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Research Methods in Public Administration and Nonprofit Management 4th edition [Kõva köide]

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(Pacific Lutheran University, Tacoma, USA)
  • Formaat: Hardback, 552 pages, kõrgus x laius: 254x178 mm, kaal: 453 g, 84 Tables, black and white; 65 Line drawings, black and white; 65 Illustrations, black and white
  • Ilmumisaeg: 07-Sep-2017
  • Kirjastus: Routledge
  • ISBN-10: 1138743798
  • ISBN-13: 9781138743793
Teised raamatud teemal:
Research Methods in Public Administration and Nonprofit Management 4th editionSuurem pilt
  • Formaat: Hardback, 552 pages, kõrgus x laius: 254x178 mm, kaal: 453 g, 84 Tables, black and white; 65 Line drawings, black and white; 65 Illustrations, black and white
  • Ilmumisaeg: 07-Sep-2017
  • Kirjastus: Routledge
  • ISBN-10: 1138743798
  • ISBN-13: 9781138743793
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781138743793.html
Märksõnad:
Now in a thoroughly revised and refreshed fourth edition, Research Methods in Public Administration and Nonprofit Management is beloved by student and professors alike for its exceptional clarity, accessibility, and plentiful illustrations. This new edition integrates quantitative, qualitative, and mixed methods approaches, as well as specific up-to-date instruction in the use of statistical software programs such as Excel and SPSS. Changes to this edition include:A new section, comprised of four new chapters, to explore mixed methods approaches to research, including fundamentals, research design, data collection, and analyzing and interpreting findingsA new, dedicated chapter on Big Data researchAll new exhibits and examples throughout the bookA new companion website to accompany the book containing PowerPoint slides for each chapterNew exhibits, tables, figures, and exercises, as well as key terms and discussion questions at the end of each chapterResearch Methods in Public Administration and Nonprofit Management, 4e is an ideal textbook for use in all research methods courses in undergraduate and graduate Public Administration, Public Affairs, and Nonprofit Management courses.
List of Figures, Tables, and Boxes
xvii
Preface to the Fourth Edition xxiii
Acknowledgments xxv
Introduction xxvii
Public Administration in Society xxvii
Research in the Nonprofit Sector xxix
Getting Started in Research xxx
Purposes for Research xxx
Purpose, Scope, and Structure of the Book xxxi
Summary xxxiv
Part I Research Fundamentals
3(106)
1 Introduction to Research Methods
5(12)
Five Reasons to Develop Research Skills
5(2)
Research the Scientific Way
7(2)
Logic and Reasoning in Research
9(1)
Competing Research Paradigms
10(4)
The Future of Research
14(1)
Summary
15(1)
Key Terms
15(1)
Discussion Questions
16(1)
Additional Reading
16(1)
2 Research Ethics: Doing the Right Thing
17(18)
Malfeasance in Research
17(1)
The Meaning of Ethics
18(1)
Sources of Our Moral Standards
19(1)
When Ethical Dilemmas Occur
20(1)
What Constitutes an Ethical Research Climate?
