Meaningful change definitions: sample size planning for experimental intervention research.
Experimental tests of interventions need to have sufficient sample size to constitute a robust test of the intervention's effectiveness with reasonable precision and power. To estimate the required sample size adequately, researchers are required to specify an effect size. But what effect size shoul...
| Published in: | Psychology & Health Vol. 37; no. 1; pp. 1 - 17 |
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| Main Authors: | , |
| Format: | review tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Jan 2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154862832&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154862832 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08870446 7WK jtl: Psychology & Health issn: 08870446 maglogo: N pubinfo: dt: Jan 2022 vid: 37 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 154862832 147086009 154862832 154862832 10.1080/08870446.2020.1841762 154862832 ppf: 1 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Meaningful change definitions: sample size planning for experimental intervention research. aug: au: Gruijters, Stefan L. K. Peters, Gjalt-Jorn Y. affil: Faculty of Psychology, General Psychology, Open University of the Netherlands, Heerlen, the Netherlands sug: subj: Sample Size Effect Size Sample Size Determination Psychology ab: Experimental tests of interventions need to have sufficient sample size to constitute a robust test of the intervention's effectiveness with reasonable precision and power. To estimate the required sample size adequately, researchers are required to specify an effect size. But what effect size should be used to plan the required sample size? Various inroads into selecting the a priori effect size have been suggested in the literature—including using conventions, prior research, and theoretical or practical importance. In this paper, we first discuss problems with some of the proposed methods of selecting the effect size for study planning. We then lay out a method for intervention researchers that provides a way out of many of these problems. The proposed method requires setting a meaningful change definition, it is specifically suited for applied researchers interested in planning tests of intervention effectiveness. We provide a hands-on walk through of the method and provide easy-to-use R functions to implement it. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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