Fuzzy-Set Qualitative Comparative Analysis (fsQCA) in Organizational Psychology: Theoretical Overview, Research Guidelines, and A Step-By-Step Tutorial Using R Software
Span. j. psychol
; 26: e21, 2023. tab, graf
Artigo
em Inglês
| IBECS
| ID: ibc-224053
Biblioteca responsável:
ES1.1
Localização: ES15.1 - BNCS
ABSTRACT
Fuzzy set qualitative comparative analysis (fsQCA) is a method for assessing the effects of configurations of variables leading to an outcome. The recent growth of interest in this technique in organizational psychology is proving this method to be an important tool for addressing new and decisive research hypotheses. However, the effectiveness of fsQCA is dictated not only by its general principles, but also by how well these are understood and applied in the research community. Consequently, a guide that covers the fundamental ideas and tenets of the approach is required to aid the research community in its comprehension and practical application. The current study seeks to offer an understanding of FsQCA by providing (a) A complete description of the method highlighting some of the most important theoretical-methodological aspects; (b) a perspective on the most used guidelines and recommendations, and (c) step-by-step instructions on how to carry out FsQCA in R using the QCA package. Data from 120 employees and supervisors derived from a company based in central Italy were used o best to illustrate how to carry out fsQCA. Codes for conducting the analyses from the QCA package for R accompany the tutorial and can be adapted to a new dataset. (AU)
Texto completo:
Disponível
Coleções:
Bases de dados nacionais
/
Espanha
Base de dados:
IBECS
Assunto principal:
Psicologia Industrial
/
Lógica Fuzzy
Limite:
Humanos
País/Região como assunto:
Europa
Idioma:
Inglês
Revista:
Span. j. psychol
Ano de publicação:
2023
Tipo de documento:
Artigo
Instituição/País de afiliação:
Università degli Studi di Firenze/Italy