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Peer reviewed Peer reviewed
ERIC Number: EJ572821
Record Type: CIJE
Publication Date: 1998
Pages: N/A
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0013-1644
The Effect of Common Variance and Structure Pattern on Random Data Eigenvalues: Implications for the Accuracy of Parallel Analysis.
Turner, Nigel E.
Educational and Psychological Measurement, v58 n4 p541-68 Aug 1998
This study assessed the accuracy of parallel analysis, a technique in which observed eigenvalues are compared to eigenvalues from simulated data when no real factors are present. Three studies with manipulated sizes of real factors and sample sizes illustrate the importance of modeling the data more closely when parallel analysis is used. (SLD)
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Sample Size, Simulation
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: Eigenvalues; Parallel Analysis (Horn)