What question did this study set out to answer?

To develop and evaluate an improved parallel analysis method that prevents overextracting unnecessary factors in exploratory factor analysis.

June 1, 1995Educational and Psychological Measurement

An Improvement on Horn's Parallel Analysis Methodology for Selecting the Correct Number of Factors to Retain

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To develop and evaluate an improved parallel analysis method that prevents overextracting unnecessary factors in exploratory factor analysis.
Generated null distributions of eigenvalues from random population correlation identity matrices using Monte Carlo simulations.
Identified an upper percentile threshold (such as the 95th percentile) rather than the traditional mean eigenvalue to assess chance expectations.
Evaluated the modified technique across an empirical example and assessed its sensitivity to non-normal data distributions.
Using the 95th percentile threshold reduced the traditional parallel analysis tendency to retain one or two unwarranted or poorly defined factors.
The modified parallel analysis methodology demonstrated robustness and insensitivity to the distributional characteristics of the underlying data.

Discussion

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Implication

Simulation study demonstrates reduced factor overextraction using percentile-based parallel analysis, suggesting improved precision in exploratory factor analysis.

Cite This Study

Louis W. Glorfeld (1995) studied this question.

synapsesocial.com/papers/69d94dbac7f0c3ae80a3cc2c https://doi.org/10.1177/0013164495055003002

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Implication

Simulation study demonstrates reduced factor overextraction using percentile-based parallel analysis, suggesting improved precision in exploratory factor analysis.

An Improvement on Horn's Parallel Analysis Methodology for Selecting the Correct Number of Factors to Retain

Key Points

Discussion

Implication

Cite This Study

An Improvement on Horn's Parallel Analysis Methodology for Selecting the Correct Number of Factors to Retain

Key Points

Discussion

Implication

Cite This Study