21(4)
The Ethical Research Process
25(7)
Detecting and Preventing Research Misconduct
32(1)
Summary
33(1)
Key Terms
34(1)
Discussion Questions
34(1)
Additional Reading
34(1)
3 Public Administration Research: Theory and Practice
35(18)
Theory and Practice
35(1)
Positivist Research Approaches
35(5)
Postpositivist Research Approaches
40(6)
Applied Research in Public Administration
46(1)
Public Administration Research Themes
47(4)
Summary
51(1)
Key Terms
51(1)
Discussion Questions
51(1)
Additional Reading
52(1)
4 Research in Nonprofit Organization Management
53(11)
Themes in Nonprofit Research
54(5)
Research in Nonprofits and Public Policy
59(1)
Research in Civil Society
60(1)
Categories of Civil Society Organizations
61(1)
Summary
62(1)
Key Terms
63(1)
Discussion Questions
63(1)
Additional Reading
63(1)
5 The Eight-Step Research Process
64(10)
Design Choices
64(1)
Identify the Research Problem
64(2)
Establish Research Objectives
66(1)
Decide on a Research Strategy
67(1)
Prepare a Research Plan
67(1)
Conduct a Literature Review
68(1)
Gather the Data
68(1)
Analyze and Interpret the Data
69(2)
Prepare and Present Research Findings
71(1)
Summary
72(1)
Key Terms
73(1)
Discussion Questions
73(1)
Additional Reading
73(1)
6 Selecting a Research Topic
74(13)
Identifying a Problem to Study
75(6)
Selecting a Research Focus
81(1)
Where to Find Information About a Topic
82(2)
Traditional Library Research
84(1)
Search Tools
84(1)
Online Databases
85(1)
Summary
85(1)
Key Terms
86(1)
Discussion Questions
86(1)
Additional Reading
86(1)
7 Choosing a Research Design
87(13)
Quantitative Research Designs
88(5)
Qualitative Research Designs
93(4)
Multimethod Research Designs
97(1)
Summary
98(1)
Key Terms
99(1)
Discussion Questions
99(1)
Additional Reading
99(1)
8 How to Write a Research Proposal
100(9)
Components of a Research Proposal
101(5)
Quantitative and Qualitative Proposal Differences
106(1)
Summary
107(1)
Key Terms
108(1)
Discussion Questions
108(1)
Additional Reading
108(1)
Part II Quantitative Research Methods
109(156)
9 Fundamentals of Quantitative Research
111(11)
Measurement Fundamentals
111(3)
Statistics Terms and Concepts
114(2)
How Statistics Improves Communication
116(1)
Statistics in Public Administration
117(3)
Why Knowledge of Statistics Is Important
120(1)
Summary
120(1)
Key Terms
121(1)
Discussion Questions
121(1)
Additional Reading
121(1)
10 Hypothesis Testing Concepts
122(9)
Research Hypotheses Basic Concepts
123(3)
Type I and II Errors
126(1)
Hypothesis Confidence Levels
126(3)
Summary
129(1)
Key Terms
129(1)
Discussion Questions
130(1)
Additional Reading
130(1)
11 Hypothesis Testing Tools
131(13)
Testing for Statistically Significant Differences
132(1)
Two-Group Hypothesis Tests
133(4)
Comparing Three or More Groups With ANOVA
137(5)
Summary
142(1)
Key Terms
142(1)
Discussion Questions
143(1)
Additional Reading
143(1)
12 Introduction to Sampling
144(9)
Why Researchers Use Samples
144(2)
Sampling Methods
146(2)
Avoiding Sample Bias and Sampling Error
148(1)
Determining Sample Size
149(1)
Sample Distributions
150(1)
Summary
151(1)
Key Terms
152(1)
Discussion Questions
152(1)
Additional Reading
152(1)
13 Survey Research: Questions and Questionnaires
153(17)
Research Questionnaire Concepts
153(1)
Major Disadvantages
154(1)
Questionnaire Construction Procedure
155(7)
Writing Survey Questions
162(2)
Developing Survey Scales
164(3)
Summary
167(2)
Key Terms
169(1)
Discussion Questions
169(1)
Additional Reading
169(1)
14 Controlling Error in Survey Research
170(12)
Error in Statistical Surveys
170(1)
The Total Survey Quality Framework
170(3)
Total Survey Error
173(2)
Nonsampling Error Definition
175(1)
Classes of Nonsampling Error
176(4)
Summary
180(1)
Key Terms
181(1)
Discussion Questions
181(1)
Additional Reading
181(1)
15 Summarizing Data With Descriptive Statistics
182(14)
Converting Raw Data to Statistics
182(1)
Summary Statistics
182(2)
Measures of Central Tendency
184(3)
Measures of Variability
187(2)
Measures of Relative Position
189(2)
