Cited by 114Behavioral and Psychological StudiesMeta-analysis and systematic reviewsStatistical Methods and Bayesian Inference

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Comparing Visual and Statistical Analysis in Single-Case Studies Using Published Studies

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Harrington, Magadalena, Velicer, Wayne F.·2015·Multivariate Behavioral Research

DOI 10.1080/00273171.2014.973989PMC PMC4677800

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Abstract

Little is known about the extent to which interrupted time series analysis (ITSA) can be applied to short, single-case study designs and whether those applications produce results consistent with visual analysis (VA). This article examines the extent to which ITSA can be applied to single-case study designs and compares the results based on two methods: ITSA and VA, using papers published in the Journal of Applied Behavior Analysis in 2010. The study was made possible by the development of software called UnGraph®, which facilitates the recovery of raw data from the graphs. ITSA was successfully applied to 94% of the examined graphs with the number of observations ranging from 8 to 136. Moderate to high lag-1 autocorrelations (>.50) were found for 46% of the data series. Effect sizes similar to group-level Cohen's d were identified based on the tertile distribution. Effects ranging from 0.00 to 0.99 were classified as small, those ranging from 1.00 to 2.49 as medium, and large effect sizes were defined as 2.50 or greater. Comparison of the conclusions from VA and ITSA had a low level of agreement (Kappa =.14, accounting for the agreement expected by chance). The results demonstrate that ITSA can be broadly implemented in applied behavior analysis research. These two methods should be viewed as complementary and used concurrently.

