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E-raamat: Practice of Survey Research: Theory and Applications

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 29-Apr-2015
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781483311654
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Practice of Survey Research: Theory and ApplicationsSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 29-Apr-2015
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781483311654
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Citing survey research as one of the most utilized methods in the social sciences, Ruel, Wagne, and Gillespie provide a comprehensive survey research book that incorporates survey design, survey implementation, data management, and data analysis, and is based in sociological research. They provide examples of survey expertise for both graduate students and advanced undergraduate students. It can function as a supplement to a research methods course or can be used by itself as a text in a survey course. Each chapter ends with conclusions, key terms, and critical thinking questions. Sixteen chapters with epilogue are divided into four sections: decisions to make before conducting the survey; questionnaire design; implementing a survey; post-survey data management and analysis. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)

Unique in its integration of theory and application, The Practice of Survey Research explains survey design, implementation, data analysis, and continuing data management, including how to effectively incorporate the latest technology (e.g., SurveyMonkey and Qualtrics). Data management and analysis are demonstrated and explained through statistical software including SPSS, SAS, and STATA. In addition to helping students develop a complete understanding of survey research from start to finish, authors Erin E. Ruel, William E. Wagner, III, and Brian Joseph Gillespie also address the challenges and issues of specific disciplines.



Focusing on the use of technology in survey research, this book integrates both theory and application and covers important elements of survey research including survey design, implementation and continuing data management.

Arvustused

"Other survey research texts read as a dry report of what survey research is. This text reads as a personable text that walks the novice researcher through the survey research process, including all of the details considered by a seasoned survey researcher." -- Carol A. Angell, University of Wisconsin-La Crosse "[ T]he book is organized in a very strategic and hands-on manner that will train students to think, plan, and implement a project like an experienced social scientific scholar using survey methods." -- Kenneth C. Yang, University of Texas at El Paso "The text is very well written, clear and easy to understand. It highlights main concerns throughout the survey research process." -- Silvia K. Bartolic, University of British Columbia "This textbook covers all of the important topics in survey research and does so at a level appropriate for advanced undergraduates." -- Richard E. Adams, Kent State University

