ArticleEvaluation & the health professions2022
A Randomization Permutation Test for Single Subject Mediation.
Article in Evaluation & the health professions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Treatment of Anxiety in Athletes Using Cognitive Behavioral Therapy: A Single-Case Experimental Design with Multiple Baselines.Journal for person-oriented research · 2026Article
- How did the Treatment Work for Robin? And for Dylan? Studying Individual Youth Treatment Mediators Using Single-Case Experimental Designs.Clinical child and family psychology review · 2023Review
- Causal mediation effects in single case experimental designs.Psychological methods · 2023Article
- Causal Mediation Analysis in Single Case Experimental Designs: Introduction to the Special Issue.Evaluation & the health professions · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
In response to the importance of individual-level effects, the purpose of this paper is to describe the new randomization permutation (RP) test for a mediation mechanism for a single subject. We extend seminal work on permutation tests for individual-level data by proposing a test for mediation for one person. The method requires random assignment to the levels of the treatment variable at each measurement occasion, and repeated measures of the mediator and outcome from one subject. If several assumptions are met, the process by which a treatment changes an outcome can be statistically evaluated for a single subject, using the permutation mediation test method and the permutation confidence interval method for residuals. A simulation study evaluated the statistical properties of the new method suggesting that at least eight repeated measures are needed to control Type I error rates and larger sample sizes are needed for power approaching .8 even for large effects. The RP mediation test is a promising method for elucidating intraindividual processes of change that may inform personalized medicine and tailoring of process-based treatments for one subject.
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