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999			_c1495 _d1495
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005			20200116111942.0
008			191008
020			_a1-584-88602-1
040			_cIZA
100			_aHo, Robert _94160
245		0	_aHandbook of Univariate and Multivariate Data Analysis and Interpretation With SPSS
260			_aBoca Raton
260			_c2006 _bChapman & Hall, _aLondon [u.a.],
300			_a424 pages
340			_hC8 112
520			_aUsing 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.
650			_aanalysis of variance _94161
650			_aSPSS _94162
650			_aSoftware _95978
650			_adata analysis _91118
650			_asocial sciences _9571
942			_cBO _2ddc