Preface xv
Acknowledgments xvii
About the Authors xix
Section I: Decisions To Make Before Conducting The Survey 1(10)
Chapter 1 Introduction to Survey Research
2(9)
What is Survey Research?
2(1)
Brainstorming Can you think of other things that are not called surveys but in fact are surveys?
3(1)
How Do You Know if a Survey is Good?
3(1)
Surveys About Teachers: Are They Good Teachers?
4(3)
Applications of Survey Research
7(1)
Technology and Survey Research
8(1)
The Ethics of Survey Research
8(1)
Key Decisions in Survey Research: What's Ahead
8(5)
Section I Decisions to Make Before Conducting the Survey
9(1)
Section II Questionnaire Design
9(1)
Section III Implementing a Survey
9(1)
Section IV Postsurvey Data Management and Analysis
10(1)
Section II: Questionnaire Design 11(110)
Chapter 2 Types of Surveys
13(12)
Introduction
13(1)
Omnibus Surveys
14(2)
Administration
16(1)
Cost
16(1)
Accessibility
16(1)
Importance of Proper Training of Interviewers
17(1)
Types of Surveys
18(5)
Mail Surveys
18(1)
Face-to-Face or Group Interviews
19(1)
Telephone Surveys
19(1)
The Role of Technology in the Type and Delivery of Surveys
19(2)
The Use of the Internet to Facilitate Survey Administration
21(1)
Multimode Surveys
22(1)
Determining the Type of Survey
22(1)
Conclusion
23(1)
Key Terms
24(1)
Critical Thinking Questions
24(1)
Chapter 3 The Cover Letter and Survey Instrument
25(19)
Introduction
25(1)
The Cover Letter
25(6)
Reducing Attrition
29(1)
Keeping Track and Following Up
29(2)
The Survey Instrument
31(1)
Respondent Burden and Fatigue
31(1)
Welcome Message and Introduction
32(1)
Organization and Question Sequence
33(5)
Question Order
34(1)
Order of Response Options
35(1)
Advanced Logic
35(1)
Contingency Questions
35(1)
Screener Questions
36(1)
Concluding the Survey
37(1)
Appearance, Formatting, and Design
38(4)
General Concerns
38(1)
Designing Web-Based Surveys
39(2)
Designing Pen-and-Paper Surveys
41(1)
Checklist
42(1)
Key Terms
43(1)
Critical Thinking Questions
43(1)
Chapter 4 Survey Question Construction
44(34)
Introduction
44(1)
Concept Measurement: Traits, Assessments, and Sentiments
45(2)
Simple Concepts
45(1)
Complex Concepts
46(1)
Question Development
47(9)
Guidelines for Developing Questions
47(9)
Responses to Questions
56(8)
Types of Responses
56(1)
Closed-Ended Questions
56(1)
Strengths of Closed-Ended Questions
57(1)
Types of Closed-Ended Questions
57(3)
Important Guidelines for Categorization Scheme Development
60(4)
Level of Measurement
64(3)
Open-Ended Questions
67(2)
Strengths of Open-Ended Questions
68(1)
Guidelines for Open-Ended Questions
68(1)
Comparative Concepts (Vignettes)
69(1)
Important Guidelines for Vignettes
69(1)
Sample Vignette
70(1)
Retrospective and Prospective Questions
70(2)
Updating Time-Specific Surveys and Multilanguage Surveys
72(1)
Multilingual and Cross-Comparative Survey Projects
72(1)
Measurement Error
73(3)
Primary Types of Systematic Survey Error
74(1)
Strategies to Minimize Error
75(1)
Checklist
76(1)
Key Terms
77(1)
Critical Thinking Questions
77(1)
Chapter 5 The Quality of Measurement: Reliability and Validity
78(23)
Introduction
78(1)
Reliability
79(9)
Correlation
80(1)
Types of Reliability and Estimation
81(5)
Improving Reliability
86(2)
Validity
88(10)
Measurement Validity
88(1)
Types of Measurement Validity
89(5)
Improving Measurement Validity
94(1)
Internal Validity
95(1)
External Validity
95(2)
Other Validity Issues
97(1)
Conclusion
98(1)
Key Terms
99(1)
Critical Thinking Questions
99(2)
Chapter 6 Pretesting and Pilot Testing
101(20)
Introduction
101(1)
Pretesting
101(13)
Expert-Driven Pretests
103(1)
Respondent-Driven Pretests
104(1)
Collecting Pretest Data
105(2)
Important Issues to Identify in Pretests
107(5)
Other Pretesting Issues
112(1)
Updating Time-Speafic Surveys and Multilanguage Surveys
113(1)
Pretesting Checklist
113(1)
Pilot Testing
114(2)
Necessary Resources
115(1)
Trained Surveyors/Interviewers
115(1)
Administration Procedures
115(1)
