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Survey Methodology 2nd edition [Pehme köide]

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(University of Michigan, Ann Arbor), (University of Michigan), (University of Massachusetts), (University of Michigan), (University of Michigan, Ann Arbor), (University of Maryland)
  • Formaat: Paperback / softback, 496 pages, kõrgus x laius x paksus: 249x175x28 mm, kaal: 703 g, Charts: 7 B&W, 0 Color; Drawings: 25 B&W, 0 Color; Maps: 4 B&W, 0 Color; Screen captures: 2 B&W, 0 Color; Graphs: 19 B&W, 0 Color
  • Sari: Wiley Series in Survey Methodology
  • Ilmumisaeg: 30-Jul-2009
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 0470465468
  • ISBN-13: 9780470465462
Teised raamatud teemal:
Survey Methodology 2nd editionSuurem pilt
  • Formaat: Paperback / softback, 496 pages, kõrgus x laius x paksus: 249x175x28 mm, kaal: 703 g, Charts: 7 B&W, 0 Color; Drawings: 25 B&W, 0 Color; Maps: 4 B&W, 0 Color; Screen captures: 2 B&W, 0 Color; Graphs: 19 B&W, 0 Color
  • Sari: Wiley Series in Survey Methodology
  • Ilmumisaeg: 30-Jul-2009
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 0470465468
  • ISBN-13: 9780470465462
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780470465462.html
Märksõnad:
Praise for the First Edition: "The book makes a valuable contribution by synthesizing current research and identifying areas for future investigation for each aspect of the survey process." Journal of the American Statistical Association

"Overall, the high quality of the text material is matched by the quality of writing . . ." Public Opinion Quarterly

". . . it should find an audience everywhere surveys are being conducted." Technometrics

This new edition of Survey Methodology continues to provide a state-of-the-science presentation of essential survey methodology topics and techniques. The volume's six world-renowned authors have updated this Second Edition to present newly emerging approaches to survey research and provide more comprehensive coverage of the major considerations in designing and conducting a sample survey.

Key topics in survey methodology are clearly explained in the book's chapters, with coverage including sampling frame evaluation, sample design, development of questionnaires, evaluation of questions, alternative modes of data collection, interviewing, nonresponse, post-collection processing of survey data, and practices for maintaining scientific integrity. Acknowledging the growing advances in research and technology, the Second Edition features:





Updated explanations of sampling frame issues for mobile telephone and web surveys New scientific insight on the relationship between nonresponse rates and nonresponse errors



Restructured discussion of ethical issues in survey research, emphasizing the growing research results on privacy, informed consent, and confidentiality issues



The latest research findings on effective questionnaire development techniques



The addition of 50% more exercises at the end of each chapter, illustrating basic principles of survey design



An expanded FAQ chapter that addresses the concerns that accompany newly established methods





