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.