A standardized mean difference effect size for single case designs

Research Synthesis Methods

Volumn 3, Issue 3, 2012, Pages 224-239

  Hedges, Larry V ^a   Pustejovsky, James E ^a   Shadish, William R ^b  

^a NORTHWESTERN UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

autocorrelation; effect size; hierarchical linear model; single case designs

Indexed keywords

EID: 84881568220     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1052     Document Type: Article

References (25)

1. Adams DC, Gurevitch J, Rosenberg MS. 1997. Resampling tests for meta-analysis of ecological data. Ecology 78: 1277–1283.
2. Allison DB, Gorman BS. 1993. Calculating effect sizes for meta-analysis: The case of the single case. Behav Res Ther 31: 621–631.
3. Anglesea MM, Hooch H, Taylor BA. 2008. Reducing rapid eating in teenagers with autism: Use of a page prompt. J Appl Behav Anal 41: 107–111.
4. Beretvas SN, Chung H. 2008. A review of meta-analyses of single-subject experimental designs: Methodological issues and practice. Evidence-Based Communication Assessment and Intervention 2: 129–141.
5. Borenstein M. 2009. Effect sizes for continuous data, in The Handbook of Research Synthesis and Meta-Analysis Cooper H, Hedges LV, Valentine J. (eds). Russell Sage Foundation, New York, pp 221–235.
6. Box GEP. 1954. Some theorems on quadratic forms applied to the study of analysis of variance problems, I: Effect of inequality of variance in the one-way classification. Annals of Mathematical Statistics 25: 290–302.
7. Cooper H, Hedges LV, Valentine J. 2009. The Handbook of Research Synthesis and Meta-Analysis. Russell Sage Foundation, New York.
8. Fleiss JL, Berlin JA. 2009. Effect sizes for dichotomous data, in The Handbook of Research Synthesis and Meta-Analysis Cooper H, Hedges LV, Valentine J (eds). Russell Sage Foundation, New York, pp 238–253.
9. Hedges LV. 1981. Distribution theory for Glass's estimator of effect size and related estimators. J Educational Statistics 6: 107–128.
10. Hedges LV. 2007a. Effect sizes in cluster randomized designs. J Educational and Behavioral Statistics 32: 341–370.
11. Hedges LV. 2007b. Meta-analysis, in The Handbook of Statistics, Vol. 26, Psychometrics Rao CR, Sinharay S (eds). Amsterdam, pp 919–953. Elsevier.
12. Hedges LV. 2008. What are effect sizes and why do we need them? Developmental Psychology Perspectives 2: 167–171.
13. Hedges LV, Tipton E, Johnson M. 2010. Robust variance estimation for meta-regression with dependent effect size estimators. J Research Synthesis Methods 1: 39–65.
14. Huitema BE, McKean JW. 1991. Autocorrelation estimation and inference with small samples. Psychol Bull 110: 291–304.
15. Kratochwill TR, Hitchcock J, Horner RH, Levin JR, Odom SL, Rindskopf DM, Shadish WR. 2010. Single-case designs technical documentation. Retrieved from What Works Clearinghouse website: http://ies.ed.gov/ncee/wwc/pdf/wwc_scd.pdf
16. Kratochwill TR, Levin JR. 2010. Enhancing the scientific credibility of single-case intervention research: Randomization to the rescue. Psychol Methods 15: 124–144.
17. Lambert MC, Cartledge G, Heward WL, Lo Y. 2006. Effects of response cards on disruptive behavior and academic responding during math lessons by fourth-grade urban students. J Positive Behavior Interventions 8: 88–99.
18. Ma HH. 2006. An alternative method for quantitative synthesis of single-subject design: Percentage of data points exceeding the median. Behav Modif 30: 598–617.
19. Mathai A, Provost S. 1992. Quadratic Forms in Random Variables: Theory and Applications. M. Dekker, New York.
20. Parker RI, Hagan-Burke S, Vannest K. 2007. Percentage of all non-overlapping data (PAND): An alternative to PND. J Special Education 40: 194–204.
21. Shadish WR, Hedges LV, Pustejovsky JE. 2011. An Application of a New d-Estimator for Single-Case Designs. Paper presented at the Annual Conference of the Society for Research Synthesis Methodology, Ottawa, Canada.
22. Shadish WR, Rindskopf DM, Hedges LV. 2008. The state of the science in the meta-analysis of single-case experimental designs. Evidence-Based Communication Assessment and Intervention 2: 188–196.
23. Shadish WR, Sullivan KJ. 2011. Characteristics of single-case designs used to assess intervention effects in 2008. Behavioral Research Methods 43: 971–980.
24. Valentine JC, Cooper H. 2003. Effect Size Substantive Interpretation Guidelines: Issues in the Interpretation of Effect Sizes. Washington, DC: What Works Clearinghouse.
25. Wilkinson L. 1999. Statistical methods in psychology journals: Guidelines and explanations. Am Psychol 54: 594–604.