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article · Measurement and Evaluation in Counseling and Development · 1988

Why Multivariate Methods are Usually Vital

Larry J. Fish

Cited by 102Abstract and details only

Abstract

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.

Cite this paper

APA 7

Fish, L. J. (1988). Why Multivariate Methods are Usually Vital. Measurement and Evaluation in Counseling and Development, 21(3), 130–137. https://doi.org/10.1080/07481756.1988.12022895

MLA 9

Fish, Larry J. “Why Multivariate Methods are Usually Vital.” Measurement and Evaluation in Counseling and Development, vol. 21, no. 3, 1988, pp. 130–37, https://doi.org/10.1080/07481756.1988.12022895.

Chicago

Fish, Larry J. 1988. “Why Multivariate Methods are Usually Vital.” Measurement and Evaluation in Counseling and Development 21 (3): 130–37. https://doi.org/10.1080/07481756.1988.12022895.

Harvard

Fish, L.J. (1988) ‘Why Multivariate Methods are Usually Vital’, Measurement and Evaluation in Counseling and Development, 21(3), pp. 130–137. Available at: https://doi.org/10.1080/07481756.1988.12022895.

BibTeX
@article{fish1988multivariate,
  title = {{Why Multivariate Methods are Usually Vital}},
  author = {Fish, Larry J.},
  journal = {Measurement and Evaluation in Counseling and Development},
  volume = {21},
  number = {3},
  pages = {130--137},
  year = {1988},
  doi = {10.1080/07481756.1988.12022895}
}

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