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Applied Multivariate Statistics for the Social Sciences
Engleski
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Noted for its breadth and depth of coverage of multivariate statistics and its emphasis on power, this classic text focuses on a conceptual understanding of the material rather than on proving results. Numerous examples, along with use of SAS and SPSS, indicate what the numbers mean and how to interpret the results. New co-author Keenan Pituch makes this accessible text even more user-friendly. New chapters on multivariate multilevel linear modeling and logistic regression and newexample results sections help students better understand how to report and interpret analysis results. The authors stress checking the data, assessing the assumptions, and ensuring adequate sample size.
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