Providing valuable and informative perspectives on the most modern methods in the field, Survey Methodology, Second Edition is an ideal book for survey research courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing survey methodologists and any professional who employs survey research methods.
Preface to the First Edition xv
Preface to The Second Edition xix
Acknowledgments xxi
An Introduction to Survey Methodology
Introduction
2(1)
A Brief History of Survey Research
3(4)
The Purposes of Surveys
3(2)
The Development of Standardized Questioning
5(1)
The Development of Sampling Methods
6(1)
The Development of Data Collection Methods
7(1)
Some Examples of Ongoing Surveys
7(23)
The National Crime Victimization Survey
8(6)
The National Survey on Drug Use and Health
14(3)
The Surveys of Consumers
17(3)
The National Assessment of Educational Progress
20(4)
The Behavioral Risk Factor Surveillance System
24(3)
The Current Employment Statistics Program
27(2)
What Can We Learn From the Six Example Surveys?
29(1)
What is Survey Methodology?
30(2)
The Challenge of Survey Methodology
32(2)
About this Book
34(5)
Keywords
35(1)
For More In-Depth Reading
35(1)
Exercises
36(3)
Inference and Error in Surveys
Introduction
39(2)
The Lifecycle of a Survey from a Design Perspective
41(8)
Constructs
41(2)
Measurement
43(1)
Response
43(1)
Edited Response
44(1)
The Target Population
44(1)
The Frame Population
45(1)
The Sample
45(1)
The Respondents
46(1)
Postsurvey Adjustments
47(1)
How Design Becomes Process
48(1)
The Lifecycle of a Survey from a Quality Perspective
49(11)
The Observational Gap between Constructs and Measures
50(2)
Measurement Error: the Observational Gap between the Ideal Measurement and the Response Obtained
52(1)
Processing Error: the Observational Gap between the Variable Used in Estimation and that Provided by the Respondent
53(1)
Coverage Error: the Nonobservational Gap between the Target Population and the Sampling Frame
54(2)
Sampling Error: The Nonobservational Gap between the Sampling Frame and the Sample
56(3)
Nonresponse Error: The Nonobservational Gap between the Sample and the Respondent Pool
59(1)
Adjustment Error
59(1)
Putting It All Together
60(1)
Error Notions in Different Kinds of Statistics
61(1)
Nonstatistical Notions of Survey Quality
62(1)
Summary
63(6)
Keywords
64(1)
For More In-Depth Reading
64(1)
Exercises
65(4)
Target Populations, Sampling Frames, and Coverage Error
Introduction
69(1)
Populations and Frames
69(3)
Coverage Properties of Sampling Frames
72(9)
Undercoverage
72(4)
Ineligible Units
76(1)
Clustering of Target Population Elements Within Frame Elements
77
Duplication of Target Population Elements in Sampling Frames
19(61)
Complicated Mappings between Frame and Target Population Elements
80(1)
Alternative Frames for the Target Population of Households or Persons
81(3)
Area Frames
81(1)
Telephone Number Frames for Households or Persons
81(2)
Frames for Web Surveys of General Populations
83(1)
Frame Issues for Other Common Target Populations
84(3)
Customers, Employees, or Members of an Organization
84(1)
Organizations
85(1)
Events
86(1)
Rare Populations
87(1)
Coverage Error
87(1)
Reducing Undercoverage
88(6)
The Half-Open Interval
88(2)
Multiplicity Sampling
90(1)
Multiple Frame Designs
91(2)
Increasing Coverage While Including More Ineligible Elements
93(1)
Summary
94(3)
Keywords
95(1)
For More In-Depth Reading
95(1)
Exercises
95(2)
Sample Design and Sampling Error
Introduction
97(2)
Samples and Estimates
99(4)
Simple Random Sampling
103(3)
Cluster Sampling
106(7)
The Design Effect and Within-Cluster Homogeneity
110(3)
Subsampling within Selected Clusters
113(1)
Stratification and Stratified Sampling
113(10)
Proportionate Allocation to Strata
116(6)
Disproportionate Allocation to Strata
122(1)
Systematic Selection
123(2)
Complications in Practice
125(8)
