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Korean Journal of Psychology: General

Exploratory Factor Analysis: How has it Changed?

Korean Journal of Psychology: General / Korean Journal of Psychology: General, (P)1229-067X; (E)2734-1127
2016, v.35 no.1, pp.217-255
https://doi.org/10.22257/kjp.2016.03.35.1.217




Abstract

In the present study new developments in EFA(Exploratory Factor Analysis) that have occurred at the turn of the 21th century are discussed. New guidelines and an analysis of real data following the guidelines are given with practical comments. First, in a process of determining the number of factors, MRFA (minimum rank factor analysis) is recommended as the best method of Parallel Analysis (PA) instead of Horn's method (1965) and PA-PAFA (parallel analysis in principal axis factor analysis). Various fit indices such as CFI, RMSEA, and etc. allow us to consider “various psychometric criteria” before determining the number of factors as the indices are less sensitive to sample sizes than the conventional statistic. In addition estimation methods that are applicable to categorical data (dichotomous or polytomous) have been developed so that item factor analysis can be readily performed for categorical data. Second, in a process of rotating factor structures, “simple” oblique structure can be easily computed just by minimzing the value of complexity function, and a “partially specified target” rotaion is also available adopting a target matrix whose elements are partially hypothesized by a researcher. Finally, in a process of interpreting factor structures, ESEM (Exploratory Structural Equation Modeling) will get prevalence in the near future as it allows us to free correlations between unique factors (measurement errors) and can produce more practical and interpretable factor stucutures. New guidelines on EFA are described in detail in the later part of this paper.

keywords
탐색적 요인분석, 공통요인분석, 탐색적 회전, 목표회전, 탐색적 구조방정식 모형, exploratory factor analysis, common factor analysis, exploratory rotation, target rotation, exploratory sturctural equation modeling

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Korean Journal of Psychology: General