Improving the Use of Parallel Analysis by Accounting for Sampling Variability of the Observed Correlation Matrix

Xia/University of Illinois at Urbana-Champaign, Yan; Zhou/University of Illinois at Urbana-Champaign, Xinchang

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https://hdl.handle.net/2142/123980 Copy

Description

Title

Improving the Use of Parallel Analysis by Accounting for Sampling Variability of the Observed Correlation Matrix

Author(s)

• Xia/University of Illinois at Urbana-Champaign, Yan
• Zhou/University of Illinois at Urbana-Champaign, Xinchang

Contributor(s)

,

Issue Date

2024-08-08

Keyword(s)

• parallel analysis
• dimensionality assessment
• factor analysis
• sample size

Abstract

This document provides supplementary information for the manuscript Improving the Use of Parallel Analysis by Accounting for Sampling Variability of the Observed Correlation Matrix, accepted by Educational and Psychology Measurement in August 2024. The documents include: (1) an R tutorial for the PA* method, (2) the supplementary results for the moderately nonnormal conditions, and (3) the analyses for the three empirical correlation matrices.

Type of Resource

dataset

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