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Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
Single Case Experimental Designs: Strategies for Studying Behavior Change
Barlow, D. H., Nock, M. K., & Hersen, M. (1976) · Cited by 3,036
Single-Case Research Designs: Methods for Clinical and Applied Settings
Kazdin, A. E. (1982) · Cited by 2,852
Single-case research designs: Methods for clinical and applied settings
Hayes, S. C. (1983) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/0005-7916(83)90018-6 · Cited by 2,677
A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever
Molenaar, P. C. M. (2004) · Measurement: Interdisciplinary Research & Perspective · doi:10.1207/s15366359mea0204_1 · Cited by 1,943
Combining nonoverlap and trend for single-case research: Tau-U
Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011) · Behavior Therapy · doi:10.1016/j.beth.2010.08.006 · Cited by 1,468
Single case experimental designs: Strategieṡ for studying behavior change
Matson, J. L. (1985) · Applied Research in Mental Retardation · doi:10.1016/0270-3092(85)90012-8 · Cited by 1,191
The new person-specific paradigm in psychology
Molenaar, P. C. M., & Campbell, C. G. (2009) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2009.01619.x · Cited by 1,088
IV.—On Least Squares and Linear Combination of Observations
Aitken, A. C. (1936) · Proceedings of the Royal Society of Edinburgh · doi:10.1017/s0370164600014346 · Cited by 950
Effect Size in Single-Case Research: A Review of Nine Nonoverlap Techniques
Parker, R. I., Vannest, K. J., & Davis, J. L. (2011) · Behavior Modification · doi:10.1177/0145445511399147 · Cited by 841
Contemporary Psychometrics
Maydeu‐Olivares, A., & McArdle, J. J. (2005) · Psychology Press eBooks · doi:10.4324/9781410612977 · Cited by 828
Single-case experimental designs: a systematic review of published research and current standards
Smith, J. D. (2012) · Psychological Methods · doi:10.1037/a0029312 · Cited by 630 · cited 3×
“This journal was selected because it is a leading journal on the topic used by applied researchers, and it strongly promotes the use of VA rather than quantitative analysis methods (Shadish & Sullivan, 2011; Smith, 2012).”
Design and Analysis of Time-Series Experiments.
Newbold, P., Glass, G. V., Willson, V. L., & Gottman, J. M. (1976) · Journal of the American Statistical Association · doi:10.2307/2285785 · Cited by 595
Enhancing the scientific credibility of single-case intervention research: Randomization to the rescue.
Kratochwill, T. R., & Levin, J. R. (2010) · Psychological Methods · doi:10.1037/a0017736 · Cited by 497
The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi‐Experiments, and Single‐Case Studies
Huitema, B. E. (2011) · Wiley Series in Probability and Statistics · doi:10.1002/9781118067475 · Cited by 464
Characteristics of single-case designs used to assess intervention effects in 2008
Shadish, W. R., & Sullivan, K. J. (2011) · Behavior Research Methods · doi:10.3758/s13428-011-0111-y · Cited by 367
A standardized mean difference effect size for single case designs
Hedges, L. V., Pustejovsky, J. E., & Shadish, W. R. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1052 · Cited by 308
The Analysis and Presentation of Graphic Data
Parsonson, B. S., & Baer, D. M. (1978) · Elsevier eBooks · doi:10.1016/b978-0-12-425850-1.50009-0 · Cited by 306
“PERHAPS IT WOULD BE BETTER NOT TO KNOW EVERYTHING”1
Baer, D. M. (1977) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1977.10-167 · Cited by 279
EFFECTS OF TREATMENT INTEGRITY FAILURES DURING DIFFERENTIAL REINFORCEMENT OF ALTERNATIVE BEHAVIOR: A TRANSLATIONAL MODEL
Peter, C. C. S., Vollmer, T. R., & Sloman, K. N. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-47 · Cited by 266
INCONSISTENT VISUAL ANALYSES OF INTRASUBJECT DATA
DeProspero, A., & Cohen, S. (1979) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1979.12-573 · Cited by 260
Interrupted time-series analysis with brief single-subject data.
Crosbie, J. (1993) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.61.6.966 · Cited by 248
On the implications of the classical ergodic theorems: Analysis of developmental processes has to focus on intra-individual variation
Molenaar, P. C. M. (2008) · Developmental Psychobiology · doi:10.1002/dev.20262 · Cited by 237
VISUAL ANALYSIS OF SINGLE‐CASE TIME SERIES: EFFECTS OF VARIABILITY, SERIAL DEPENDENCE, AND MAGNITUDE OF INTERVENTION EFFECTS
Matyas, T. A., & Greenwood, K. M. (1990) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1990.23-341 · Cited by 222
Multilevel Meta-analysis: a comparison with traditional meta-analytical procedures
Van Den Noortgate, W., & Onghena, P. (2003) · Educational and Psychological Measurement · doi:10.1177/0013164403251027 · Cited by 218
The Relationship Between Visual Analysis and Five Statistical Analyses in a Simple AB Single-Case Research Design
Brossart, D. F., Parker, R. I., Olson, E. A., & Mahadevan, L. (2006) · Behavior Modification · doi:10.1177/0145445503261167 · Cited by 217
AN INVESTIGATION OF DIFFERENTIAL REINFORCEMENT OF ALTERNATIVE BEHAVIOR WITHOUT EXTINCTION
Athens, E. S., & Vollmer, T. R. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-569 · Cited by 212
