Abstract

Use of parallel analysis (PA), a selection rule for the number-of-factors problem, is investigated from the viewpoint of permutation assessment through a Monte Carlo simulation. Results reveal advantages and limitations of PA. Tables of sample eigenvalues are included. (SLD)

Citation

Buja, A. & Eyuboglu, N. (1992). Remarks on Parallel Analysis. Multivariate Behavioral Research, 27(4), 509. Retrieved August 7, 2024 from https://www.learntechlib.org/p/147022/.

This record was imported from ERIC on March 21, 2014. [Original Record]

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Keywords

• Computer Simulation
• Correlation
• Factor Structure
• mathematical models
• Monte Carlo Methods
• Nonparametric Statistics
• Research Methodology
• Sampling
• Statistical Bias