Determining the number of factors to retain: a Windows-based FORTRAN-IMSL program for parallel analysis
1Tulane University, New Orleans, Louisiana, USA.
Summary
Parallel analysis (PA) is a superior method for determining factors in exploratory factor analysis. A new, interactive Windows program is now available to make this advanced technique accessible for psychological research.
Area of Science:
- Psychometrics
- Quantitative Psychology
- Statistical Methods
Background:
- Exploratory factor analysis (EFA) is a common statistical technique.
- Determining the correct number of factors to retain is crucial for valid EFA results.
- Existing methods for factor retention are often less accurate than parallel analysis (PA).
Purpose of the Study:
- To address the underutilization of parallel analysis (PA) in psychological research.
- To provide researchers with accessible, modern software for performing PA.
- To offer a reliable tool for determining the number of factors in EFA.
Main Methods:
- Development of an interactive FORTRAN-IMSL program for parallel analysis (PA).
- The program is designed to run on PCs under Windows.
- Sample output is provided for verification and direct use by researchers.
Main Results:
- A functional and interactive PA program compatible with Windows operating systems is now available.
- The program is tailored for typical psychological research scenarios.
- Provided sample outputs facilitate program validation and application.
Conclusions:
- The developed PA program enhances the accessibility of a superior factor retention method.
- This tool can improve the quality and validity of exploratory factor analysis in psychological studies.
- Researchers are encouraged to adopt PA for more robust factor determination.


