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Informationen zum Autor Robert Szafran is Regents Professor of Sociology in the Department of Social and Cultural Analysis at Stephen F. Austin State University in Texas. A passionate believer in the ability of all college students to master and enjoy basic statistical analysis, he teaches courses in research methods and data analysis and also demography and labor force analysis. He has received both College and University Excellence in Teaching Awards. Past director of his university’s First-Year Seminar Program and its Inter-disciplinary Linked Courses Program, he has also served as department chair. He received his PhD in Sociology at The University of Wisconsin at Madison. Klappentext By making introductory statistics interesting through comparing data on today's student generation with their parents' generation, and asking students to consider how people change as they grow older, the book uses data on subjective beliefs (such as freedom of speech and abortion) as well objective characteristics (years of schooling, marital status) to teach basic statistics using SPSS. Zusammenfassung Introduces students to statistics using SPSS by using engaging subject matter and subjective and objective data. Inhaltsverzeichnis About the Author Preface Part 1. Getting Started Chapter 1. Introduction Chapter 2. Data Sets Part 2. Descriptive Statistics: Answering Questions About Your Data Chapter 3. Frequency Tables and Univariate Charts Chapter 4. Central Tendency and Dispersion Chapter 5. Creating New Variables Chapter 6. Comparing Group Means Chapter 7. Crosstab Tables Chapter 8. Nominal and Ordinal Measures of Association Chapter 9. Pearson¿s Correlation and Bivariate Regression Chapter 10. Multiple Regression Part 3. Inferential Statistics: Answering Questions About Populations Chapter 11. Sampling Distributions and Normal Distributions Chapter 12. Hypothesis Testing and One-Sample t Tests Chapter 13. Paired- and Independent-Samples t Tests Chapter 14. Analysis of Variance Chapter 15. Chi-Square Chapter 16. Hypothesis Testing With Measures of Association and Regression Glossary Index ...
