Kenneth Meier (Texas A & M University), Jeffrey Brudney (Betty and Dan Cameron Family Distinguished Profess, John Bohte (Milwaukee University of Wisconsin)

Applied Statistics for Public and Nonprofit Administration

• Broschiertes Buch

Produktbeschreibung

Suitable for students and practitioners of public administration who have little background in statistics or research methods, this book covers all statistical techniques.

Produktdetails

• Verlag: Cengage Learning EMEA / Wadsworth Publishing
• 9. Aufl.
• Seitenzahl: 528
• Erscheinungstermin: 1. Januar 2014
• Englisch
• Abmessung: 231mm x 187mm x 43mm
• Gewicht: 1006g
• ISBN-13: 9781285737232
• ISBN-10: 1285737237
• Artikelnr.: 39126883

Autorenporträt

Kenneth J. Meier is the Charles H. Gregory Chair in Liberal Arts and Distinguished Professor of Political Science at Texas A&M University. He is also Professor of Public Management in the Cardiff School of Business, Cardiff University (Wales). He is a former editor of the AMERICAN JOURNAL OF POLITICAL SCIENCE (1994-1997), a former associate editor of THE JOURNAL OF POLITICS (1991-1994), and the JOURNAL OF PUBLIC ADMINISTRATION RESEARCH AND THEORY (2000-2009). He served as the president of the Southwest Political Science Association; the American Political Science Associations sections on State Politics and Policy, Public Policy, and Public Administration; the Public Management Research Association; and the Midwest Political Science Association. In 2006, he received the John Gaus Award for career contributions to public administration scholarship; and in 2010, the C. Dwight Waldo Award from the American Society for Public Administration. He currently lives with the love of his life, Diane Jones Meier, in Bryan, Texas, and spends his free time comparing the merits of California zinfandels with Australian Shirazes.

Inhaltsangabe

PART I: FOUNDATIONS OF QUANTITATIVE ANALYSIS. 1. Statistics and Public and Nonprofit Administration. 2. Measurement. 3. Research Design. PART II: DESCRIPTIVE STATISTICS. 4. Frequency Distributions. 5. Measures of Central Tendency. 6. Measures of Dispersion. PART III: PROBABILITY. 7. The Normal Probability Distribution. 8. The Binomial Probability Distribution. 9. Some Special Probability Distributions. PART IV: INFERENTIAL STATISTICS. 10. Introduction to Inference. 11. Hypothesis Testing. 12. Estimating Population Proportions. 13. Testing the Difference between Two Groups. PART V: ANALYSIS OF NOMINAL AND ORDINAL DATA. 14. Construction and Analysis of Contingency Tables. 15. Aids for the Interpretation of Contingency Tables. 16. Statistical Control Table Analysis. PART VI: REGRESSION ANALYSIS. 17. Introduction to Regression Analysis. 18. The Assumptions of Linear Regression. 19. Time Series Analysis. 20. Multiple Regression. 21. Regression Output and Data Management.