Statistical power in partially nested designs probing multilevel mediation.
Objective: Analysis of the intermediate behaviors and mechanisms through which innovative therapies come to shape outcomes is a critical objective in many areas of psychotherapy research because it supports the iterative exploration, development and refinement of theories and therapies. Despite wide...
| Publicado en: | Psychotherapy Research Vol. 30; no. 8; pp. 1061 - 1075 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Nov2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=145496575&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 145496575 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10503307 10T jtl: Psychotherapy Research issn: 10503307 maglogo: N pubinfo: dt: Nov2020 vid: 30 iid: 8 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 145496575 10.1080/10503307.2020.1717012 ppf: 1061 ppct: 14 formats: tig: atl: Statistical power in partially nested designs probing multilevel mediation. aug: au: Kelcey, Ben Bai, Fangxing Xie, Yanli affil: College of Education, Criminal Justice, Human Services and Information Technology, University of Cincinnati, Cincinnati, OH, USA su: Mediation Statistical power analysis Web-based user interfaces Treatment effectiveness Behavioral assessment sug: subj: Mediation Statistical power analysis Web-based user interfaces Treatment effectiveness Behavioral assessment keyword: mediation partially nested process research statistical methodology mediation partially nested process research statistical methodology ab: Objective: Analysis of the intermediate behaviors and mechanisms through which innovative therapies come to shape outcomes is a critical objective in many areas of psychotherapy research because it supports the iterative exploration, development and refinement of theories and therapies. Despite widespread interest in the intermediate behaviors and mechanisms that convey treatment effects, there is limited guidance on how to effectively and efficiently design studies to detect such mediated effects in the types of partially nested designs that commonly arise in psychotherapy research. In this study, we develop statistical power formulas to identify requisite sample sizes and guide the planning of studies probing mediation under two- and three-level partially nested designs. Method: We investigate multilevel mediation in partially nested structures and models for two- and three-level designs. Results: Well-powered studies probing mediation using partially nested designs will typically require moderate to large sample sizes or moderate to large effects. Discussion: We implement these formulas in the R package PowerUpR and a simple Shiny web application (https://poweruprshiny.shinyapps.io/PartiallyNestedMediationPower/) and demonstrate their use to plan studies using partially nested designs. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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