The DOI matches its Crossref record; 27 of the 29 references it cites were found in a registry or an index.
Moving From the Lab to the Field: The Role of Fidelity and Achieved Relative Intervention Strength
Abstract
As an example of how the effectiveness of well-designed laboratory interventions is often diffused in the field, we examined the effects of a motivation intervention on students' perceptions and learning. The intervention proved to be more effective in the laboratory (g = 0.45) than the field (g = 0.05) in enhancing subsequent motivation. We explored this reduction in treatment effectiveness through a fidelity analysis that examined the extent to which participants responded to the treatment. We calculated fidelity as three indices of achieved relative treatment strength (Cordray & Pion, 2006 Cordray, D. S. . The cause … or the ‘what’ of what works?. Paper presented at the Institute for Education Sciences 2006 Research Conference. Washington, DC. June, [Google Scholar]), and found that, regardless of how fidelity was calculated, achieved relative strength was about 1 standard deviation less in the classroom than the laboratory. In addition, greater levels of achieved relative strength were associated with greater differences in the motivational outcome—indicating that intervention was more effective for participants who actually received the treatment than those who did not. Multilevel analyses indicated that the drop in classroom treatment fidelity was partially because of teacher, rather than student, factors. Implications for theoretical models of change and research are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“field interventions are generally more difficult to implement than interventions under laboratory conditions (Hulleman and Cordray 2009).”
From Transfer of metacognitive skills in self-regulated learning: an experimental training study (2020) · cites this paper as Hulleman and Cordray 2009
Citations
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 18,773
Hierarchical Linear Models: Applications and Data Analysis Methods
Davidian, M. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s288 · Cited by 13,820
(2002) · Cited by 13,211
Statistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Expectancies, values and academic behaviors
Eccles, J. S. (1983) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · Cited by 3,901
(2005) · Cited by 3,748
Dusenbury, L. (2003) · Health Education Research · doi:10.1093/her/18.2.237 · Cited by 1,671
Dane, A. V., & Schneider, B. H. (1998) · Clinical Psychology Review · doi:10.1016/s0272-7358(97)00043-3 · Cited by 1,557 · cited 2×
“The notion of intervention fidelity has been captured under a broad array of labels, such as treatment integrity, adherence, compliance, dose, exposure, quality of delivery, and treatment differentiation (for reviews, see Dane & Schneider, 1998 ; Dusenbury, Brannigan, Falco, & Hansen, 2003 ; Mowbray, Holter, Teague, &…”
BackgroundO’Donnell, C. (2008) · Review of Educational Research · doi:10.3102/0034654307313793 · Cited by 1,037
Fidelity Criteria: Development, Measurement, and Validation
Mowbray, C. T., Holter, M. C., Teague, G. B., & Bybee, D. I. (2003) · American Journal of Evaluation · doi:10.1177/109821400302400303 · Cited by 944
Testing the integrity of a psychotherapy protocol: Assessment of adherence and competence
Waltz, J., Addis, M. E., Koerner, K., & Jacobson, N. S. (1993) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.61.4.620 · Cited by 873
Effect Sizes in Cluster-Randomized Designs
Hedges, L. V. (2007) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998606298043 · Cited by 595
Accounting for No-Shows in Experimental Evaluation Designs
Bloom, H. S. (1984) · Evaluation Review · doi:10.1177/0193841x8400800205 · Cited by 532 · cited 2×
“…approach is often utilized to estimate the effects of an intervention for only those treatment participants who actually received the intervention, that is, complier average causal effect estimation (e.g., Angrist, Imbens, & Rubin, 1996; Bloom, 1984; Jo, Asparouhov, Muthen, Ialongo, & Brown, 2008).”
BackgroundYeaton, W. H., & SECHREST, L. B. (1981) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.49.2.156 · Cited by 501
Task values, achievement goals, and interest: An integrative analysis.
Hulleman, C. S., Durik, A. M., Schweigert, S. A., & Harackiewicz, J. M. (2008) · Journal of Educational Psychology · doi:10.1037/0022-0663.100.2.398 · Cited by 498
Self-citationYeaton, W. H., & SECHREST, L. B. (1981) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.49.2.156 · Cited by 407
Achievement and Achievement Motives: Psychological and Sociological Approaches
Ferguson, E. D., & SPENCE, J. T. (1984) · The American Journal of Psychology · doi:10.2307/1422172 · Cited by 383
Malka, A., & Covington, M. V. (2004) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2004.04.001 · Cited by 133
Sensitivity, bias, and theory in impact evaluations.
