Parallel Analysis Criteria: Revised Equations for Estimating the Latent Roots of Random Data Correlation Matrices.

Lautenschlager, Gary J.; And Others

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Peer reviewed

ERIC Number: EJ396055

Record Type: Journal

Publication Date: 1989

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Parallel Analysis Criteria: Revised Equations for Estimating the Latent Roots of Random Data Correlation Matrices.

Lautenschlager, Gary J.; And Others

Educational and Psychological Measurement, v49 n2 p339-45 Sum 1989

A method for estimating the first eigenvalue of random data correlation matrices is reported, and its precision is demonstrated via comparison to the method of S. J. Allen and R. Hubbard (1986). Data generated in Monte Carlo simulations with 10 sample sizes reaching up to 1,000 were used. (SLD)

Descriptors: Computer Simulation, Correlation, Equations (Mathematics), Estimation (Mathematics), Evaluation Criteria, Matrices, Monte Carlo Methods, Regression (Statistics)

Publication Type: Journal Articles; Reports - Evaluative; Speeches/Meeting Papers

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Language: English

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