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BUSINESS & MANAGEMENT STUDIES:
AN INTERNATIONAL JOURNAL
Published: 2020-03-25

NORMALITY ASSUMPTION IN THE EXPLORATORY FACTOR ANALY-SIS WITH LIKERT SCALE DATA AND TESTING ITS EFFECT ON FACTOR EXTRACTION

Prof. Dr., İstanbul Ticaret University
Prof. Dr., İstanbul Ticaret University
Likert Scales, Exploratory Factor Analysis, Normality Assumption

Abstract

In this article, in which situations the normality assumptions will be brought up to make the Exploratory Factor Analysis (EFA) with Likert data evaluated in the ordered category, what kind of EFA methods are concerned, how to make normality evaluation with SPSS, PRELIS and FACTOR software, how to make the factorial structures of different EFA methods and how the factor structures will be affected if the non-conformity EFA method is applied in cases where the normality condition is not met and how the results of the normality analysis will be reported. While the study has an tutorial quality in one aspect, it questions the factorial structures that the data which do not show normal distribution characteristics can be revealed in different statistical software. According to the findings of the research, it was understood that the most healthy factorial structures could be obtained with software such as Lisrel-Prelis and Factor.

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How to Cite

ŞENCAN, H., & FİDAN, Y. (2020). NORMALITY ASSUMPTION IN THE EXPLORATORY FACTOR ANALY-SIS WITH LIKERT SCALE DATA AND TESTING ITS EFFECT ON FACTOR EXTRACTION. Business & Management Studies: An International Journal, 8(1), 640-687. https://doi.org/10.15295/bmij.v8i1.1395