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Essential Statistics for Public Managers and Policy Analysts

Essential Statistics for Public Managers and Policy Analysts

Fourth Edition
  • Evan Berman - Fundação Getulio Vargas, Brazil
  • Xiaohu Wang - City University of Hong Kong, Kowloon, Hong Kong, University of Central Florida, USA

January 2017 | 368 pages | CQ Press

Known for its brevity and student-friendly approach, Essential Statistics for Public Managers and Policy Analysts remains one of the most popular introductory books on statistics for public policy and public administration students, using carefully selected examples tailored specifically for them. The Fourth Edition continues to offer a conceptual understanding of statistics that can be applied readily to the real-life challenges of public administrators and policy analysts. The book provides examples from the areas of human resources management, organizational behavior, budgeting, and public policy to illustrate how public administrators interact with and analyze data.

The text may be paired with the workbook Exercising Essential Statistics, Fourth Edition to help students apply each statistical technique introduced in the text. Click here to see more information about the workbook. Use bundle ISBN: 978-1-5063-7366-9.

Available with Perusall—an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

Tables, Figures, and Boxes
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


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


Key Terms

Chapter 3 Conceptualization and Measurement
Chapter Objectives

Measurement Levels and Scales



Index Variables

Measurement Validity


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


Key Terms

Chapter 5 Data Collection
Chapter Objectives

Sources of Data


Data Input

Putting It Together


Key Terms

Section III: Descriptive Statistics
Chapter 6 Central Tendency
Chapter Objectives

The Mean

The Median

The Mode


Key Terms

Appendix 6.1: Using Grouped Data

Chapter 7 Measures of Dispersion
Chapter Objectives

Frequency Distributions

Standard Deviation


Key Terms

Appendix 7.1: Boxplots

Chapter 8 Contingency Tables
Chapter Objectives

Contingency Tables

Relationship and Direction

Pivot Tables


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


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


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


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


Key Terms

Chapter 13 Analysis of Variance (ANOVA)
Chapter Objectives

Analysis of Variance

A Nonparametric Alternative


Key Terms

Chapter 14 Simple Regression
Chapter Objectives

Simple Regression

Pearson’s Correlation Coefficient

Spearman’s Rank Correlation Coefficient


Key Terms

Chapter 15 Multiple Regression
Chapter Objectives

Model Specification

A Working Example

Further Statistics

Use of Nominal Variables

Testing Assumptions


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


Key Terms

Chapter 17 Survey of Other Techniques
Chapter Objectives

Path Analysis

Statistical Forecasting

Survival Analysis

Factor Analysis


Key Terms

A: Normal Distribution
B: Chi-Square (c2) Distribution
C: T-Test Distribution
D: Durbin-Watson Distribution
E: F-Test Distribution
About the Authors


Instructor Site

Password-protected Instructor Resources include the following:

  • Sample course syllabi for semester and quarter courses provide suggested models for structuring one’s course.
  • A set of all the graphics from the text, including all of the maps, tables, and figures, in PowerPoint, .pdf, and .jpg formats for class presentations.
  • Microsoft® Word test bank, is available containing multiple choice, true/false, short answer, and essay questions for each chapter. The test bank provides you with a diverse range of pre-written options as well as the opportunity for editing any question and/or inserting your own personalized questions to effectively assess students’ progress and understanding.
  • Editable, chapter-specific Microsoft® PowerPoint® slides offer you complete flexibility in easily creating a multimedia presentation for your course. Highlight essential content and features.
  • And much more!

affordability, conciseness, relevance to professional work.

Mr Gwen Urey
Urban/Regional Planning Dept, Cal State Polytechnic-Pomona
August 8, 2019
Key features
  • New chapter on introducing inference
  • Improved explanations and updated examples
  • Streamlined chapters on advanced techniques
  • Additional new practice data set and exercise questions
  • Learning objectives are provided at the beginning of each chapte
  • Data sets are provided in Excel, SPSS, Stata, SAS, and SYSTAT formats
  • Concepts are explained using simple language rather than arithmetic formulas and calculations to make the statistical concepts and techniques easily understandable and applicable

Sample Materials & Chapters

Chapter 1

Chapter 11

For instructors

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ISBN: 9781506364308

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