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...

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Auteur principal: Masaki Matsunaga
Format: article
Langue:EN
ES
Publié: Universidad de San Buenaventura 2010
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Accès en ligne:https://doaj.org/article/1c86c7915e354654ab6d189491b92dc5
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