Meaningful change definitions
| Autor: | Gjalt-Jorn Peters, Stefan L. K. Gruijters |
|---|---|
| Přispěvatelé: | Section Applied Social Psychology, RS: FPN WSP II, Section General Psychology, RS-Research Line General psychology (part of IIESB program), Section Methodology & Statistics, RS-Research Line Methodology & statistics (part of IIESB program) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
meaningful change definitions
Operations research ACCURACY Psychological intervention bepress|Social and Behavioral Sciences|Psychology|Quantitative Psychology Plan (drawing) Effect size PsyArXiv|Social and Behavioral Sciences|Health Psychology 03 medical and health sciences 0302 clinical medicine STATISTICAL POWER practical significance PSYCHOLOGICAL-RESEARCH smallest effect size of interest Humans 030212 general & internal medicine Study planning Applied Psychology intervention research HEALTH-STATUS 030505 public health Data Collection sample size planning Public Health Environmental and Occupational Health General Medicine General Chemistry DIFFERENCE Test (assessment) PsyArXiv|Social and Behavioral Sciences Intervention (law) bepress|Social and Behavioral Sciences|Psychology|Health Psychology Sample size determination Research Design Sample Size Intervention research bepress|Social and Behavioral Sciences A priori and a posteriori PsyArXiv|Social and Behavioral Sciences|Quantitative Methods DISPLAY 0305 other medical science Psychology PARAMETER-ESTIMATION |
| Zdroj: | Psychology & Health, 37(1), 1-16. Routledge/Taylor & Francis Group Gruijters, S L K & Peters, G J 2022, ' Meaningful change definitions : Sample size planning for experimental intervention research ', Psychology & Health, vol. 37, no. 1, pp. 1-16 . https://doi.org/10.1080/08870446.2020.1841762 Psychology & Health, 37(1), 1-16. TAYLOR & FRANCIS LTD |
| ISSN: | 0887-0446 |
| DOI: | 10.1080/08870446.2020.1841762 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |