Joseph Healey (Christopher Newport University), Christopher Donoghue (Montclair State University)

Statistics: A Tool for Social Research and Data Analysis

• Broschiertes Buch

Produktbeschreibung

Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required. The text breaks down even the most complex material to help you master key concepts and develop the skills you need as a professional in a social science field -- or simply to become a "statistically literate" consumer of social research. Everyday examples illustrate that statistics are not just abstract mathematical constructs, but they have practical value in government, education, business, media, politics, sports and more. Research examples in every chapter include the same "real data" used by professionals across various fields to make evidence-based decisions. Also available: MindTap digital learning solution.

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Produktdetails

• Verlag: Cengage Learning EMEA / Wadsworth Publishing
• 11. Aufl.
• Seitenzahl: 592
• Erscheinungstermin: 6. April 2020
• Englisch
• Abmessung: 202mm x 254mm x 33mm
• Gewicht: 839g
• ISBN-13: 9780357371077
• ISBN-10: 0357371070
• Artikelnr.: 58119533

Autorenporträt

Joseph F. Healey is Professor Emeritus of Sociology at Christopher Newport University. In addition to STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, he is the author of RACE, ETHNICITY, GENDER AND CLASS, 8th Edition (Sage, 2018 ) and DIVERSITY AND SOCIETY, 6th Edition (Sage, 2020 ) as well as co-author of several other texts. Dr. Healey earned his A.B. and M.A. from The College of William and Mary (sociology and anthropology) and his Ph.D. from the University of Virginia (sociology and anthropology). In his spare time, he plays and records music for the hammer dulcimer and banjo.

Inhaltsangabe

1. Introduction. PART I: DESCRIPTIVE STATISTICS. 2. Basic Descriptive Statistics: Tables, Percentages, Ratios and Rates, and Graphs. 3. Measures of Central Tendency. 4. Measures of Variation. 5. The Normal Curve. PART II: INFERENTIAL STATISTICS. 6. Introduction to Inferential Statistics: Sampling and the Sampling Distribution. 7. Estimation Procedures. 8. Hypothesis Testing I: The One-Sample Case. 9. Hypothesis Testing II: The Two-Sample Case. 10. Hypothesis Testing III: The Analysis of Variance. 11. Hypothesis Testing IV: Chi Square. PART III: BIVARIATE MEASURES OF ASSOCIATION. 12. Bivariate Association for Nominal- and Ordinal-Level Variables. 13. Association Between Variables Measured at the Interval-Ratio Level. PART IV: MULTIVARIATE TECHNIQUES. 14. Elaborating Bivariate Tables. 15. Partial Correlation and Multiple Regression and Correlation. Appendix A: Area Under the Normal Curve. Appendix B: Distribution of t. Appendix C: Distribution of Chi Square. Appendix D: Distribution of F. Appendix E: Using Statistics: Ideas for Research Projects. Appendix F: An Introduction to SPSS. Appendix G: Codebooks for All Data Sets. Answers to Odd-Numbered End-Of-Chapter Problems and Cumulative Exercises. Glossary. Index.