التفاصيل البيبلوغرافية
العنوان: |
Meta-analytic criterion profile analysis. |
المؤلفون: |
Wiernik BM; Department of Psychology., Wilmot MP; Department of Management., Davison ML; Department of Educational Psychology., Ones DS; Department of Psychology. |
المصدر: |
Psychological methods [Psychol Methods] 2020 Jul 30. Date of Electronic Publication: 2020 Jul 30. |
Publication Model: |
Ahead of Print |
نوع المنشور: |
Journal Article |
اللغة: |
English |
بيانات الدورية: |
Publisher: American Psychological Association Country of Publication: United States NLM ID: 9606928 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-1463 (Electronic) Linking ISSN: 1082989X NLM ISO Abbreviation: Psychol Methods Subsets: MEDLINE |
أسماء مطبوعة: |
Original Publication: Washington, DC : American Psychological Association, c1996- |
مستخلص: |
Intraindividual patterns or configurations are intuitive explanations for phenomena, and popular in both lay and research contexts. Criterion profile analysis (CPA; Davison & Davenport, 2002) is a well-established, regression-based pattern matching procedure that identifies a pattern of predictors that optimally relate to a criterion of interest and quantifies the strength of that association. Existing CPA methods require individual-level data, limiting opportunities for reanalysis of published work, including research synthesis via meta-analysis and associated corrections for psychometric artifacts. In this article, we develop methods for meta-analytic criterion profile analysis (MACPA), including new methods for estimating cross-validity and fungibility of criterion patterns. We also review key methodological considerations for applying MACPA, including homogeneity of studies in meta-analyses, corrections for statistical artifacts, and second-order sampling error. Finally, we present example applications of MACPA to published meta-analyses from organizational, educational, personality, and clinical psychological literatures. R code implementing these methods is provided in the configural package, available at https://cran.r-project.org/package=configural and at https://doi.org/10.17605/osf.io/aqmpc. (PsycInfo Database Record (c) 2020 APA, all rights reserved). |
تواريخ الأحداث: |
Date Created: 20200731 Latest Revision: 20240227 |
رمز التحديث: |
20240227 |
DOI: |
10.1037/met0000305 |
PMID: |
32730051 |
قاعدة البيانات: |
MEDLINE |