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Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies

Research article (Advances in Methods and Practices in Psychological Science, 2021) · cited 141× · AI/ML
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Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies

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Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies is a scholarly article[1].

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  • Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies. Retrieved May 24, 2026, from https://4ort.xyz/entity/selection-of-the-number-of-participants-in-intensive-longitudinal-studies-a-user-friendly-shiny-app-and-tutorial-for-per
MLA “Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/selection-of-the-number-of-participants-in-intensive-longitudinal-studies-a-user-friendly-shiny-app-and-tutorial-for-per.
BibTeX @misc{4ortxyz_selection-of-the-number-of-participants-in-intensive-longitudinal-studies-a-user-friendly-shiny-app-and-tutorial-for-per_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies}}, year = {2026}, url = {https://4ort.xyz/entity/selection-of-the-number-of-participants-in-intensive-longitudinal-studies-a-user-friendly-shiny-app-and-tutorial-for-per}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Temporal Dependencies — https://4ort.xyz/entity/selection-of-the-number-of-participants-in-intensive-longitudinal-studies-a-user-friendly-shiny-app-and-tutorial-for-per (retrieved 2026-05-24)

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