How to factor-analyze your data right: do’s, don’ts, and how-to’s.
The current article provides a guideline for conducting factor analysis, a technique used to estimate the population-level factor structure underlying the given sample data. First, the distinction between exploratory and confirmatory factor analyses (EFA and CFA) is briefly discussed; along with thi...
Guardado en:
Autor principal: | Masaki Matsunaga |
---|---|
Formato: | article |
Lenguaje: | EN ES |
Publicado: |
Universidad de San Buenaventura
2010
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1c86c7915e354654ab6d189491b92dc5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Testing measurement invariance across groups: applications in cross-cultural research.
por: Taciano L. Milfont, et al.
Publicado: (2010) -
Application of factor analysis in company management – selected examples related to competitiveness and market success
por: Jurczak Jolanta, et al.
Publicado: (2021) -
DEVELOPMENT AND PSYCHOMETRIC PROPERTIES OF ADVERSE CHILDHOOD EXPERIENCES SCALE FOR ADOLESCENTS
por: Maryam Riaz, et al.
Publicado: (2020) -
What motivates stakeholders to engage in collaborative innovation in the infrastructure megaprojects?
por: Xiaoyan Chen, et al.
Publicado: (2021) -
Spatial variability of an Alfisol cultivated with sugarcane
por: Silva Cruz,Joedna, et al.
Publicado: (2011)