Introduction to the Special Section: Translating Advanced Quantitative Techniques for Single-Case Experimental Design Data
Tóm tắt
The articles in this special section offer strategies to single-case experimental design (SCED) researchers to interpret their outcomes, communicate their results, and compare the results using common, quantitative results. Advancing quantitative methods applied to SCED data will facilitate communication with scientists and other professionals that do not typically interpret graphed data of the dependent variable. Horner and Ferron aptly note that innovative statistical procedures are improving the precision and credibility of SCED research as disseminate our findings to an increasingly diverse audience. This special section promotes the translation of these quantitative methods to encourage their adoption in research using single case experimental designs.
Tài liệu tham khảo
Kratochwill, T. R., & Levin, J. R. (2014). Meta-and statistical analysis of single-case intervention research data: Quantitative gifts and a wish list. Journal of School Psychology, 52(2), 231–235.
Manolov, R., & Moeyaert, M. (2017). How can single-case data be analyzed? Software resources, tutorial, and reflections on analysis. Behavior Modification, 41(2), 179–228.
Onghena, P., Tanious, R., De, T. K., & Michiels, B. (2019). Randomization tests for changing criterion designs. Behaviour Research & Therapy, 117, 18–27.
Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011). Combining nonoverlap and trend for single-case research: Tau-U. Behavior Therapy, 42(2), 284–299.
Pustejovsky, J. E. (2018). Using response ratios for meta-analyzing single-case designs with behavioral outcomes. Journal of School Psychology, 68, 99–112.
Pustejovsky, J. E., Hedges, L. V., & Shadish, W. R. (2014). Design-comparable effect sizes in multiple baseline designs: A general modeling framework. Journal of Educational and Behavioral Statistics, 39(5), 368–393.
Riley-Tillman, T. C., Burns, M. K., & Kilgus, S. P. (2020). Evaluating educational interventions: Single-case design for measuring response to intervention. Guilford Publications.
Shadish, W. R., Hedges, L. V., & Pustejovsky, J. E. (2014). Analysis and meta-analysis of single-case designs with a standardized mean difference statistic: A primer and applications. Journal of School Psychology, 52(2), 123–147.
Tarlow, K. R. (2017). An improved rank correlation effect size statistic for single-case designs: Baseline corrected Tau. Behavior Modification, 41(4), 427–467.
Tate, R. L., Perdices, M., Rosenkoetter, U., Shadish, W., Vohra, S., Barlow, D. H., ... & Wilson, B. (2016). The single-case reporting guideline in behavioural interventions (SCRIBE) 2016 statement. Physical Therapy, 96(7), e1–e10.
Weaver, E. S., & Lloyd, B. P. (2019). Randomization tests for single case designs with rapidly alternating conditions: An analysis of p-values from published experiments. Perspectives on Behavior Science, 42(3), 617–645.