Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS

Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS

2006 | Robert Ho
The book "Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS" by Robert Ho is a comprehensive guide to statistical analysis using the SPSS software. It aims to bridge the gap between theoretical statistics and practical application, providing clear guidelines for both executing statistical tests and interpreting results. The book covers a wide range of topics, including inferential statistics, test selection, univariate and multivariate statistical tests, and the interpretation of SPSS output. It emphasizes the importance of understanding the purpose of specific tests, the research designs they are relevant to, and the execution methods (Windows and syntax). The book also includes numerous examples and data sets to illustrate the application of statistical techniques, such as t-tests, ANOVA, factor analysis, and structural equation modeling. Additionally, it discusses the selection of appropriate statistical procedures based on the nature of hypotheses and the levels of measurement of variables. The author, Robert Ho, is an associate professor at Central Queensland University, Australia, with expertise in quantitative methods, health psychology, and social psychology.The book "Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS" by Robert Ho is a comprehensive guide to statistical analysis using the SPSS software. It aims to bridge the gap between theoretical statistics and practical application, providing clear guidelines for both executing statistical tests and interpreting results. The book covers a wide range of topics, including inferential statistics, test selection, univariate and multivariate statistical tests, and the interpretation of SPSS output. It emphasizes the importance of understanding the purpose of specific tests, the research designs they are relevant to, and the execution methods (Windows and syntax). The book also includes numerous examples and data sets to illustrate the application of statistical techniques, such as t-tests, ANOVA, factor analysis, and structural equation modeling. Additionally, it discusses the selection of appropriate statistical procedures based on the nature of hypotheses and the levels of measurement of variables. The author, Robert Ho, is an associate professor at Central Queensland University, Australia, with expertise in quantitative methods, health psychology, and social psychology.
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