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Why Multivariate Methods are Usually Vital

Bibliographic Data

ID12098300
AuthorsLarry J Fish (Larry J. Fish is a doctoral student and research associate with the Graduate School of Education at the University of California at Los Angeles., corresponding author)
Year1988
Volume21
Issue3
Pages130-137
Publication date1988-10-01
Open AccessNo
TypeARTICLE
VenueMeasurement and Evaluation in Counseling and Development (JOURNAL)
Journal identifiersISSN: 0748-1756 • E-ISSN: 1947-6302
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1080/07481756.1988.12022895
OpenAlexW40745829
LanguageEN
Citations received12
References cited7

Multivariate statistical analyses are appropriate whenever a study involves two or more outcome variables. Because multiple-outcome models reflect social reality more accurately than do conventional single-outcome or univariate models, multivariate analysis should be studied and practiced more extensively than it is. In this article, several reasons for doing multivariate analysis are presented, and two common errors in statistical analysis are discussed. Examples are presented to show how a single multivariate analysis can produce different results than do separate univariate analyses, and to illustrate the relationship between ANOVA and canonical correlation analysis

Canonical correlation · Correlation · Econometrics · Multivariate analysis · Multivariate analysis of variance · Multivariate statistics · Outcome (game theory · Statistical analysis · Statistics · Univariate · Advanced Statistical Methods and Models · Diverse Academic Research Areas · Mathematics · Psychology · Statistical Methods and Applications

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Citations per year0.32
Citation span1989 - 2015 (27)
Highly citedNo

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