This accessible handbook explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. Updated with the SPSS statistical package for Windows, this second edition now covers more topics, including tests of assumptions and how to deal with missing data. It also offers three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation and expands coverage of factor analysis, path analysis, and structural equation ...
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This accessible handbook explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. Updated with the SPSS statistical package for Windows, this second edition now covers more topics, including tests of assumptions and how to deal with missing data. It also offers three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation and expands coverage of factor analysis, path analysis, and structural equation modeling.
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