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Analysis and Meta-Analysis of Single-Case Experimental Data: Methodological Innovations and Complexities

Mon, April 12, 9:30 to 11:00am EDT (9:30 to 11:00am EDT), Division D, Division D - Section 2 Structured Poster Session

Session Type: Structured Poster Session

Abstract

This session dissiminates recent methodological innovations and complexities for the quantitative analysis and meta-analysis of SCEDs to applied researchers and methodologists. There is a sustained and increased interest in using single-case experimental designs (SCEDs) to make (causal) inferences about the effectiveness of an intervention. To date, methodologists continue the development of single-case analysis techniques and research on the underlying statistical properties of these techniques. Quantitative analysis, complementary to visual inspection of the SCED data, is intended to provide objective and parsimonious summary measures that can be used for documenting results, communication within the broader research field, and integrating the results in quantitative meta-analyses. These synthesis results can be used to identify evidence-based practices.

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