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Klappentext Making statistics-and statistical software-accessible and rewardingThis book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS.This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages. Zusammenfassung Gives students simple! easy-to-understand instructions on how to run statistical tests using the latest software. Inhaltsverzeichnis About the Authors Preface Acknowledgments Introduction Chapter 1: An Introduction to Statistics & Quantitative Methods Chapter 2: An Introduction to IBM® SPSS® Statistics and Stata Chapter 3: Descriptive Statistics Chapter 4: Pearson¿s r, Chi-square, t-Test, and ANOVA Chapter 5: Linear Regression Chapter 6: Logistic, Ordered, Multinomial, Negative Binomial, and Poisson Regression Chapter 7: Factor Analysis Chapter 8: Time-Series Analysis Chapter 9: Hierarchical Linear Modeling Chapter 10: Structural Equation Modeling Appendix A: Selecting the Appropriate Test Appendix B: Tables of Significance Appendix C: Additional Statistical Tests and Equations Glossary Index
