Calculating power for multilevel implementation trials in mental health: Meaningful effect sizes, intraclass correlation coefficients, and proportions of variance explained by covariates.

Detalles Bibliográficos
Publicado en:Implementation Research & Practice Vol. 5; pp. 1 - 21
Autores principales: Williams, Nathaniel J., Cardamone, Nicholas C., Beidas, Rinad S., Marcus, Steven C.
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. Jan-Dec2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan-Dec2024
      vid: 5
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: Calculating power for multilevel implementation trials in mental health: Meaningful effect sizes, intraclass correlation coefficients, and proportions of variance explained by covariates.
      aug:
        au:
          Williams, Nathaniel J.
          Cardamone, Nicholas C.
          Beidas, Rinad S.
          Marcus, Steven C.
        affil: Institute for the Study of Behavioral Health and Addiction, 1791Boise State University, Boise, ID, USA
      sug:
        subj:
          Implementation Science
          Randomized Controlled Trials
          Mental Health
          Reference Values
          Outcomes Research
          Repeated Measures
          Medical Practice, Evidence-Based
          Human
          Secondary Analysis
          One-Way Analysis of Variance
          Power Analysis
          Effect Size
          Intraclass Correlation Coefficient
          Variance Analysis
          Study Design
          Methodological Research
          Funding Source
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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