Literature DB >> 26358925

Computing tools for implementing standards for single-case designs.

Li-Ting Chen1, Chao-Ying Joanne Peng2, Ming-E Chen2.   

Abstract

In the single-case design (SCD) literature, five sets of standards have been formulated and distinguished: design standards, assessment standards, analysis standards, reporting standards, and research synthesis standards. This article reviews computing tools that can assist researchers and practitioners in meeting the analysis standards recommended by the What Works Clearinghouse: Procedures and Standards Handbook-the WWC standards. These tools consist of specialized web-based calculators or downloadable software for SCD data, and algorithms or programs written in Excel, SAS procedures, SPSS commands/Macros, or the R programming language. We aligned these tools with the WWC standards and evaluated them for accuracy and treatment of missing data, using two published data sets. All tools were tested to be accurate. When missing data were present, most tools either gave an error message or conducted analysis based on the available data. Only one program used a single imputation method. This article concludes with suggestions for an inclusive computing tool or environment, additional research on the treatment of missing data, and reasonable and flexible interpretations of the WWC standards.
© The Author(s) 2015.

Entities:  

Keywords:  WWC; computing; effect; intervention; single-case design; software; standards

Mesh:

Year:  2015        PMID: 26358925     DOI: 10.1177/0145445515603706

Source DB:  PubMed          Journal:  Behav Modif        ISSN: 0145-4455


  4 in total

1.  Application of N-of-1 Experiments to Test the Efficacy of Inactivity Alert Features in Fitness Trackers to Increase Breaks from Sitting in Older Adults.

Authors:  Dori E Rosenberg; Elyse Kadokura; Margaret E Morris; Anne Renz; Roger M Vilardaga
Journal:  Methods Inf Med       Date:  2017-08-16       Impact factor: 2.176

2.  The randomized marker method for single-case randomization tests: Handling data missing at random and data missing not at random.

Authors:  Tamal Kumar De; Patrick Onghena
Journal:  Behav Res Methods       Date:  2022-02-07

3.  A Priori Justification for Effect Measures in Single-Case Experimental Designs.

Authors:  Rumen Manolov; Mariola Moeyaert; Joelle E Fingerhut
Journal:  Perspect Behav Sci       Date:  2021-03-25

4.  Dealing with missing data by EM in single-case studies.

Authors:  Li-Ting Chen; Yanan Feng; Po-Ju Wu; Chao-Ying Joanne Peng
Journal:  Behav Res Methods       Date:  2020-02
  4 in total

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