Boruch, R. F., & Gomez, H. (1977) · Professional Psychology · doi:10.1037/0735-7028.8.4.411 · Cited by 108
Gottfredson, G. D. (1984) · American Psychologist · doi:10.1037/0003-066x.39.10.1101 · Cited by 108
Simons, J., Dewitte, S., & Lens, W. (2003) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.25.2.145 · Cited by 94
Cluster randomized trials with treatment noncompliance.
Jo, B., Asparouhov, T., Muthén, B. O., Ialongo, N. S., & Brown, C. H. (2008) · Psychological Methods · doi:10.1037/1082-989x.13.1.1 · Cited by 83
Treatment Strength and Integrity: Models and Methods.
Cordray, D. S., & Pion, G. M. (2006) · American Psychological Association eBooks · doi:10.1037/11384-006 · Cited by 74
Self-citationThe Role of Utility Value in the Development of Interest and Achievement.
Hulleman, C. S. (2007) · Cited by 18
Self-citationConstructing Quantitative Implementation Scales From Categorical Services Data
Orwin, R. G., Sonnefeld, L. J., Cordray, D. S., Pion, G. M., & Perl, H. I. (1998) · Evaluation Review · doi:10.1177/0193841x9802200204 · Cited by 12
Self-citationThe scaling of reading interventions: Building multilevel insight
Sloane, F. C. (2005) · Reading Research Quarterly · doi:10.1598/rrq.40.3.4 · Cited by 9
Research works printed but not linked: 7
- Cordray , D. S. . The cause … or the ‘what’ of what works? . Paper presented at the Institute for Education Sciences 2006 Research Conference . Washington, DC. June ,
- Cordray , D. S. and Jacobs , N. . Treatment fidelity and core components in school-based ATOD prevention programs . Paper presented at the annual meeting of the Society for Prevention Research . Washington, DC. June ,
- Hulleman , C. S. , Godes , O. , Hendricks , B. and Harackiewicz , J. M. 2008 . Enhancing interest in math and psychology with a utility value intervention Unpublished manuscript
- Hulleman , C. S. and Harackiewicz , J. M. 2008 . A randomized field trial of expectancy-value motivation in high school science Unpublished manuscript
- Hulleman , C. S. , Hendricks , B. and Harackiewicz , J. M. . The role of utility value in promoting interest and achievement . Paper presented at the American Educational Research Association annual meeting . Chicago. April ,
- Raudenbush , S. W. , Bryk , A. and Congdon , R. 2007 . HLM for Windows: Version 6.04 , Lincolnwood, IL : Scientific Software International .
- 10.1002/pam.10129 · DOI
Cited by
Sorted by citations
Social-Psychological Interventions in Education: They’re Not Magic
Yeager, D. S., & Walton, G. M. (2011) · Review of Educational Research · doi:10.3102/0034654311405999 · Cited by 1,345
Motivation Interventions in Education: A Meta-Analytic Review
Lazowski, R. A., & Hulleman, C. S. (2016) · Review of Educational Research · doi:10.3102/0034654315617832 · Cited by 607
Self-citationWhy Interventions to Influence Adolescent Behavior Often Fail but Could Succeed
Yeager, D. S., Dahl, R. E., & Dweck, C. S. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617722620 · Cited by 512
Improving Student Outcomes in Higher Education: The Science of Targeted Intervention
Harackiewicz, J. M., & Priniski, S. J. (2018) · Annual Review of Psychology · doi:10.1146/annurev-psych-122216-011725 · Cited by 429
Making connections: Replicating and extending the utility value intervention in the classroom.
Hulleman, C. S., Kosovich, J. J., Barron, K. E., & Daniel, D. B. (2016) · Journal of Educational Psychology · doi:10.1037/edu0000146 · Cited by 396
Self-citation
Metadata
- Authors
- Hulleman, C. S., & Cordray, D. S.
- Affiliations
- Vanderbilt University (US)
- ORCID
- Hulleman, Chris S.
- Venue
- Journal of Research on Educational Effectiveness
- Publisher
- Informa UK Limited
- Published
- 2009-01-14
- Volume
- 2
- Issue
- 1
- Pages
- 88-110
- ISSN
- 1934-5739 (ISSN-L)
- 1934-5747
- OpenAlex
- W2088086259
- Cited by
- 291
- References
- 29
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 10 · 2023: 15 · 2022: 17 · 2021: 28 · 2020: 25 · 2019: 22 · 2018: 20 · 2017: 24 · 2016: 24 · 2015: 24 · 2014: 21 · 2013: 17 · 2012: 14
- FWCI
- 17.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Research on Educational Effectiveness (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Education › Educational Research and Methods
- Keywords
- intervention fidelity, motivational interventions, student motivation, classroom implementation, teacher factors, multilevel analysis
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.
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