Exploratory Factor Analysis with R Software

Exploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has been used in scale development and adaptation studies, in particular. Therefore, in this study, how to conduct EFA in R software has been explained. First of all, it is examined whether the data set hold...

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Main Author: Abdullah Faruk Kılıç
Format: Article
Language:English
Published: Anadolu University, Eskisehir 2020-07-01
Series:Anadolu Üniversitesi Eğitim Fakültesi dergisi
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Online Access:https://dergipark.org.tr/tr/download/article-file/1222063
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author Abdullah Faruk Kılıç
author_facet Abdullah Faruk Kılıç
author_sort Abdullah Faruk Kılıç
collection DOAJ
description Exploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has been used in scale development and adaptation studies, in particular. Therefore, in this study, how to conduct EFA in R software has been explained. First of all, it is examined whether the data set holds the assumptions of EFA. When examining the assumptions of EFA, a function was written. Then, the number of factors was evaluated via parallel analysis (PA), minimum average partial (MAP), and scree plot. After deciding on the number of factors, EFA was conducted and reported. To report the results, R codes were provided to write the results in a Word document. Five categories and two-factorial data set were used in the current study. Oblimin was used as rotation method. Researchers should edit the R codes in terms of their data set properties.
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publisher Anadolu University, Eskisehir
record_format Article
series Anadolu Üniversitesi Eğitim Fakültesi dergisi
spelling doaj-art-d4d466615fd84464bd4d7b3fa58ebe9f2025-08-20T02:04:00ZengAnadolu University, EskisehirAnadolu Üniversitesi Eğitim Fakültesi dergisi2602-22492020-07-014327629326Exploratory Factor Analysis with R SoftwareAbdullah Faruk Kılıç0https://orcid.org/0000-0003-3129-1763Adıyaman ÜniversitesiExploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has been used in scale development and adaptation studies, in particular. Therefore, in this study, how to conduct EFA in R software has been explained. First of all, it is examined whether the data set holds the assumptions of EFA. When examining the assumptions of EFA, a function was written. Then, the number of factors was evaluated via parallel analysis (PA), minimum average partial (MAP), and scree plot. After deciding on the number of factors, EFA was conducted and reported. To report the results, R codes were provided to write the results in a Word document. Five categories and two-factorial data set were used in the current study. Oblimin was used as rotation method. Researchers should edit the R codes in terms of their data set properties.https://dergipark.org.tr/tr/download/article-file/1222063exploratory factor analysisr softwareparallel analysisminimum average partialaçımlayıcı faktör analizir yazılımıparalel analizen küçük kısmi ortalamalar
spellingShingle Abdullah Faruk Kılıç
Exploratory Factor Analysis with R Software
Anadolu Üniversitesi Eğitim Fakültesi dergisi
exploratory factor analysis
r software
parallel analysis
minimum average partial
açımlayıcı faktör analizi
r yazılımı
paralel analiz
en küçük kısmi ortalamalar
title Exploratory Factor Analysis with R Software
title_full Exploratory Factor Analysis with R Software
title_fullStr Exploratory Factor Analysis with R Software
title_full_unstemmed Exploratory Factor Analysis with R Software
title_short Exploratory Factor Analysis with R Software
title_sort exploratory factor analysis with r software
topic exploratory factor analysis
r software
parallel analysis
minimum average partial
açımlayıcı faktör analizi
r yazılımı
paralel analiz
en küçük kısmi ortalamalar
url https://dergipark.org.tr/tr/download/article-file/1222063
work_keys_str_mv AT abdullahfarukkılıc exploratoryfactoranalysiswithrsoftware