구글 코랩의 파이썬을 이용한 탐색적 요인분석: SPSS와의 비교를 중심으로 = Exploratory Factor Analysis using R Program: Focused on a Comparison with SPSS

다국어 초록 (Multilingual Abstract)

This research delves into the application of exploratory factor analysis (EFA) using Python in Google Colab and contrasts the results with those obtained using SPSS.
With an emphasis on showcasing the efficacy and accessibility of Google Colab's Python environment, this study aims to elucidate any differences or similarities in the outcomes derived from both tools. Upon conducting EFA, both Python and SPSS manifested closely aligned results. However, when applying parallel analysis for determining the appropriate number of factors, the Python environment in Google Colab showcased an advantage, while this function was not feasible in SPSS.
Consequently, our findings accentuate Python's superiority, particularly within Google Colab, for executing EFA. The availability of parallel analysis, often lauded for its empirical precision in factor determination, adds to Python's appeal.