Two-Stage Cluster Designs with Probabilities Proportionate to Size (PPS)
127(2)
Multistage and Other Complex Designs
129(1)
How Complex Sample Designs are Described: The Sample Design for the NCVS
130(3)
Sampling US Telephone Households
133(3)
Selecting Persons Within Households
136(2)
Summary
138(12)
Keywords
139(1)
For More In-Depth Reading
139(1)
Exercises
139(11)
Methods of Data Collection
Alternative Methods of Data Collection
150(9)
Degree of Interviewer Involvement
153(1)
Degree of Interaction with the Respondent
154(1)
Degree of Privacy
155(1)
Channels of Communication
156(1)
Technology Use
157(1)
Implications of these Dimensions
158(1)
Choosing the Appropriate Method
159(1)
Effects of Different Data Collection Methods on Survey Errors
160(15)
Measuring the Marginal Effect of Mode
160(2)
Sampling Frame and Sample Design Implications of Mode Selection
162(1)
Coverage Implications of Mode Selection
163(3)
Nonresponse Implications of Mode Selection
166(2)
Measurement Quality Implications of Mode Selection
168(5)
Cost Implications
173(1)
Summary on the Choice of Method
174(1)
Using Multiple Modes of Data Collection
175(2)
Summary
177(6)
Keywords
178(1)
For More In-Depth Reading
179(1)
Exercises
179(4)
Nonresponse in Sample Surveys
Introduction
183(1)
Response Rates
183(6)
Computing Response Rates
184(2)
Trends in Response Rates Over Time
186(3)
Impact of Nonresponse on the Quality of Survey Estimates
189(2)
Thinking Causally About Survey Nonresponse Error
191(1)
Dissecting the Nonresponse Phenomenon
192(9)
Unit Nonresponse Due to Failure to Deliver the Survey Request
193(4)
Unit Nonresponse Due to Refusals
197(4)
Unit Nonresponse Due to the Inability to Provide the Requested Data
201(1)
Design Features to Reduce Unit Nonresponse
201(7)
Item Nonresponse
208(2)
Are Nonresponse Propensities Related to Other Error Sources?
210(1)
Summary
210(7)
Keywords
211(1)
For More In-Depth Reading
211(1)
Exercises
211(6)
Questions and Answers in Surveys
Alternatives Methods of Survey Measurement
217(1)
Cognitive Processes in Answering Questions
218(7)
Comprehension
220(1)
Retrieval
220(2)
Estimation and Judgment
222(1)
Reporting
223(1)
Other Models of the Response Process
223(2)
Problems in Answering Survey Questions
225(17)
Encoding Problems
225(1)
Misinterpreting the Questions
226(3)
Forgetting and Other Memory Problems
229(5)
Estimation Processes for Behavioral Questions
234(2)
Judgment Processes for Attitude Questions
236(1)
Formatting the Answer
237(3)
Motivated Misreporting
240(1)
Navigational Errors
241(1)
Guidelines for Writing Good Questions
242(10)
Nonsensitive Questions About Behavior
243(3)
Sensitive Questions About Behavior
246(2)
Attitude Questions
248(3)
Self-Administered Questions
251(1)
Summary
252(7)
Keywords
254(1)
For More In-Depth Reading
254(1)
Exercises
255(4)
Evaluating Survey Questions
Introduction
259(1)
Expert Reviews
260(1)
Focus Groups
261(2)
Cognitive Interviews
263(2)
Field Pretests and Behavior Coding
265(2)
Randomized or Split-Ballot Experiments
267(1)
Applying Question Standards
268(1)
Summary of Question Evaluation Tools
269(5)
Linking Concepts of Measurement Quality to Statistical Estimates
274(12)
Validity
274(5)
Response Bias
279(2)
Reliability and Simple Response Variance
281(5)
Summary
286(5)
Keywords
287(1)
For More In-Depth Reading
287(1)
Exercises
288(3)
Survey Interviewing
The Role of the Interviewer
291(1)
Interviewer Bias
292(3)
Systematic Interviewer Effects on Reporting of Socially Undesirable Attributes
292(1)
Systematic Interviewer Effects on Topics Related to Observable Interviewer Traits
292(2)
Systematic Interviewer Effects Associated with Interviewer Experience
294(1)
Interviewer Variance
295(5)
Randomization Requirements for Estimating Interviewer Variance
296(1)
Estimation of Interviewer Variance
297(3)
Strategies for Reducing Interviewer Bias
300(2)
The Role of the Interviewer in Motivating Respondent Behavior
