Essential Statistics for Public Managers and Policy Analysts / Edition 3 by Evan M Berman, Xiaohu Wang | | 9781608716777 | Paperback | Barnes & Noble
Essential Statistics for Public Managers and Policy Analysts / Edition 3

Essential Statistics for Public Managers and Policy Analysts / Edition 3

5.0 1
by Evan M Berman, Xiaohu Wang
     
 

ISBN-10: 1608716775

ISBN-13: 9781608716777

Pub. Date: 11/22/2011

Publisher: Congressional Quarterly, Inc

This tightly integrated set -- textbook, workbook and CD-ROM, all blended seamlessly -- presents the basic analytics tools utilized by today's public managers and policy analysts. Tailored specifically to the needs of students in public administration and public policy programs, Essential Statistics introduces and reinforces important statistical skills that

Overview

This tightly integrated set -- textbook, workbook and CD-ROM, all blended seamlessly -- presents the basic analytics tools utilized by today's public managers and policy analysts. Tailored specifically to the needs of students in public administration and public policy programs, Essential Statistics introduces and reinforces important statistical skills that will be immediately relevant to them.

Essential Statistics includes:

  • clear and concise discussions of statistical concepts and applications, from basic descriptive techniques to more advanced analytical tools.
  • learning objectives and key term lists that frame each chapter for quick and easy reference.
  • multiple tables, figures, and boxes to reinforce important concepts and enhance skill acquisition.

Exercising Essential Statistics includes:

  • critical thinking questions, data-based and research in practice exercises, helpful tips on data presentation, and suggested reading lists that correspond with coverage of each textbook chapter.
  • two software guides -- "How to Use SPSS" and "Guide to Using Spreadsheets" -- that capitalize on the increased value of computers in methods courses. Freeing students from time-consuming calculations, these real-world applications allow for quick results interpretation and data validation.
  • perforated and spiral-bound pages for maximum flexibility.

CD-ROM includes:

  • six SPSS data sets that cover a range of measures and applications from citizen and employee survey data, to time series data of juvenile crimes, to an assessment of watersheds developed by the EPA, to regression analysis of pollution, productivity improvement, and crime.
  • Eleven spreadsheets that highlight practical ways to conduct data analysis with Excel.
  • Data sets in alternate formats -- SAS, SYSTAT, and STATA -- to help expose your students to a range of statistical software packages.

Product Details

ISBN-13:
9781608716777
Publisher:
Congressional Quarterly, Inc
Publication date:
11/22/2011
Edition description:
New Edition
Pages:
392
Sales rank:
220,891
Product dimensions:
5.90(w) x 8.90(h) x 0.70(d)

