Essential statistics for public managers and policy analysts. (2017)

• Record Type: Book
• Authors: Berman, Evan M; Wang, XiaoHu, 1962-
• Contents: Tables, Figures, and Boxes; Preface; Acknowledgments; Statistics Roadmap; Section I: Introduction; Chapter 1 Why Statistics for Public Managers and Policy Analysts?; Chapter Objectives; Role of Data in Public Management; Competency and Proficiency; Ethics in Data Analysis and Research; Summary; Key Terms; Section II: Research Methods; Chapter 2 Research Design; Chapter Objectives; Introducing Variables and Their Relationships; Program Evaluation; A Bit More: Extending through Quasi-experimental Design; Summary; Key Terms; Chapter 3 Conceptualization and Measurement; Chapter Objectives; Measurement Levels and Scales; Conceptualization; Operationalization; Index Variables; Measurement Validity; Summary; Key Terms; Chapter 4 Measuring and Managing Performance: Present and Future; Chapter Objectives; Performance Measurement; Managing Performance; Efficiency, Effectiveness, and a Bit More; Peering Into the Future: Forecasting; Summary; Key Terms; Chapter 5 Data Collection; Chapter Objectives; Sources of Data; Sampling; Data Input; Putting It Together; Summary; Key Terms; Section III: Descriptive Statistics; Chapter 6 Central Tendency; Chapter Objectives; The Mean; The Median; The Mode; Summary; Key Terms; Appendix 6.1: Using Grouped Data; Chapter 7 Measures of Dispersion; Chapter Objectives; Frequency Distributions; Standard Deviation; Summary; Key Terms; Appendix 7.1: Boxplots; Chapter 8 Contingency Tables; Chapter Objectives; Contingency Tables; Relationship and Direction; Pivot Tables; Summary; Key Terms; Chapter 9 Getting Results; Chapter Objectives; Analysis of Outputs and Outcomes; Analysis of Efficiency and Effectiveness; Analysis of Equity; Quality-of-Life Analysis; A Bit of Forecasting, Too; Some Cautions in Analysis and Presentation; Summary; Key Terms; Appendix 9.1: Forecasting with Periodic Effects; Section IV: Inferential Statistics; Chapter 10 Introducing Inference: Estimation from Samples; Chapter Objectives; From Sample to Population; Statistical Estimation of Population Parameters; Summary; Key Terms; Chapter 11 Hypothesis Testing with Chi-Square; Chapter Objectives; What Is Chi-Square?; Hypothesis Testing; The Goodness-of-Fit Test; A Nonparametric Alternative; Summary; Key Terms; Appendix 11.1: Rival Hypotheses: Adding a Control Variable; Appendix 11.2: Some Nonparametric Tests for Specific Situations; Chapter 12 The T-Test; Chapter Objectives; T-Tests for Independent Samples; Two T-Test Variations; Nonparametric Alternatives to T-Tests; Summary; Key Terms; Chapter 13 Analysis of Variance (ANOVA); Chapter Objectives; Analysis of Variance; A Nonparametric Alternative; Summary; Key Terms; Chapter 14 Simple Regression; Chapter Objectives; Simple Regression; Pearson’s Correlation Coefficient; Spearman’s Rank Correlation Coefficient; Summary; Key Terms; Chapter 15 Multiple Regression; Chapter Objectives; Model Specification; A Working Example; Further Statistics; Use of Nominal Variables; Testing Assumptions; Summary; Key Terms; Section V: Further Statistics; Chapter 16 Logistic and Time Series Regression; Chapter Objectives; The Logistic Model; A Working Example; Time Series in Multiple Regression; Summary; Key Terms; Chapter 17 Survey of Other Techniques; Chapter Objectives; Path Analysis; Statistical Forecasting; Survival Analysis; Factor Analysis; Summary; Key Terms; Appendixes; A: Normal Distribution; B: Chi-Square (c2) Distribution; C: T-Test Distribution; D: Durbin-Watson Distribution; E: F-Test Distribution; Glossary; Index; About the Authors;
• Edition: Fourth edition
• Publisher Details: Washington, D.C : CQ Press
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 519.5; Public administration -- Statistical methods; Policy sciences -- Statistical methods
• Languages: English
• ISBNs: 9781506364292
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
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