Measures of Relationship
191(1)
Additional Information About Distributions
192(1)
Calculating Descriptive Statistics With Microsoft® Excel
193(1)
Summary
194(1)
Key Terms
195(1)
Discussion Questions
195(1)
Additional Reading
195(1)
16 Measuring Relationships With Correlation and Regression
196(11)
Correlation and Covariance
197(2)
Link Between Correlation and Regression
199(1)
Interpretation
200(1)
Calculating and Interpreting Correlation Values
200(1)
Fundamentals of Regression Analysis
201(4)
Summary
205(1)
Key Terms
206(1)
Discussion Questions
206(1)
Additional Reading
206(1)
17 Introduction to Experimental Design
207(10)
Key Considerations in Experimental Design
208(3)
Types of Experimental Designs
211(4)
Summary
215(1)
Key Terms
216(1)
Discussion Questions
216(1)
Additional Reading
216(1)
18 Introduction to Nonparametric Statistics
217(16)
Basic Assumptions of Nonparametric Statistics
217(1)
Nonparametric Versions of Parametric Tests
218(10)
Nonparametric Relationship Tests
228(3)
Summary
231(1)
Key Terms
232(1)
Discussion Questions
232(1)
Additional Reading
232(1)
19 Exploring Multivariate Statistics
233(18)
Regression Analysis Variables Reminder
233(4)
Multiple Regression Analysis
237(2)
Multiple Logit and Probit Regression
239(3)
Predicting With Discriminant Analysis
242(4)
Exploring Relationships With Cluster Analysis
246(2)
Summary
248(2)
Key Terms
250(1)
Discussion Questions
250(1)
Additional Reading
250(1)
20 Researching With Very Large Data Sets
251(14)
Fundamentals of Big Data Research
251(3)
Public-Sector Big Data Research
254(3)
Big Data Statistical Analysis Models
257(4)
Big Data Statistical Analytical Tools
261(1)
Summary
262(1)
Key Terms
263(1)
Discussion Questions
263(1)
Additional Reading
263(2)
Part III Qualitative Research Methods
265(148)
21 Introduction to Qualitative Research
267(15)
Classes of Qualitative Research Designs
269(4)
Qualitative Research as a New Paradigm
273(1)
Major Qualitative Research Designs
274(4)
Collecting, Analyzing, and Interpreting Qualitative Data
278(1)
Research Using Projective Techniques
279(1)
Summary
280(1)
Key Terms
281(1)
Discussion Questions
281(1)
Additional Reading
281(1)
22 Research Using Case Study Designs
282(15)
Defining the Case Study Approach
282(1)
When the Case Study Approach Is Appropriate
283(1)
Case Study Designs
284(2)
Steps in the Case Study Method
286(6)
Guidelines for Preparing Case Studies
292(1)
Summary
293(1)
Key Terms
294(1)
Discussion Questions
294(1)
Case Studies
295(1)
Additional Reading
296(1)
23 Research Using Grounded Theory Designs
297(17)
Beginnings of the Grounded Theory Approach
297(2)
Approaches to Grounded Theory
299(2)
Stages of Grounded Theory Research
301(6)
Grounded Theory Research in Practice
307(3)
Summary
310(1)
Key Terms
311(1)
Discussion Questions
311(1)
Case Studies
311(2)
Additional Reading
313(1)
24 Research Using Ethnographic Designs
314(19)
Brief History of Ethnography
314(3)
Modern Ethnographic Research
317(6)
Ethnographic Fieldwork
323(1)
Ethnography in Public Administration Research
324(3)
Ethnographic Research on Volunteerism
327(1)
Researching Organization Culture
327(2)
Summary
329(1)
Key Terms
329(1)
Discussion Questions
330(1)
Ethnographic Case Studies
330(2)
Additional Reading
332(1)
25 Critical Research: Empowerment and Emancipatory Designs
333(10)
Emancipatory Research
334(2)
Empowerment Research
336(4)
Summary
340(1)
Key Terms
341(1)
Discussion Questions
341(1)
Case Studies
341(1)
Additional Reading
342(1)
26 Critical Research: Action Research Designs
343(12)
Critical Research History
343(1)
Models of Action Research
344(3)
Applying Action Research
347(2)
Themes in Action Research
349(1)
Phases of Planned Change
349(3)
Goals of Action Research
352(1)
Summary
352(1)
Key Terms
353(1)
Discussion Questions
353(1)
Case Studies
353(1)
Additional Reading
354(1)
27 Research Using Feminist Research Designs
355(10)
Research for Women by Women
355(1)
Feminist Research Focus
356(1)
Feminist Research Principles
357(1)
Feminist Research Methods
358(4)
