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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Masaki Matsunaga
Formato:	article
Lenguaje:	EN ES
Publicado:	Universidad de San Buenaventura 2010
Materias:	Confirmatory and Exploratory Factor Analysis LISREL Parallel Analysis Principal Component Analysis SPSS Psychology BF1-990
Acceso en línea:	https://doaj.org/article/1c86c7915e354654ab6d189491b92dc5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1c86c7915e354654ab6d189491b92dc5
record_format	dspace
spelling	oai:doaj.org-article:1c86c7915e354654ab6d189491b92dc52021-11-25T02:24:01ZHow to factor-analyze your data right: do’s, don’ts, and how-to’s.10.21500/20112084.8542011-20842011-7922https://doaj.org/article/1c86c7915e354654ab6d189491b92dc52010-06-01T00:00:00Zhttps://revistas.usb.edu.co/index.php/IJPR/article/view/854https://doaj.org/toc/2011-2084https://doaj.org/toc/2011-7922The 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 this discussion, the notion of principal component analysis and why it does not provide a valid substitute of factor analysis is noted. Second, a step-by-step walk-through of conducting factor analysis is illustrated; through these walk-through instructions, various decisions that need to be made in factor analysis are discussed and recommendations provided. Specifically, suggestions for how to carry out preliminary procedures, EFA, and CFA are provided with SPSS and LISREL syntax examples. Finally, some critical issues concerning the appropriate (and not-so-appropriate) use of factor analysis are discussed along with the discussion of recommended practices.Masaki MatsunagaUniversidad de San BuenaventuraarticleConfirmatory and Exploratory Factor AnalysisLISRELParallel AnalysisPrincipal Component AnalysisSPSSPsychologyBF1-990ENESInternational Journal of Psychological Research, Vol 3, Iss 1 (2010)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	Confirmatory and Exploratory Factor Analysis LISREL Parallel Analysis Principal Component Analysis SPSS Psychology BF1-990
spellingShingle	Confirmatory and Exploratory Factor Analysis LISREL Parallel Analysis Principal Component Analysis SPSS Psychology BF1-990 Masaki Matsunaga How to factor-analyze your data right: do’s, don’ts, and how-to’s.
description	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 this discussion, the notion of principal component analysis and why it does not provide a valid substitute of factor analysis is noted. Second, a step-by-step walk-through of conducting factor analysis is illustrated; through these walk-through instructions, various decisions that need to be made in factor analysis are discussed and recommendations provided. Specifically, suggestions for how to carry out preliminary procedures, EFA, and CFA are provided with SPSS and LISREL syntax examples. Finally, some critical issues concerning the appropriate (and not-so-appropriate) use of factor analysis are discussed along with the discussion of recommended practices.
format	article
author	Masaki Matsunaga
author_facet	Masaki Matsunaga
author_sort	Masaki Matsunaga
title	How to factor-analyze your data right: do’s, don’ts, and how-to’s.
title_short	How to factor-analyze your data right: do’s, don’ts, and how-to’s.
title_full	How to factor-analyze your data right: do’s, don’ts, and how-to’s.
title_fullStr	How to factor-analyze your data right: do’s, don’ts, and how-to’s.
title_full_unstemmed	How to factor-analyze your data right: do’s, don’ts, and how-to’s.
title_sort	how to factor-analyze your data right: do’s, don’ts, and how-to’s.
publisher	Universidad de San Buenaventura
publishDate	2010
url	https://doaj.org/article/1c86c7915e354654ab6d189491b92dc5
work_keys_str_mv	AT masakimatsunaga howtofactoranalyzeyourdatarightdosdontsandhowtos
_version_	1718414623851413504

How to factor-analyze your data right: do’s, don’ts, and how-to’s.

Ejemplares similares