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Summary
Summary
An in-depth look at current issues, new research findings, andinterdisciplinary exchange in survey methodology andprocessing
Survey Measurement and Process Quality extends the marriage oftraditional survey issues and continuous quality improvementfurther than any other contemporary volume. It documents thecurrent state of the field, reports new research findings, andpromotes interdisciplinary exchange in questionnaire design, datacollection, data processing, quality assessment, and effects oferrors on estimation and analysis.
The book's five sections discuss a broad range of issues and topicsin each of five major areas, including
* Questionnaire design--conceptualization, design of rating scalesfor effective measurement, self-administered questionnaires, andmore
* Data collection--new technology, interviewer effects, interviewmode, children as respondents
* Post-survey processing and operations--modeling of classificationoperations, coding based on such systems, editing, integratingprocesses
* Quality assessment and control--total quality management,developing current best methods, service quality, quality effortsacross organizations
* Effects of misclassification on estimation, analysis, andinterpretation--misclassification and other measurement errors, newvariance estimators that account for measurement error, estimatorsof nonsampling error components in interview surveys
Survey Measurement and Process Quality is an indispensable resourcefor survey practitioners and managers as well as an excellentsupplemental text for undergraduate and graduate courses andspecial seminars.
Author Notes
Lars E. Lyberg, PhD, is Chief Scientist at Statistics Sweden. They both have co-edited, with others, Measurement Errors in Surveys, Survey Measurement and Process Quality, and Telephone Survey Methodology - all published by Wiley.
Paul P. Biemer is a distinguished Fellow at RTI International, and Assistant Director for Survey Research at the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill.
Table of Contents
| Questionnaire Design |
| From Theoretical Concept to Survey QuestionJ. Hox |
| Designing Rating Scales for Effective Measurement in SurveysJ. Krosnick and L. Fabrigar |
| Data Collection |
| Developing a Speech Recognition Application for Survey ResearchB. Blyth |
| Children as Respondents: Methods for Improving Data QualityJ. Scott |
| Post Survey Processing and Operations |
| Integrated Control Systems for Survey ProcessingJ. Bethlehem |
| Quality Assessment and Control |
| Continuous Quality Improvement in Statistical AgenciesD. Morganstein and D. Marker |
| Error Effects on Estimation, Analyses, and Interpretation |
| Categorical Data Analysis and MisclassificationJ. Kuha and C. Skinner |
| Index |