Summary
362(1)
Key Terms
363(1)
Discussion Questions
363(1)
Case Study
363(1)
Additional Reading
364(1)
28 Hermeneutic Research Designs
365(10)
The Hermeneutic Approach and Interpretisim
365(1)
Principles of Hermeneutics
366(1)
Origins of the Hermeneutic Approach
366(1)
Meaning and Emphasis in Hermeneutics
367(1)
The Hermeneutic Analysis Method
367(3)
Hermeneutic Understanding of Stories
370(2)
Hermeneutic Analysis of Nontextual Material
372(1)
Summary
373(1)
Key Terms
373(1)
Discussion Questions
374(1)
Additional Reading
374(1)
29 Research Using Library and Archival Resources
375(11)
Analysis of Texts as Data
376(1)
Conducting the Literature Review
377(2)
Researching Archival Data
379(1)
Activities of Archivists
380(2)
Narrative and Discourse Analysis
382(2)
Summary
384(1)
Key Terms
385(1)
Discussion Questions
385(1)
Additional Reading
385(1)
30 Content, Narrative, Meta-Analysis, and Semiotic Research Designs
386(14)
Content Analysis Research
386(2)
Narrative and Discourse Research
388(2)
Meta-Analysis Research Designs
390(5)
Semiotics: Analyzing Signs and Symbols
395(1)
Researching Material Culture and Artifacts
396(2)
Summary
398(1)
Key Terms
399(1)
Discussion Questions
399(1)
Additional Reading
399(1)
31 Analyzing Qualitative Data
400(13)
Qualitative Data: Form and Substance
400(2)
Bringing Order to Qualitative Data
402(4)
An Alternative Analysis Process
406(3)
Computer Analysis of Qualitative Data
409(2)
Reporting Qualitative Research Results
411(1)
Summary
411(1)
Key Terms
412(1)
Discussion Questions
412(1)
Additional Reading
412(1)
Part IV Mixed-Methods Research
413(26)
32 Introduction to Mixed-Methods Research
415(11)
Defining Mixed-Methods Research
416(1)
Guidelines for Choosing a Mixed Design
417(6)
Mixed-Methods Fieldwork
423(1)
Summary
424(1)
Key Terms
425(1)
Discussion Questions
425(1)
Additional Reading
425(1)
33 Research With Mixed-Methods Designs
426(13)
Core Mixed-Methods Options
426(1)
Mixed-Methods Research Objectives
426(3)
Sequence Variations for Mixed-Methods Designs
429(1)
Analysis Emphases
430(1)
Mixed-Methods Designs in Action
431(2)
Integrating and Interpreting Mixed-Methods Data
433(2)
Mixed-Methods Design Examples
435(2)
Summary
437(1)
Key Terms
437(1)
Discussion Questions
438(1)
Additional Reading
438(1)
Part V Preparing and Presenting Research Findings
439(58)
34 Developing Tables, Charts, and Graphs
441(15)
Making Sense Out of Ungrouped or "Raw" Data
441(6)
Building Stem-and-Leaf Diagrams
447(2)
Communicating With Charts and Graphs
449(4)
Final Reminder About Graphics
453(1)
Summary
454(1)
Key Terms
454(1)
Discussion Questions
455(1)
Additional Reading
455(1)
35 Introduction to Statistical Software
456(18)
Using Statistical Software
456(6)
SPSS® Data Fundamentals
462(4)
Putting SPSS® to Work
466(5)
Summary
471(1)
Key Terms
472(1)
Discussion Questions
472(1)
Additional Reading
473(1)
36 Writing the Research Report
474(23)
Structuring the Research Report
474(1)
Sections of the Final Report
475(9)
Style and Format in Research Writing
484(2)
Major Bibliographic Styles
486(7)
Style Requirements for Public Administration Research Reports
493(2)
Summary
495(1)
Additional Reading
495(2)
Glossary 497(6)
Bibliography 503(22)
Author Index 525(4)
Subject Index 529(14)
About the Author 543
David E. McNabb is Professor Emeritus at Pacific Lutheran University in Washington, USA and has taught at Oregon State University, the Stockholm School of Economics Riga, the American University of Bulgaria, Evergreen State College, the University of Maryland-UC (Europe), and the University of Washington Tacoma. He is an adjunct professor at Olympic College and a recent member of a consultant group on aspects of non-sampling errors in surveys for an agency of the federal government. Dr. McNabb has served as Director of Communications for a caucus of the Washington House of Representatives and as Director of Economic Development for the city of Fullerton, California. He has authored ten books and more than one hundred articles and conference papers.