Recruitment Approaches
116(1)
Data Analysis
116(1)
Pretest and Pilot Test Limitations
116(2)
Conclusion
118(1)
Key Terms
118(1)
Critical Thinking Questions
118(3)
Section III: Implementing A Survey 121(72)
Chapter 7 Selecting a Sample: Probability Sampling
123(26)
Introduction
123(1)
Sampling Terminology
124(5)
Sampling Theory
129(4)
Probability Sampling Techniques
133(11)
Simple Random Sampling
134(1)
Systematic Random Sampling
134(3)
Stratified Random Sampling
137(5)
Cluster Sampling
142(1)
Multistage Cluster Sampling
143(1)
Power Analysis for Selecting Sample Sizes
144(2)
Conclusion
146(1)
Key Terms
147(1)
Critical Thinking Questions
148(1)
Chapter 8 Nonprobability Sampling and Sampling Hard-to-Find Populations
149(11)
Introduction
149(1)
Convenience Sampling
150(1)
Quota Sampling
150(2)
Purposive Sampling
152(1)
Sampling Hard-to-Find Populations
152(5)
Snowball Sampling
153(2)
Respondent-Driven Sampling
155(2)
Ethics Corner
157(1)
Conclusion
158(1)
Key Terms
158(1)
Critical Thinking Questions
159(1)
Chapter 9 Improving Response Rates and Retention
160(12)
Introduction
160(1)
Response Rates and Nonresponse Errors
161(2)
Calculating Response Rates
161(1)
Calculating Nonresponse Rates
162(1)
Nonresponse Bias
163(2)
Attrition in Panel Studies
165(1)
Methods to Increase Participant Contact and Cooperation
165(4)
Contact
165(1)
Gaining Cooperation
166(2)
Retention of Participation in Longitudinal Studies
168(1)
An Example: The Wisconsin Longitudinal Study
169(1)
Ethics Corner
170(1)
Conclusion
171(1)
Key Terms
171(1)
Critical Thinking Questions
171(1)
Chapter 10 Technologies to Develop and Implement Surveys
172(9)
Introduction
172(1)
Mail Survey Administration
172(1)
Computer-Assisted Interviewing
173(3)
Choosing the Right Hardware and Software
174(1)
Web-Based Surveys
175(1)
Postsurvey Data Entry and Data Cleaning Technology
176(1)
Contracting With a Research Center to Conduct the Survey
177(2)
Ethics Corner
179(1)
Conclusion
180(1)
Key Terms
180(1)
Critical Thinking Questions
180(1)
Chapter 11 Data Collection
181(12)
Introduction
181(1)
The Self-Administered Cross-Sectional Mailed Survey
181(1)
Auditing the Data Collection Process
182(3)
The Self-Administered Longitudinal Panel Mailed Survey
185(1)
Interviewer-Administered Surveys
186(2)
Self-Administered Web Surveys
188(1)
Comparing Survey Types
189(1)
Data Storage Needs
189(1)
Ethics Corner
190(1)
Conclusion
191(1)
Key Terms
192(1)
Critical Thinking Questions
192(1)
Section IV: Postsurvey Data Management And Analysis 193(120)
Chapter 12 Data Entry
195(13)
Introduction
195(1)
Data Entry
196(6)
Unique Identyler
197(1)
Variable Naming Conventions
197(2)
Missing Data Codes
199(1)
Entering Responses From Atypical Questions
200(2)
The Coding Process
202(2)
The Reliability Process
204(2)
Documentation
206(1)
Ethics Corner
206(1)
Conclusion
206(1)
Key Terms
207(1)
Critical Thinking Questions
207(1)
Chapter 13 Data Cleaning
208(30)
Introduction
208(1)
Simple Cross-Sectional Data Cleaning
209(3)
Cosmetic Cleaning
212(9)
Variable Labels
212(1)
Response Category Values
212(1)
Formatting Variables
213(5)
Missing Values
218(3)
Skip Patterns
221(2)
Multiple-Response, Other-Specify, and Open-Ended Questions
223(2)
Cleaning for Diagnostics
225(3)
Variation
226(1)
Finding Bad Data Through Scale Items
226(2)
Interviewer Effects and Mode Effects
228(2)
Cleaning Longitudinal Data
230(2)
Consistency in Coding
230(1)
Attrition
231(1)
The Codebook
232(1)
Conclusion
233(1)
Syntax for Analyses Described in This
Chapter
234(2)
Key Terms
236(1)
Critical Thinking Questions
237(1)
Chapter 14 Data Analysis for a Policy Report
238(35)
Introduction
238(1)
Policy Reports
239(1)
Descriptive Statistics
239(3)
Analysis for a Policy Report
242(18)
Summary
260(1)
The Report Write-Up
261(5)
Ethics Corner
266(1)
Conclusion
267(1)
Syntax for Analyses Described in This
Chapter
268(3)
Key Terms
271(1)
Critical Thinking Questions
272(1)
Chapter 15 More Advanced Data Analysis