Combining single-case experimental data using hierarchical linear models.
Noortgate, W. V. D., & Onghena, P. (2003) · School Psychology Quarterly · doi:10.1521/scpq.18.3.325.22577 · Cited by 195
A multilevel meta-analysis of single-subject experimental design studies
Van den Noortgate, W., & Onghena, P. (2008) · Evidence-Based Communication Assessment and Intervention · doi:10.1080/17489530802505362 · Cited by 192
Hierarchical linear models for the quantitative integration of effect sizes in single-case research
Noortgate, W. V. D., & Onghena, P. (2003) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195492 · Cited by 190
TIME‐SERIES ANALYSIS IN OPERANT RESEARCH1
Jones, R. R., Vaught, R. S., & Weinrott, M. R. (1977) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1977.10-151 · Cited by 187
EFFECTS OF SERIAL DEPENDENCY ON THE AGREEMENT BETWEEN VISUAL AND STATISTICAL INFERENCE1
Jones, R. R., Weinrott, M. R., & Vaught, R. S. (1978) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1978.11-277 · Cited by 186
The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
Huitema, B. E. (2011) · Cited by 183
Cross-sectional time-series experiments: Some suggested statistical analyses.
Simonton, D. K. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.3.489 · Cited by 164
First‐order integer valued AR processes with zero inflated poisson innovations
Jazi, M. A., Jones, G., & Lai, C. (2012) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.2012.00809.x · Cited by 158
A generalized least squares regression approach for computing effect sizes in single-case research: Application examples
Maggin, D. M., Swaminathan, H., Rogers, H. J., O’Keeffe, B. V., Sugai, G. M., & Horner, R. H. (2011) · Journal of School Psychology · doi:10.1016/j.jsp.2011.03.004 · Cited by 138
EFFECTS OF VIDEO MODELING ON TREATMENT INTEGRITY OF BEHAVIORAL INTERVENTIONS
Reed, F. D. D., Codding, R. S., Catania, C. N., & Maguire, H. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-291 · Cited by 114
Computational Ergodic Theory
Choe, G. H. (2005) · Springer eBooks · doi:10.1007/b138894 · Cited by 97
INCREASING THE VOCAL RESPONSES OF CHILDREN WITH AUTISM AND DEVELOPMENTAL DISABILITIES USING MANUAL SIGN MAND TRAINING AND PROMPT DELAY
Carbone, V. J., Sweeney‐Kerwin, E. J., Attanasio, V., & Kasper, T. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-705 · Cited by 92
Telemetric monitoring in the behavior sciences
Goodwin, M. S., Velicer, W. F., & Intille, S. S. (2008) · Behavior Research Methods · doi:10.3758/brm.40.1.328 · Cited by 91
Self-citation
Comparing N = 1 Effect Size Indices in Presence of Autocorrelation
Manolov, R., & Solanas, A. (2008) · Behavior Modification · doi:10.1177/0145445508318866 · Cited by 88
Using UnGraph to extract data from image files: Verification of reliability and validity
Shadish, W. R., Brasil, I. C. C., Illingworth, D. A., White, K. D., Galindo, R. J., Nagler, E. D., & Rindskopf, D. M. (2009) · Behavior Research Methods · doi:10.3758/brm.41.1.177 · Cited by 87
The Aggregation of single-case results using hierarchical linear models
Van den Noortgate, W., & Onghena, P. (2007) · The Behavior Analyst Today · doi:10.1037/h0100613 · Cited by 86
BEHAVIIORAL COACHING TO IMPROVE OFFENSIVE LINE PASS‐BLOCKING SKILLS OF HIGH SCHOOL FOOTBALL ATHLETES
Stokes, J. V., Luiselli, J. K., Reed, D. D., & Fleming, R. K. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-463 · Cited by 85
THE EFFECTS OF VARIABLE‐TIME DELIVERY OF FOOD ITEMS AND PRAISE ON PROBLEM BEHAVIOR REINFORCED BY ESCAPE
Mevers, J. L., Fisher, W. W., & Kelley, M. E. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-425 · Cited by 78
Visual inspection of single-subject data: an empirical analysis.
Ottenbacher, K. J. (1990) · PubMed · Cited by 78
Irrelevant autocorrelation in least-squares intervention models.
Huitema, B. E., & McKean, J. W. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.1.104 · Cited by 76
INTERNET‐BASED CONTINGENCY MANAGEMENT TO IMPROVE ADHERENCE WITH BLOOD GLUCOSE TESTING RECOMMENDATIONS FOR TEENS WITH TYPE 1 DIABETES
Raiff, B. R., & Dallery, J. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-487 · Cited by 75
A Comparison of Alternative Approaches to the Analysis of Interrupted Time-Series
Harrop, J. W., & Velicer, W. F. (1985) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2001_2 · Cited by 73
Self-citation
ASSESSMENT AND TREATMENT OF ELOPEMENT MAINTAINED BY ACCESS TO STEREOTYPY
Falcomata, T. S., Roane, H. S., Feeney, B. J., & Stephenson, K. M. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-513 · Cited by 70
DISCRIMINATED FUNCTIONAL COMMUNICATION: A PROCEDURAL EXTENSION OF FUNCTIONAL COMMUNICATION TRAINING
Kuhn, D. E., Chirighin, A. E., & Zelenka, K. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-249 · Cited by 69
The Reliability and Accuracy of Time Series Model Identification
Velicer, W. F., & Harrop, J. W. (1983) · Evaluation Review · doi:10.1177/0193841x8300700408 · Cited by 66
Self-citation
TEACHING EARLY BRAILLE LITERACY SKILLS WITHIN A STIMULUS EQUIVALENCE PARADIGM TO CHILDREN WITH DEGENERATIVE VISUAL IMPAIRMENTS
Toussaint, K. A., & Tiger, J. H. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-181 · Cited by 65
USING COMPLEX AUDITORY—VISUAL SAMPLES TO PRODUCE EMERGENT RELATIONS IN CHILDREN WITH AUTISM
