
Public Administration Research Methods
Tools for Evaluation and Evidence-Based Practice
Routledge (Publisher)
Published on 11. April 2013
Book
Paperback/Softback
436 pages
978-0-415-89530-9 (ISBN)
Description
Students intending to manage public organizations - ranging from local city offices to nonprofit organizations to many other types of organizations - have a specific set of needs from a methods course. These individuals will need exposure to a wide range of research tools and sufficient comprehension of these tools to read the results of research critically. Increasingly, managers are also finding it necessary to conduct their own research to address their organization's needs - that is, practicing evidence-based management. Research Methods for Evidence-Based Public Management address the needs of these practice-oriented students for a toolbox of public management research.
Eller, Gerber, and Robinson guide the reader through critical issues such as the research process itself, by presenting intuitive explanations of difficult concepts, and by explaining not only techniques of qualitative research, but how qualitative data can be analyzed properly and how those data relate to quantitative data gathering and analytic techniques. Students can expect to come away from reading this text with a clear understanding of how qualitative and quantitative analysis can be explicitly tied to evidence-based public management decision-making. The text will develop a small number of detailed, reoccurring cases across chapters to provide students with a continuing stream of familiar examples to illustrate the practical enactment of the skills developed within the textbook.
Eller, Gerber, and Robinson guide the reader through critical issues such as the research process itself, by presenting intuitive explanations of difficult concepts, and by explaining not only techniques of qualitative research, but how qualitative data can be analyzed properly and how those data relate to quantitative data gathering and analytic techniques. Students can expect to come away from reading this text with a clear understanding of how qualitative and quantitative analysis can be explicitly tied to evidence-based public management decision-making. The text will develop a small number of detailed, reoccurring cases across chapters to provide students with a continuing stream of familiar examples to illustrate the practical enactment of the skills developed within the textbook.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
45 farbige Tabellen, 57 farbige Zeichnungen
45 Tables, color; 57 Line drawings, color
Dimensions
Height: 229 mm
Width: 178 mm
Thickness: 18 mm
Weight
699 gr
ISBN-13
978-0-415-89530-9 (9780415895309)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Scott E. Robinson is Associate Professor at the Bush School of Government and Public Service at Texas A&M University, USA
Warren S. Eller is Associate Professor in the Department of Public Administration at University of North Carolina, Pembroke, USA
Brian J. Gerber is Associate Professor at the Public Administration Institute at Louisiana State University, USA
Warren S. Eller is Associate Professor in the Department of Public Administration at University of North Carolina, Pembroke, USA
Brian J. Gerber is Associate Professor at the Public Administration Institute at Louisiana State University, USA
Author
West Virginia University USA
Arizona State University USA
University of Oklahoma USA
Content
Section 1: Research Fundamentals 1. Introduction - What is Research? 2. Evidence Based Public Management 3. The Research Process and Strategies 4. Conducting Preliminary Research 5. Research Design 6. Measurement 7. Sampling and Case Selection Section 2: Data Collection Strategies 8. Interviews 9. Field Research 10. Surveys 11. Institutional Data: Budgets and Program Data Section 3: Data Analysis 12. Analysis of Small Data Samples: Coding and Data Display 13. Analysis of Small Data Samples: Grounded Theory 14. Analysis of Large Samples: Descriptive Statistics 15. Introduction to Probability and Hypothesis Testing 16. Measures of Association and Correlation 17. Analysis of Large Samples: Multivariate Relationship 18. Mixing Research Strategies Section 4: Data Presentation and Management 19. Fundamentals of Data Presentation 20. Managing Research