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• W1984734281 startingPage "e22" @default.
• W1984734281 abstract "Technology-based interventions to promote health are expanding rapidly. Assessing the preliminary efficacy of these interventions can be achieved by employing single-case experiments (sometimes referred to as n-of-1 studies). Although single-case experiments are often misunderstood, they offer excellent solutions to address the challenges associated with testing new technology-based interventions. This paper provides an introduction to single-case techniques and highlights advances in developing and evaluating single-case experiments, which help ensure that treatment outcomes are reliable, replicable, and generalizable. These advances include quality control standards, heuristics to guide visual analysis of time-series data, effect size calculations, and statistical analyses. They also include experimental designs to isolate the active elements in a treatment package and to assess the mechanisms of behavior change. The paper concludes with a discussion of issues related to the generality of findings derived from single-case research and how generality can be established through replication and through analysis of behavioral mechanisms." @default.
• W1984734281 created "2016-06-24" @default.
• W1984734281 creator A5004332083 @default.
• W1984734281 creator A5037218616 @default.
• W1984734281 creator A5080778481 @default.
• W1984734281 date "2013-02-08" @default.
• W1984734281 modified "2023-10-01" @default.
• W1984734281 title "Single-Case Experimental Designs to Evaluate Novel Technology-Based Health Interventions" @default.
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• W1984734281 doi "https://doi.org/10.2196/jmir.2227" @default.
• W1984734281 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3636286" @default.
• W1984734281 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23399668" @default.
• W1984734281 hasPublicationYear "2013" @default.
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