Through the use of critical thinking questions and data-based exercises this book helps students apply the techniques described in Essential Statistics for Public Managers and Policy Analysts. Various examples are provided from human resource management, organizational behavior, budgeting, and public policy to illustrate how public administrators interact with and analyze data.
Evan M. Berman is Professor of Public Management and Director of Internationalization at Victoria University of Wellington, School of Government. Prior, he was the Huey McElveen Distinguished Professor at Louisiana State University. His areas of expertise are human resource management, public performance, local government, and public governance in Asia. He is past Chair of the American Society for Public Administration's Section of Personnel and Labor Relations. He has over 125 publications and 12 books, including People Skills At Work (CRC Press, 2011), Essential Statistics for Public Managers and Policy Analysts, Third Edition (CQ Press, 2012), and a trilogy of books on Public Administration in Asia (2010, 2011, 2013, CRC Press). He has published in all major journals of the discipline, is Senior Editor of Public Performance & Management Review, a Distinguished Fulbright Scholar, past University Chair Professor at National Chengchi University (Taipei, Taiwan), and a former policy analyst with the National Science Foundation.
Introduction Chapter 1 Why Statistics for Public Managers and Analysts? Q & A Critical Thinking Application Exercises Further Reading Chapter 2 Research Design Q & A Critical Thinking Application Exercises Further Reading Chapter 3 Conceptualization and Measurement Q & A Critical Thinking Application Exercises Further Reading Chapter 4 Measuring and Managing Performance: Present and Future Q & A Critical Thinking Application Exercises Further Reading Chapter 5 Data Collection Q & A Critical Thinking Application Exercises Further Reading Chapter 6 Central Tendency Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 7 Measures of Dispersion Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 8 Contingency Tables Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 9 Getting Results Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 10 Introducing Inference: Estimation from Samples Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 11 Hypothesis Testing with Chi-Square Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 12 The T-Test Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 13 Analysis of Variance (ANOVA) Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 14 Simple Regression Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 15 Multiple Regression Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 16 Logistic Regression and Time Series Regression Q & A Critical Thinking Data-Based Exercises Further Reading Chapter 17 Survey of Other Techniques Q & A Critical Thinking Data-Based Exercise Further Reading Chapter 18 Excel User's Guide Loading the Data Analysis ToolPak Locating the Insert Function (fx) The Excel Sheet Screen and Descriptive Statistics Procedure Frequency Distributions Chi-Square Test One-Sample T-Test Two-Samples T-Test ANOVA Regression Creating Charts in Excel Chapter 19 SPSS User's Guide SPSS Screens Creating a Variable Univariate Analysis: Means and Frequency Distributions Variable Labels and Values Defining Missing Values Selecting a Subset of Observations for Analysis Index Variables I: Cronbach Alpha Index Variables II: Construction Recoding Data Hypothesis Testing with Chi-Square T-Tests Conclusion Chapter 20 Dataset Documentation Public Perceptions Employee Attitudes Community Indicators Watershed Productivity Crime Time Florida County Conservation Spending Database
