Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis
Utah State University · University of Memphis · +1 more institution
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Abstract
The decision of how many factors to retain is a critical component of exploratory factor analysis. Evidence is presented that parallel analysis is one of the most accurate factor retention methods while also being one of the most underutilized in management and organizational research. Therefore, a step-by-step guide to performing parallel analysis is described, and an example is provided using data from the Minnesota Satisfaction Questionnaire. Recommendations for making factor retention decisions are discussed.
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Topics
Keywords
- Exploratory factor analysis
- Factor (programming language)
- Exploratory analysis
- Computer science
- Psychology
- Data science
- Structural equation modeling
- Machine learning
UN Sustainable Development Goals
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