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Test Bank For Essential Statistics for Public Managers and Policy Analysts 4th Edition By Berman

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Test Bank For Essential Statistics for Public Managers and Policy Analysts 4th Edition By Evan Berman, Xiaohu Wang, ISBN: 9781506364315, ISBN: 9781506373669

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Test Bank For Essential Statistics for Public Managers and Policy Analysts 4th Edition By Berman

Test Bank For Essential Statistics for Public Managers and Policy Analysts 4th Edition By Evan Berman, Xiaohu Wang, ISBN: 9781506364315, ISBN: 9781506373669

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.

Table Of Content

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