273(32)
Introduction
273(1)
Explanatory Research Questions
274(1)
Journal Article Format
274(1)
Regression Analysis
275(8)
Introduction to OLS (Linear) Regression
275(4)
Preparing Variables for Regression Analysis
279(2)
Preparing the Analysis Dataset
281(2)
Addressing Missing Data
283(7)
Missing Data Analysis
286(4)
OLS Regressions of the Relocation Attitude Scale
290(5)
Creating Tables for the Journal Article and Writing Up the Results
295(4)
Creating a Descriptive Statistics Table
295(2)
Creating Regression Tables
297(2)
Ethics Corner
299(1)
Conclusion
300(1)
Syntax for Analyses Described in This
Chapter
300(4)
Key Terms
304(1)
Critical Thinking Questions
304(1)
Chapter 16 Data Archiving
305(8)
Introduction
305(1)
Seeking External Funding for Your Survey Project
306(1)
Archiving Original and Final Data
307(1)
Example of Evolving Data Storage Technology
308(1)
Data Format
309(1)
Making Data Publicly Available
309(1)
Archives
310(1)
Ethics Corner
311(1)
Conclusion
311(1)
Key Terms
312(1)
Critical Thinking Questions
312(1)
Epilogue 313(6)
Survey Administration Checklist
313(1)
Survey Design and Organization Checklist
313(1)
Writing Good Questions Checklist
314(1)
Piloting or Pretesting Checklist
315(1)
Choosing a Sample Checklist
316(1)
Improving Response Rates Checklist
316(1)
Data Collection Checklist
317(1)
Data Entry and Cleaning Checklist
317(2)
References 319(6)
Name Index 325(2)
Subject Index 327
Erin Ruel is associate professor of sociology and director of graduate studies at Georgia State University in Atlanta, GA. She received her PhD in sociology at the University of Illinois at Chicago in 2003. In 2003, Erin took a postdoctoral position at the University of Wisconsin Madison in the Center for Demography of Health and Aging. While there, she continued to hone her survey research skills on the Wisconsin Longitudinal Study. Soon after arriving in Atlanta to take an assistant professor position at Georgia State University (GSU) in 2005, she began the Urban Health Initiative, a longitudinal survey study of public housing residents facing involuntary relocation with GSU colleagues. Erin was principal investigator of the National Institutes of Health study on the health outcomes of relocated public housing residents and co-investigator on two National Science Foundation grants, examining social disorganization and social support for public housing residents. She employs quantitative and mixed methods to examine health disparities and the health consequences of racial residential segregation, neighborhood disadvantage, housing, and socioeconomic status. Ruel has published in numerous journals, including Demography, Social Forces, Social Science Research, Health and Place, Journal of Housing Studies, Cities, Sociology Compass, Journal of Adolescent Health, and Journal of Urban Health.

William E. Wagner, III,  PhD, is Chair of the Department of Sociology at California State University, Dominguez Hills and Executive Director of the Social Science Research & Instructional Council of the CSU. He is co-author of Adventures in Social Research, 11th edition (SAGE, 2022), The Practice of Survey Research (SAGE, 2016), and A Guide to R for Social and Behavioral Sciences (SAGE, 2020) and author of Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics, 7th edition (SAGE, 2019).







Brian Joseph Gillespie, Ph.D. is a researcher in the Faculty of Spatial Sciences at the University of Groningen in the Netherlands. He is the author of Household Mobility in America: Patterns, Processes, and Outcomes (Palgrave, 2017) and coauthor of The Practice of Survey Research: Theory and Applications (Sage, 2016) and Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences (Sage, 2018). He has also published research in a variety of social science journals on topics related to family, migration, the life course, and interpersonal relationships.







 
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