Using the same accessible, hands-on approach as its best-selling
predecessor, the Handbook of Univariate and Multivariate Data
Analysis with IBM SPSS, Second Edition explains how to apply
statistical tests to experimental findings, identify the
assumptions underlying the tests, and interpret the findings. This
second edition now covers more topics and has been updated with the
SPSS statistical package for Windows. New to the Second Edition
Three new chapters on multiple discriminant analysis, logistic
regression, and canonical correlation New section on how to deal
with missing data Coverage of tests of assumptions, such as
linearity, outliers, normality, homogeneity of variance-covariance
matrices, and multicollinearity Discussions of the calculation of
Type I error and the procedure for testing statistical significance
between two correlation coefficients obtained from two samples
Expanded coverage of factor analysis, path analysis (test of the
mediation hypothesis), and structural equation modeling Suitable
for both newcomers and seasoned researchers in the social sciences,
the handbook offers a clear guide to selecting the right
statistical test, executing a wide range of univariate and
multivariate statistical tests via the Windows and syntax methods,
and interpreting the output results. The SPSS syntax files used for
executing the statistical tests can be found in the appendix. Data
sets employed in the examples are available on the book's CRC Press
web page.
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