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Peer reviewed Peer reviewed
ERIC Number: EJ533505
Record Type: CIJE
Publication Date: 1996
Pages: N/A
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0034-6543
Univariate and Multivariate Omnibus Hypothesis Tests Selected to Control Type I Error Rates When Population Variances Are Not Necessarily Equal.
Coombs, William T.; And Others
Review of Educational Research, v66 n2 p137-79 Sum 1996
Methods to compare population means in the univariate case and population mean vectors in the multivariate case are presented in terms of hypotheses tested by various procedures. Tests relevant to each hypothesis are described and compared in terms of maximizing power while controlling Type I error rates over the widest variety of conditions. (SLD)
Descriptors: Comparative Analysis, Hypothesis Testing, Multivariate Analysis
Publication Type: Reports - Descriptive; Journal Articles
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: Omnibus Tests; Population Parameters; Type I Errors; Univariate Analysis; Variance (Statistical)