Survey Measurement And Process Quality

An in-depth look at current issues, new research findings, and interdisciplinary exchange in survey methodology and processing

Survey Measurement and Process Quality extends the marriage of traditional survey issues and continuous quality improvement further than any other contemporary volume. It 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 analysis.

The book's five sections discuss a broad range of issues and topics in each of five major areas, including
* Questionnaire design--conceptualization, design of rating scales for effective measurement, self-administered questionnaires, and more
* Data collection--new technology, interviewer effects, interview mode, children as respondents
* Post-survey processing and operations--modeling of classification operations, coding based on such systems, editing, integrating processes
* Quality assessment and control--total quality management, developing current best methods, service quality, quality efforts across organizations
* Effects of misclassification on estimation, analysis, and interpretation--misclassification and other measurement errors, new variance estimators that account for measurement error, estimators of nonsampling error components in interview surveys


Survey Measurement and Process Quality is an indispensable resource for survey practitioners and managers as well as an excellent supplemental text for undergraduate and graduate courses and special seminars.

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.

Partial table of contents:

QUESTIONNAIRE DESIGN.

From Theoretical Concept to Survey Question (J. Hox).

Designing Rating Scales for Effective Measurement in Surveys (J. Krosnick & L. Fabrigar).

DATA COLLECTION.

Developing a Speech Recognition Application for Survey Research (B. Blyth).

Children as Respondents: Methods for Improving Data Quality (J. Scott).

POST SURVEY PROCESSING AND OPERATIONS.

Integrated Control Systems for Survey Processing (J. Bethlehem).

QUALITY ASSESSMENT AND CONTROL.

Continuous Quality Improvement in Statistical Agencies (D. Morganstein & D. Marker).

ERROR EFFECTS ON ESTIMATION, ANALYSES, AND INTERPRETATION.

Categorical Data Analysis and Misclassification (J. Kuha & C. Skinner).

Index.