., Schroeder, D. L., Good, K., Barto, S., Saylor, J. L., & Masiello, M. G. (2011) · Health Promotion Practice · doi:10.1177/1524839910386887 · Cited by 45 · see citing works
Statistical methods for preventive trials in mental health
Brown, C. H. (1993) · Statistics in Medicine · doi:10.1002/sim.4780120312 · Cited by 41 · see citing works
One-year follow-up evaluation of the Project Towards No Drug Abuse (TND) dissemination trial
Rohrbach, L. A., Sun, P., & Sussman, S. (2010) · Preventive Medicine · doi:10.1016/j.ypmed.2010.07.016 · Cited by 40 · see citing works
Estimating the Costs of Preventive Interventions
Foster, E. M., Porter, M. M., Ayers, T. S., Kaplan, D. L., & Sandler, I. N. (2007) · Evaluation Review · doi:10.1177/0193841x07299247 · Cited by 37 · see citing works
Self-citationGlasgow, R. E., & Steiner, J. F. (2012) · Dissemination and Implementation Research in HealthTranslating Science to Practice · doi:10.1093/acprof:oso/9780199751877.003.0004 · Cited by 35 · see citing works
Boruch, R. F. (2005) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716205275610 · Cited by 33 · see citing works
The Quantum Opportunity Program Demonstration: Final ImpactsPreprint
Schirm, A. L., Stuart, E. A., & McKie, A. (2006) · RePEc: Research Papers in Economics · Cited by 31 · see citing works
The Effects of Project ALERT One Year Past Curriculum Completion
Ringwalt, C., Clark, H. K., Hanley, S., Shamblen, S. R., & Flewelling, R. L. (2009) · Prevention Science · doi:10.1007/s11121-009-0163-8 · Cited by 31 · see citing works
Löfholm, C. A., Olsson, T. M., Sundell, K., & Hansson, K. (2009) · Evidence & Policy · doi:10.1332/174426409x478752 · Cited by 30 · see citing works
Imai, K. (2008) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1111/j.1467-9876.2008.00637.x · Cited by 29 · see citing works
Gardner, F. E. M., Mayo‐Wilson, E., Montgomery, P., Hopewell, S., Macdonald, G. M., Moher, D., & Grant, S. (2013) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12106 · Cited by 16 · see citing works
Self-citationBloomquist, M. L., August, G. J., Lee, S. S., Lee, C.-Y. S., Realmuto, G. M., & Klimes-Dougan, B. (2013) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2012.11.001 · Cited by 14 · see citing works
(2002) · JAMA · doi:10.1001/jama.288.15.1 · Cited by 10 · see citing works
Messages associated with the Olympics are far from ideals
Daube, M. (2012) · BMJ · doi:10.1136/bmj.e4662 · Cited by 8 · see citing works
Flagged first, then by citations
Research works printed but not linked: 6
- Boruch, R. F. (Ed). (2005). Place randomized trials: Special issue. Annals of the American Academy of Political and Social Sciences, 599, whole issue.
- Greene, W. H. (1993). Econometric analysis. New York: MacMillan.
- Schochet, P. Z. (2007). Guidelines for multiple testing in experimental evaluations of educational interventions. Princeton: Mathematica Policy Research, Inc.
- Trochim, W. (2000). The research methods knowledge base (2nd ed.). Cincinnati: Atomic Dog Publishing.
- Wagenaar, A. C., & Komro, K. A. (2013). Natural experiments: Research design elements for optimal causal inference without randomization. In A. C. Wagenaar & S. C. Burris (Eds.), Public health law research: Theory and methods (pp. 307–324). Somerset: Wiley.
- Winokur Early, K., Hand, G., Blankenship, J., & Chapman, S. (2012). Redirection continues to save money and reduce recidivism. Tallahassee: Justice Research Center.