Groskreutz, N. C., Karsina, A., Miguel, C. F., & Groskreutz, M. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-131 · Cited by 64
When the Truth Hits You Between the Eyes
Bulté, I., & Onghena, P. (2011) · Methodology · doi:10.1027/1614-2241/a000042 · Cited by 55
A COMPARISON OF THE EFFECTS OF PROVIDING ACTIVITY AND MATERIAL CHOICE TO CHILDREN WITH AUTISM SPECTRUM DISORDERS
Ülke-Kürkçüoğlu, B., & Kırcaali-İftar, G. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-717 · Cited by 52
ON THE RELATION BETWEEN REINFORCER EFFICACY AND PREFERENCE
Lee, M. S. H., Yu, C. T., Martin, T. L., & Martin, G. L. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-95 · Cited by 52
A SIMPLE AND POWERFUL TEST FOR AUTOCORRELATED ERRORS IN OLS INTERVENTION MODELS
Huitema, B. E., & McKean, J. W. (2000) · Psychological Reports · doi:10.2466/pr0.2000.87.1.3 · Cited by 48
FUNCTIONAL ANALYSIS AND TREATMENT OF AGGRESSION MAINTAINED BY PREFERRED CONVERSATIONAL TOPICS
Roscoe, E. M., Kindle, A. E., & Pence, S. T. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-723 · Cited by 44
Times Series Analysis Without Model Identification
Velicer, W. F., & McDonald, R. P. (1984) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr1901_2 · Cited by 42
Self-citation
A COMPARISON OF VARIOUS FORMS OF REINFORCEMENT WITH AND WITHOUT EXTINCTION AS TREATMENT FOR ESCAPE‐MAINTAINED PROBLEM BEHAVIOR
Carter, S. L. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-543 · Cited by 38
ANALYSIS OF DATA IN IDIOGRAPHIC RESEARCH
Ottenbacher, K. J. (1992) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/00002060-199208000-00002 · Cited by 38
Inferential Precision in Single-Case Time-Series Data Streams: How Well Does the EM Procedure Perform When Missing Observations Occur in Autocorrelated Data?
Smith, J. D., Borckardt, J. J., & Nash, M. R. (2011) · Behavior Therapy · doi:10.1016/j.beth.2011.10.001 · Cited by 35
A BEHAVIORAL INTERVENTION FOR TEACHING TACKLING SKILLS TO HIGH SCHOOL FOOTBALL ATHLETES
Stokes, J. V., Luiselli, J. K., & Reed, D. D. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-509 · Cited by 33
EVALUATION OF COMBINED‐ANTECEDENT VARIABLES ON FUNCTIONAL ANALYSIS RESULTS AND TREATMENT OF PROBLEM BEHAVIOR IN A SCHOOL SETTING
Dolezal, D. N., & Kurtz, P. F. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-309 · Cited by 33
USE OF PEER‐MEDIATED INTERVENTION IN CHILDREN WITH ATTENTION DEFICIT HYPERACTIVITY DISORDER
MacAleese, A. N., & Wallace, M. D. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-547 · Cited by 31
Consequences of the Ergodic Theorems for Classical Test Theory, factor Analysis, and the Analysis of Developmental Processes
Molenaar, P. C. M. (2008) · Sage eBooks · doi:10.4135/9781412976589.n5 · Cited by 29
FURTHER EVALUATION OF ANTECEDENT INTERVENTIONS ON COMPLIANCE: THE EFFECTS OF RATIONALES TO INCREASE COMPLIANCE AMONG PRESCHOOLERS
Wilder, D. A., Allison, J., Nicholson, K., Abellon, O. E., & Saulnier, R. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-601 · Cited by 28
Time Series Analysis
Wu, J. (2012) · Chapman & Hall/CRC eBooks · doi:10.1201/b11639-10 · Cited by 27
AN EVALUATION OF ADVANCE NOTICE TO INCREASE COMPLIANCE AMONG PRESCHOOLERS
Wilder, D. A., Nicholson, K., & Allison, J. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-751 · Cited by 26
FURTHER EXAMINATION OF DISCRIMINATED FUNCTIONAL COMMUNICATION
León, Y., Hausman, N. L., Kahng, S., & Becraft, J. L. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-525 · Cited by 25
The Effect of Autocorrelation on the Results of Visually Analyzing Data From Single-Subject Designs
Bengali, M. K., & Ottenbacher, K. J. (1998) · American Journal of Occupational Therapy · doi:10.5014/ajot.52.8.650 · Cited by 24
INCREASING SEAT BELT USE IN SERVICE VEHICLE DRIVERS WITH A GEARSHIFT DELAY
Houten, R. V., Malenfant, J. E. L., Reagan, I. J., Sifrit, K. J., Compton, R., & Tenenbaum, J. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-369 · Cited by 22
FUNCTIONAL ANALYSIS AND TREATMENT OF THE DELUSIONAL STATEMENTS OF A MAN WITH MULTIPLE DISABILITIES: A FOUR‐YEAR FOLLOW‐UP
Travis, R. W., & Sturmey, P. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-745 · Cited by 21
Time-Series Intervention Analysis Using ITSACORR: Fatal Flaws
Huitema, B. E., McKean, J. W., & Laraway, S. (2007) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1193889780 · Cited by 18
AN EXPERIMENTAL ANALYSIS OF NEGATIVE REINFORCEMENT CONTINGENCIES FOR ADULT‐DELIVERED REPRIMANDS
Miller, J. R., Lerman, D. C., & Fritz, J. N. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-769 · Cited by 18
THE EFFECTS OF FIXED‐TIME ESCAPE ON INAPPROPRIATE AND APPROPRIATE CLASSROOM BEHAVIOR
Waller, R. D., & Higbee, T. S. (2010) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2010.43-149 · Cited by 17
Computer Programs for Interrupted Time Series Analysis: II A Quantitative Evaluation
Harrop, J. W., & Velicer, W. F. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2502_13 · Cited by 15
Self-citation
Computer Programs for Interrupted Time Series Analysis: I. A Qualitative Evaluation
Harrop, J. W., & Velicer, W. F. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2502_12 · Cited by 6
Self-citation

