Handbook of Univariate and Multivariate Data Analysis with IBM SPSS (2nd Ed.)
Auteur : Ho Robert
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.
Inferential Statistics and Test Selection. Introduction to SPSS. Multiple Response. t Test for Independent Groups. Paired-Samples t Test. One-Way Analysis of Variance, with Post Hoc Comparisons. Factorial Analysis of Variance. General Linear Model (GLM) Multivariate Analysis. General Linear Model: Repeated Measures Analysis. Correlation. Linear Regression. Factor Analysis. Reliability. Multiple Regression. Multiple Discriminant Analysis. Logistic Regression. Canonical Correlation Analysis. Structural Equation Modeling. Nonparametric Tests. Appendix. Bibliography. Index.
Date de parution : 01-2023
15.6x23.4 cm
Date de parution : 12-2013
15.6x23.4 cm
Thèmes de Handbook of Univariate and Multivariate Data Analysis... :
Mots-clés :
SPSS Syntax Method; SPSS Output; how to apply statistical tests to experimental findings; Data Set; implementing univariate and multivariate statistical tests; Lower Bound Upper Bound; tests of assumptions; Linear Regression Window; how to deal with missing data; Windows Method; data analysis using SPSS; Post Hoc Comparisons; multiple discriminant analysis; Roy’s Largest Root; logistic regression; Sav; canonical correlation; Voluntary Euthanasia; factor analysis; Hotelling’s Trace; path analysis; Pillai’s Trace; structural equation modeling; Multivariate Tests; data analysis in the social sciences; Group Variable; Multivariate Testsb; GPA Score; General Linear Model; Predictor Variables; Explore Window; Grade Point Average; Prediction Equation; GLM Multivariate Analysis; ANOVA Output; Standardized Regression Weights; Group Invariant Model
