Survey Measurement and Process Quality / Edition 1

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Overview

Survey Measurement and Process Quality documents the current state of the field, reports new research findings, and promotes interdisciplinary exchange in questionnaire design, data collection, data processing, quality assessment, and effects of errors on estimation and anaysis. Every chapter has undergone extensive editing, review and revision and includes a large number of references. This monograph takes the combination of traditional survey issues and continuous quality improvement (TQM) further than can be found in today's literature.
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Editorial Reviews

Booknews
A selection of 33 papers from a conference in Bristol, England, in April 1995 called to further the integration of process quality with the practices of taking surveys. They cover questionnaire design; data collection; mail survey processing and operations; quality assessment and control; and error effects on estimating analysis, and interpretation. For survey practitioners and managers, and undergraduate and graduate students in fields that take surveys. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

Table of Contents

Contributors
Preface
Introduction: Measurement Error in Surveys: A Historical Perspective 1
1 Questionnaire Design: The Rocky Road from Concepts to Answers 29
2 From Theoretical Concept to Survey Question 47
3 Why Are There so Few Formal Measuring Instruments in Social and Political Research? 71
4 Social Cognition and Responses to Survey Questions Among Culturally Diverse Populations 87
5 Reducing Question Order Effects: The Operation of Buffer Items 115
6 Designing Rating Scales for Effective Measurement in Surveys 141
7 Towards a Theory of Self-Administered Questionnaire Design 165
8 Data Collection Methods and Survey Quality: An Overview 199
9 The Effect of New Data Collection Technologies on Survey Data Quality 221
10 Developing a Speech Recognition Application for Survey Research 249
11 Evaluating Interviewer Use of CAPI Technology 267
12 The Effect of Interviewer and Respondent Behavior on Data Quality: Analysis of Interaction Coding in a Validation Study 287
13 Effects of Interview Mode on Sensitive Questions in a Fertility Survey 311
14 Children as Respondents: Methods for Improving Data Quality 331
15 Some Aspects of Post-Survey Processing 353
16 Integrated Control Systems for Survey Processing 371
17 Using Expert Systems to Model and Improve Survey Classification Processes 393
18 Editing a Survey Data: How Much Is Enough? 415
19 The Quality of Occupational Coding in the United Kingdom 437
20 Survey Measurement and Process Improvement: Concepts and Integration 457
21 Continuous Quality Improvement in Statistical Agencies 475
22 Quality Policies, Standards, Guidelines, and Recommended Practices at National Statistical Agencies 501
23 Improving the Comparability of Estimates Across Business Surveys 523
24 Evaluating Survey Data: Making the Transition from Pretesting to Quality Assessment 541
25 CATI Site Management in a Survey of Service Quality 573
26 Using Statistical Methods Applicable to Autocorrelated Processes to Analyze Survey Process Quality Data 589
27 A Review of Measurement Error Effects on the Analysis of Survey Data 603
28 Categorical Data Analysis and Misclassification 633
29 Separating Change and Measurement Error in Panel Surveys with an Application to Labor Market Data 671
30 Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data 689
31 Identifying and Adjusting for Recall Error with Application to Fertility Surveys 711
32 Estimators of Nonsampling Errors in Interview-Reinterview Supervised Surveys with Interpenetrated Assignments 733
33 Variance Estimation Under Stratified Two-Phase Sampling with Applications to Measurement Bias 753
Index 769
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