Research works printed but not linked: 5

Bengali M.K., 1998, Quantitative Research Series, 52, 650
Biosoft, 2004, UnGraph®for Windows
Ottenbacher K.J., 1990, Mental Retardation, 28, 283
Velicer W.F., 2014, Handbook of Relational Developmental Systems Theory and Methodology, 425
Velicer W.F., 2013, Handbook of Psychology: Research Methods in Psychology, 50, 628

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Recommendations for Choosing Single-Case Data Analytical Techniques.
Manolov, R., & Moeyaert, M. (2017) · The Behavior Therapist · doi:10.1016/j.beth.2016.04.008 · Cited by 122
How Can Single-Case Data Be Analyzed? Software Resources, Tutorial, and Reflections on Analysis
Manolov, R., & Moeyaert, M. (2016) · Behavior Modification · doi:10.1177/0145445516664307 · Cited by 91
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Violin plots as visual tools in the meta-analysis of Single-Case Experimental Designs
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Authors: Harrington, M., & Velicer, W. F.
Affiliations: University of Rhode Island (US)
Corresponding author: Velicer, Wayne F.
ORCID: Velicer, Wayne F.
Venue: Multivariate Behavioral Research
Publisher: Informa UK Limited
Published: 2015-03-04
Volume: 50
Issue: 2
Pages: 162-183
ISSN: 0027-3171 (ISSN-L)
1532-7906
DOI: 10.1080/00273171.2014.973989
PMC: PMC4677800
OpenAlex: W1969454087
Cited by: 114
References: 80
Citations by year: 2026: 2 · 2025: 7 · 2024: 14 · 2023: 9 · 2022: 18 · 2021: 18 · 2020: 16 · 2019: 6 · 2018: 7 · 2017: 10 · 2016: 6
FWCI: 19.39
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Multivariate Behavioral Research (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Journal of Media Literacy Education (submittedVersion, cc-by)
Funders: National Institute on Drug Abuse (R01DA020112, DA020112)
Topics: Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords: interrupted time series, visual analysis, single-case experimental design, autocorrelation, effect size, applied behavior analysis, measurement agreement
MeSH terms: Humans, Research Design, Reproducibility of Results, Behavioral Research, Interrupted Time Series Analysis

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Comparing Visual and Statistical Analysis in Single-Case Studies Using Published Studies

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