Table of Contents

Tables, Figures, and Boxes xii

Preface xvi

Statistics Roadmap xx

Section I Introduction 1

Chapter 1 Why Statistics for Public Managers and Analysts? 4

Chapter Objectives 4

Role of Data in Public Management 4

Competency and Proficiency 6

Ethics in Data Analysis and Research 10

Summary 14

Key Terms 15

Section II Research Methods 17

Chapter 2 Research Design 21

Chapter Objectives 21

Introducing Variables and Their Relationships 21

Program Evaluation 26

Six Steps 28

Rival Hypotheses and Limitations of Experimental Study Designs 30

Quasi-Experimental Designs in Program Evaluation 32

Summary 39

Key Terms 40

Chapter 3 Conceptualization and Measurement 43

Chapter Objectives 43

Measurement Levels and Scales 43

Conceptualization 48

Operationalization 50

Index Variables 53

Measurement Validity 55

Summary 57

Key Terms 58

Chapter 4 Measuring and Managing Performance: Present and Future 61

Chapter Objectives 61

Performance Measurement 62

The Logic Model 63

Further Examples 67

Efficiency, Effectiveness, and a Bit More 69

Managing Performance 73

Peering into the Future: Forecasting 75

Summary 78

Key Terms 78

Chapter 5 Data Collection 80

Chapter Objectives 80

Sources of Data 81

Administrative Data 81

Secondary Data 83

Surveys 85

Other Sources 89

Sampling 90

When Is a Sample Needed? 90

How Should Samples Be Selected? 91

How Large Should the Sample Be? 92

Data Input 94

Putting It Together 98

Summary 100

Key Terms 101

Section III Descriptive Statistics 103

Chapter 6 Central Tendency 105

Chapter Objectives 105

The Mean 106

The Median 109

The Mode 112

Summary 112

Key Terms 113

Appendix 6.1: Using Grouped Data 113

Chapter 7 Measures of Dispersion 117

Chapter Objectives 117

Frequency Distributions 118

Standard Deviation 122

Definition 122

Some Applications of Standard Deviation 124

Summary 128

Key Terms 129

Appendix 7.1: Boxplots 129

Chapter 8 Contingency Tables 134

Chapter Objectives 134

Contingency Tables 135

Relationship and Direction 138

Pivot Tables 141

Summary 144

Key Terms 146

Chapter 9 Getting Results 148

Chapter Objectives 148

Analysis of Outputs and Outcomes 149

Analysis of Efficiency and Effectiveness 152

Analysis of Equity 154

Quality-of-Life Analysis 155

Some Cautions in Analysis and Presentation 157

The Use of Multiple Measures 157

Treatment of Missing Values 159

Summary 161

Key Terms 162

Section IV Inferential Statistics 163

Chapter 10 Hypothesis Testing with Chi-Square 166

Chapter Objectives 166

What Is Chi-Square? 167

Hypothesis Testing 169

The Null Hypothesis 170

Statistical Significance 171

The Five Steps of Hypothesis Testing 174

Chi-Square Test Assumptions 177

Statistical Significance and Sample Size 178

A Nonparametric Alternative 181

Summary 182

Key Terms 183

Appendix 10.1: Rival Hypotheses: Adding a Control Variable 183

Chapter 11 Measures of Association 188

Chapter Objectives 188

Three New Concepts 189

PRE: The Strength of Relationships 189

Paired Cases: The Direction of Relationships 190

Dependent Samples 191

PRE Alternatives to Chi-Square 192

Beating the Standard? The Goodness-of-Fit Test 195

Discrimination and Other Tests 197

Do the Evaluators Agree? 199

Summary 201

Key Terms 202

Chapter 12 The T-Test 205

Chapter Objectives 205

T-Tests for Independent Samples 206

T-Test Assumptions 208

Working Example 1 212

Working Example 2 214

Two T-Test Variations 217

Paired-Samples T-Test 217

One-Sample T-Test 218

Nonparametric Alternatives to T-Tests 219

Summary 221

Key Terms 222

Chapter 13 Analysis of Variance (ANOVA) 226

Chapter Objectives 226

Analysis of Variance 227

ANOVA Assumptions 229

A Working Example 230

Beyond One-Way ANOVA 234

A Nonparametric Alternative 235

Summary 236

Key Terms 237

Chapter 14 Simple Regression 239

Chapter Objectives 239

Simple Regression 240

Scatterplot 240

Test of Significance 241

Assumptions and Notation 244

Pearson's Correlation Coefficient 245

Spearman's Rank Correlation Coefficient 256

Summary 249

Key Terms 249

Chapter 15 Multiple Regression 252

Chapter Objectives 252

Model Specification 253

A Working Example 256

Further Statistics 259

Goodness of Fit for Multiple Regression 259

Standardized Coefficients 259

F-Test 260

Use of Nominal variables 261

Testing Assumptions 263

Outliers 263

Multicollinearity 265

Linearity 266

Heteroscedasticity 267

Autocorrelation 268

Measurement and Specification 270

Summary 273

Key Terms 273

Section V Further Statistics 277

Chapter 16 Logistic Regression 279

Chapter Objectives 279

The Logistic Model 280

A Working Example 281

Calculating Event Probabilities 283

Summary 286

Key Terms 286

Chapter 17 Time Series Analysis 287

Chapter Objectives 287

Time Series Data in Multiple Regression 288

Autocorrelation 288

Correcting Autocorrelation 290

Policy Evaluation 291

Lagged Variables 293

Statistical Forecasting Methods: A Primer 294

Regression-Based Forecasting 297

Forecasting with Leading Indicators 298

Curve Estimation 298

Exponential Smoothing 299

ARIMA 300

Non-Regression-Based Forecasting with Few Observations 301

Forecasting with Periodic Effects 304

Summary 306

Key Terms 306

Chapter 18 Survey of Other Techniques 309

Chapter Objectives 309

Path Analysis 309

Beyond Path Analysis 313

Survival Analysis 314

Beyond Life Tables 315

Factor Analysis 316

Beyond Factor Analysis 317

Summary 320

Key Terms 320

Appendix: Statistical Tables 323

A Normal Distribution 324

B Chi-Square Distribution 325

C T-Test Distribution 326

D Durbin-Watson Distribution 328

E F-Test Distribution 329

Glossary 333

Index 349

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