Cited by
Sorted by citations
O. B. O. T. C.-S. G., Grant, S., Mayo-Wilson, E., Montgomery, P., Macdonald, G., Michie, S., Hopewell, S., & Moher, D. (2018) · Trials · doi:10.1186/s13063-018-2735-z · Cited by 348 · see citing works
Use caution when applying behavioural science to policy
IJzerman, H., Lewis, N. A., Przybylski, A. K., Weinstein, N., DeBruine, L., Ritchie, S. J., Vazire, S., Forscher, P. S., Morey, R. D., Ivory, J. D., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00990-w · Cited by 262 · see citing works
Grant, S., Colaiaco, B., Motala, A., Shanman, R., Booth, M., Sorbero, M., & Hempel, S. (2017) · Journal of Addiction Medicine · doi:10.1097/adm.0000000000000338 · Cited by 220 · see citing works
Studying program implementation is not easy but it is essential
Durlak, J. A. (2015) · Prevention Science · doi:10.1007/s11121-015-0606-3 · Cited by 191 · see citing works
Evidence for Social and Emotional Learning in Schools
Greenberg, M. T. (2023) · doi:10.54300/928.269 · Cited by 179 · see citing works
Conley, C. S., Shapiro, J. B., Kirsch, A. C., & Durlak, J. A. (2017) · Journal of Counseling Psychology · doi:10.1037/cou0000190 · Cited by 159 · see citing works
Bottiani, J. H., Larson, K. E., Debnam, K. J., Bischoff, C. M., & Bradshaw, C. P. (2018) · Journal of Teacher Education · doi:10.1177/0022487117722553 · Cited by 158 · see citing works
Effects of school resource officers on school crime and responses to school crime
Gottfredson, D. C., Crosse, S., Tang, Z., Bauer, E. L., Harmon, M. A., Hagen, C. A., & Greene, A. D. (2020) · Criminology & Public Policy · doi:10.1111/1745-9133.12512 · Cited by 131 · see citing works
Self-citationUmaña-Taylor, A. J., Douglass, S., Updegraff, K. A., & Marsiglia, F. F. (2018) · Child Development · doi:10.1111/cdev.12755 · Cited by 130 · see citing works
KiVa Anti-Bullying Program in Italy: Evidence of Effectiveness in a Randomized Control Trial
Nocentini, A., & Menesini, E. (2016) · Prevention Science · doi:10.1007/s11121-016-0690-z · Cited by 123 · see citing works
Newton, N. C., Champion, K. E., Slade, T., Chapman, C., Stapinski, L., Koning, I., Tonks, Z., & Teesson, M. (2017) · Drug and Alcohol Review · doi:10.1111/dar.12497 · Cited by 111 · see citing works
Conley, C. S., Durlak, J. A., Shapiro, J. B., Kirsch, A. C., & Zahniser, E. (2016) · Prevention Science · doi:10.1007/s11121-016-0662-3 · Cited by 110 · see citing works
Allen, J., Wexler, L., & Rasmus, S. (2022) · Prevention Science · doi:10.1007/s11121-021-01265-0 · Cited by 93 · see citing works
Karin, E., Dear, B. F., Heller, G. Z., Gandy, M., & Titov, N. (2018) · JMIR Mental Health · doi:10.2196/10200 · Cited by 69 · see citing works
A translational neuroscience perspective on mindfulness meditation as a prevention strategy
Tang, Y.-Y., & Leve, L. D. (2016) · Translational Behavioral Medicine · doi:10.1007/s13142-015-0360-x · Cited by 63 · see citing works
Aadland, K. N., Ommundsen, Y., Anderssen, S. A., Brønnick, K. S., Moe, V. F., Resaland, G. K., Skrede, T., Stavnsbo, M., & Aadland, E. (2019) · Scandinavian Journal of Educational Research · doi:10.1080/00313831.2017.1336477 · Cited by 44 · see citing works
Ariel, B., Sutherland, A., & Sherman, L. W. (2019) · Journal of Experimental Criminology · doi:10.1007/s11292-018-9344-4 · Cited by 38 · see citing works
Whitesell, N. R., Sarche, M., Keane, E., Mousseau, A. C., & Kaufman, C. E. (2018) · American Journal of Evaluation · doi:10.1177/1098214017726872 · Cited by 37 · see citing works
Promoting learning from null or negative results in prevention science trials
Axford, N., Berry, V., Lloyd, J., Hobbs, T., & Wyatt, K. (2022) · Prevention Science · doi:10.1007/s11121-020-01140-4 · Cited by 34 · see citing works
Haggerty, K. P., Barkan, S. E., Caouette, J. D., Skinner, M. L., & Hanson, K. G. (2023) · Prevention Science · doi:10.1007/s11121-022-01390-4 · Cited by 9 · see citing works
Steeger, C. M., Combs, K. M., Racz, S. J., Brooks-Russell, A., Lain, M. A., Drewelow, K., Zaugg, S., Denker, H. K., & Hill, K. G. (2026) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2026.02.024
- Authors
- Gottfredson, D. C., Cook, T. D., Gardner, F. E. M., Gorman-Smith, D., Howe, G. W., Sandler, I. N., & Zafft, K. M.
- Affiliations
- University of Maryland, College Park (US)
- Northwestern University (US)
- University of Oxford (GB)
- George Washington University (US)
- Arizona State University (US)
- Corresponding author
- Gottfredson, Denise C.
- Venue
- Prevention Science
- Published
- 2015-04-07
- Volume
- 16
- Issue
- 7
- Pages
- 893-926
- ISSN
- 1389-4986 (ISSN-L)
- 1573-6695
- PMC
- PMC4579256
- OpenAlex
- W2029591572
- Cited by
- 627
- References
- 110
- Citations by year
- 2026: 34 · 2025: 52 · 2024: 44 · 2023: 51 · 2022: 62 · 2021: 76 · 2020: 69 · 2019: 63 · 2018: 60 · 2017: 60 · 2016: 43 · 2015: 13
- FWCI
- 107.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Prevention Science (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Education
- Substance Abuse and Mental Health Services Administration
- Office of Justice Programs
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- evidence standards, prevention interventions, efficacy, effectiveness, evidence-based practice
- MeSH terms
- Preventive Health Services, Research, Efficiency, Organizational, Evidence-Based Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review