Literature DB >> 22478327

Statistical inference in behavior analysis: Useful friend.

J Crosbie.   

Abstract

Single-subject and statistical inference are virtually identical. With both techniques change is inferred when variability across conditions is sufficiently large to accommodate variability within conditions, replication is the final arbiter of whether change is likely to occur by chance, a large effect size is preferred to a small consistent difference, there are similar threats to internal validity, and generalizability of results is valued. Knowing how to use statistical inferential procedures would make behavior analysts more methodologically sophisticated. It would also help them to critically evaluate research in other areas of psychology, obtain research grants, and publish their research in diverse outlets, which would help others to see behavior-analytic work.

Year:  1999        PMID: 22478327      PMCID: PMC2731353          DOI: 10.1007/bf03391987

Source DB:  PubMed          Journal:  Behav Anal        ISSN: 0738-6729


  5 in total

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5.  Interrupted time-series analysis with brief single-subject data.

Authors:  J Crosbie
Journal:  J Consult Clin Psychol       Date:  1993-12
  5 in total
  7 in total

1.  Statistical inference in behavior analysis: Discussant's remarks.

Authors:  R L Shull
Journal:  Behav Anal       Date:  1999

2.  Applying behavior analysis to school violence and discipline problems: Schoolwide positive behavior support.

Authors:  Cynthia M Anderson; Donald Kincaid
Journal:  Behav Anal       Date:  2005

Review 3.  Single-Case Research Methods: History and Suitability for a Psychological Science in Need of Alternatives.

Authors:  Camilo Hurtado-Parrado; Wilson López-López
Journal:  Integr Psychol Behav Sci       Date:  2015-09

4.  Applying the Taxonomy of Validity Threats from Mainstream Research Design to Single-Case Experiments in Applied Behavior Analysis.

Authors:  Anna Ingeborg Petursdottir; James E Carr
Journal:  Behav Anal Pract       Date:  2018-09-20

Review 5.  Behavior-Analytic Approaches to the Management of Diabetes Mellitus: Current Status and Future Directions.

Authors:  Bethany R Raiff; Connor Burrows; Matthew Dwyer
Journal:  Behav Anal Pract       Date:  2020-11-10

6.  Monte Carlo Analyses for Single-Case Experimental Designs: An Untapped Resource for Applied Behavioral Researchers and Practitioners.

Authors:  Jonathan E Friedel; Alison Cox; Ann Galizio; Melissa Swisher; Megan L Small; Sofia Perez
Journal:  Perspect Behav Sci       Date:  2021-11-24

7.  Power of a randomization test in a single case multiple baseline AB design.

Authors:  Samantha Bouwmeester; Joran Jongerling
Journal:  PLoS One       Date:  2020-02-06       Impact factor: 3.240

  7 in total

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