300(1)
Changing Interviewer Behavior
301(1)
Strategies for Reducing Interviewer-Related Variance
302(10)
Minimizing Questions that Require Nonstandard Interviewer Behavior
303(1)
Professional, Task-Oriented Interviewer Behavior
304(1)
Interviewers Reading Questions as They Are Worded
305(1)
Interviewers Explaining the Survey Process to the Respondent
306(2)
Interviewers Probing Nondirectively
308(3)
Interviewers Recording Answers Exactly as Given
311(1)
Summary on Strategies to Reduce Interviewer Variance
312(1)
The Controversy About Standardized Interviewing
312(3)
Interviewer Management
315(4)
Interviewer Selection
315(1)
Interviewer Training
316(1)
Interviewer Supervision and Monitoring
317(1)
The Size of Interviewer Workloads
318(1)
Interviewers and Computer Use
318(1)
Validating the Work of Interviewers
319(3)
The Use of Recorded Voices (and Faces) in Data Collection
322(1)
Summary
323(6)
Keywords
324(1)
For More In-Depth Reading
324(1)
Exercises
325(4)
Postcollection Processing of Survey Data
Introduction
329(2)
Coding
331(13)
Practical Issues of Coding
332(2)
Theoretical Issues in Coding Activities
334(1)
``Field Coding'' - An Intermediate Design
334(3)
Standard Classification Systems
337(4)
Other Common Coding Systems
341(1)
Quality Indicators in Coding
342(2)
Summary of Coding
344(1)
Entering Numeric Data into Files
344(1)
Editing
345(2)
Weighting
347(7)
Weighting with a First-Stage Ratio Adjustment
348(1)
Weighting for Differential Selection Probabilities
349(1)
Weighting to Adjust for Unit Nonresponse
350(2)
Poststratification Weighting
352(1)
Putting All the Weights Together
352(2)
Imputation for Item-Missing data
354(5)
Sampling Variance Estimation for Complex Samples
359(4)
Survey Data Documentation and Metadata
363(2)
Summary
365(6)
Keywords
366(1)
For More In-Depth Reading
367(1)
Exercises
367(4)
Principles and Practices Related to Ethical Research
Introduction
371(1)
Standards for the Conduct of Research
371(3)
Standards for Dealing with Clients
374(1)
Standards for Dealing with the Public
375(1)
Standards for Dealing with Respondents
376(8)
Legal Obligations to Survey Respondents
376(1)
Ethical Obligations to Respondents
377(2)
Informed Consent: Respect for Persons
379(2)
Beneficence: Protecting Respondents from Harm
381(2)
Efforts at Persuasion
383(1)
Emerging Ethical Issues
384(1)
Research About Ethical Issues in Surveys
384(8)
Research on Informed Consent Protocols
385(5)
Research on Confidentiality Assurances and Survey Participation
390(2)
Administrative and Technical Procedures for Safe-Guarding Confidentiality
392(6)
Administrative Procedures
392(1)
Technical Procedures
393(5)
Summary and Conclusions
398(7)
Keywords
400(1)
For More In-Depth Reading
400(1)
Exercises
400(5)
FAQs About Survey Methodology
Introduction
405(1)
The Questions and Their Answers
405(16)
References 421(30)
Index 451
ROBERT M. GROVES , PhD, is Professor and Director of the University of Michigan Survey Research Center and Research Professor at the Joint Program in Survey Methodology at the University of Maryland. FLOYD J. FOWLER, PhD, is Senior Research Fellow in the Center for Survey Research at the University of Massachusetts Boston.

MICK P. COUPER, PhD, is Research Professor at both the University of Michigan Survey Research Center and the Joint Program in Survey Methodology at the University of Maryland.

JAMES M. LEPKOWSKI, PhD, is Research Professor at the University of Michigan Survey Research Center, where he is also Associate Professor in the Department of Biostatistics and Director of the Joint Program in Survey Methodology.

ELEANOR SINGER, PhD, is Research Professor Emerita at the University of Michigan Survey Research Center.

ROGER TOURANGEAU, PhD, is Research Professor at both the University of Michigan Survey Research Center and the Joint Program in Survey Methodology at the University of Maryland.