Abstract
Statistical procedures are tools that researchers use to help them understand their data and to decide what hypotheses are most consistent with the data. Multivariate statistical techniques are relatively complicated tools. Knowing when to use the tools, to apply them appropriately, and to understand how they affect the results that appear in a solution requires sophisticated training. Multivariate statistical procedures can be exceedingly useful: however, their misuse can produce distorted results, distortions that may not be apparent to the researcher who has an insufficient understanding of the procedures.
Statistics is neither an art nor a science, but a dodge.
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References
Sage University Paperseries on Quantitative Applications in the Socials Sciences. Beverly Hills, Calif.: Sage Publications, 1976–1983.
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© 1984 Plenum Press, New York
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Blashfield, R.K. (1984). An Overview of Multivariate Models and Methods. In: The Classification of Psychopathology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2665-6_6
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DOI: https://doi.org/10.1007/978-1-4613-2665-6_6
Publisher Name: Springer, Boston, MA
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