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Meta-Analysis for Public Management and Policy

  • ID: 2216133
  • Book
  • 592 Pages
  • John Wiley and Sons Ltd
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Meta–Analysis for Public Management and Policy is a groundbreaking book that includes a proven set of tools for making sense of mountains of sometimes inconsistent conclusions from original research. The tools of meta–analysis can help to improve scholarship, ensure more accurate tests of theories, provide clearer and more authoritative advice for policy and management, and ultimately contribute to the wider knowledge base of public management and policy and the social sciences more broadly.

This important resource contains an in–depth explanation of the six–stage process for conducting a meta–analysis which consists of Scoping, Literature Search, Data Coding, Calculating and Combining Effect Sizes, Explaining Differences in Effect Sizes Across Original Studies, and Identifying Areas for Further Research. The text includes detailed explanations of the statistical approaches to meta–analysis that have been found to be most useful to researchers and practitioners in public management and policy, and offers four original meta–analyses of school vouchers, performance measurement, public housing decentralization, and public service motivation. These original studies (conducted by the author and his team) offer step–by–step templates for how to conduct a meta–analysis while also contributing original research on important issues in public management and policy.

Meta–Analysis for Public Management and Policy is the hands–on resource that can help students and professionals improve the quality and the relevance of research in public management and policy.

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Figures, Tables, and Exhibit ix

Preface xv

The Authors xxi

Introducing: Meta–Analysis for Public Management and Policy 1Evan J. Ringquist and Mary R. Anderson

Introducing Meta–Analysis 4

The Institutionalization of Meta–Analysis 5

A Role for Meta–Analysis in Public Management and Policy 9

Meta–Analysis: Understanding the Basics 17

Adapting Meta–Analysis for Public Management and Policy 31

Conclusion 34


1 Conceptualizing Research and Gathering Studies 39Evan J. Ringquist

Conceptualizing a Meta–Analysis 40

Conducting a Literature Search in Meta–Analysis 50

Conclusion 66

2 Turning Studies into Data 68Evan J. Ringquist

What to Code 70

The Process of Coding 85

Conclusion 97

3 Calculating and Combining Effect Sizes 102Evan J. Ringquist

Calculating Effect Sizes 103

Fixed Effects and Random Effects Meta–Analysis 118

Combining Effect Sizes 124

Conclusion 137

4 Meta–Regression Analysis 141Evan J. Ringquist

Historical Development of Meta–Regression 142

Designing a Meta–Regression 144

Fixed Effects Meta–Regression 151

Random EffectsMeta–Regression 171

Conclusion 189

5 Advanced Meta–Regression for Public Management and Policy 191Evan J. Ringquist

Clustered Robust Estimation in Meta–Regression 193

Alternatives for Addressing Dependence in Meta–Regression 207

Conclusion 229

6 PublicationBias 231Evan J. Ringquist

Sources and Consequences of Publication Bias 232

Identifying Publication Bias 238

Remedying and Preventing Publication Bias 253

Conclusion 266

7 Meta–Analysis in Economics 268Evan J. Ringquist

The FAT–MST–PET–MRA Approach to Meta–Regression 269

Assessing the FAT as a Test for Publication Bias 272

Identifying True Effects Using the MST 291

Estimating the Magnitude of True Effects Using the PET 292

Conclusion 307


8 Evaluating the Effectiveness of Educational Vouchers 311Mary R. Anderson, Tatyana Guzman and Evan J. RingquistSchool Choice and Educational Vouchers 312

The Effectiveness of Educational Vouchers 318

Designing a Meta–Analysis of Voucher Effects 324

Searching the Literature 331

Data Analysis: Synthesis 335

Meta–Regression Analysis 339

Conclusion 348

Studies Coded for Meta–Analysis 349

9 Performance Management in the Public Sector 352Ed Gerrish and Po–Ju Wu

Origin of Performance Management 354

Performance Management in the Literature 359

Literature Search 368

Data Analysis: Synthesis 372

Meta–Analytic Regression Analysis 379

Conclusion 390

Studies Coded for Meta–Analysis 393

Addendum: StratifiedMeta–Regression of Compstat and Compstat–Like Programs 394

10 The Effects of Federal Poverty Deconcentration Efforts on Economic Self–Sufficiency and Problematic Behaviors 398Joe Bolinger and Lanlan Xu

History of Poverty Deconcentration Programs in the United States 399

Theoretical Foundations of Poverty Deconcentration Policies 402

Impacts of Poverty Deconcentration Policies on Individual Economic and Behavioral Life Outcomes 408

Literature Search 413

Analysis 416

Meta–Regression Analysis 426

Conclusion 436

Studies Coded for Meta–Analysis 439

11 The Relationship Between Public Service Motivation and Performance 442David C. Warren and Li–Ting Chen

The Importance of a Possible PSM–Performance Relationship 443

Theoretical Foundations of the PSM–Performance Relationship 444

Framing the Meta–Analysis of the PSM–Performance Relationship 447

Data Analysis 455

Meta–Regression Analysis 462

Conclusion 468

Studies Coded for Meta–Analysis 473

Conclusion: Meta–Analysis and the Future of Research in Public Management and Policy 475Mary R. Anderson and Evan J. Ringquist

Why Meta–Analysis? 478

Why Meta–Analysis Now? 480

Meta–Analysis for Public Management and Policy: An Adaptation 481

A World of Possibilities: The Future of Meta–Analysis in Public Management and Policy 484

Appendix: Coding Sheets 487

A1: School Vouchers 488

A2: Performance Management 494

A3: Public Housing 502

A4: Public Service Motivation 508

References 514

Name Index 543

Subject Index 549

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Evan Ringquist
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