Survey Measurement and Process Quality

by Lyberg, Lars E.; Biemer, Paul; Collins, Martin; De Leeuw, Edith D.; Dippo, Cathryn; Schwarz, Norbert; Trewin, Dennis

• ISBN13: 9781118490013
• ISBN10: 1118490010
• Edition: 1st
• Format: eBook
• Copyright: 2012-08-30
• Publisher: Wiley-Interscience

Summary

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.

Table of Contents

Aus dem Inhalt:
Introduction;
QUESTIONNAIRE DESIGN: Questionnaire Design The Rocky Road from Concepts to Answers;
From Theoretical Concepts to Survey Question;
Why are There So Few Formal Measuring Instruments in Social and Political Research?;
Social Cognition and Responses to Survey Question Among Culturally Diverse Population;
Reducing Question Order Effects: The Operation of Buffer Items;
Designing Rating Scales for Effective Measurement in Survey;
Towards a Theory of Self-Administered Questionnaire Design;
DATA COLLECTION: Data Collection Methods and Survey Quality: An Overview;
The Effect of New Data Collection Technologies on Survey Data Quality;
Speech Recognition Applications for Survey Research;
Evaluating Interviewer Use of CAPI Technology;
The Effect of Interviewer and Respondent Behavior on Data Quality: Analysis of Interaction Coding in a Validation Study;
Effects of Interview Mode on Sensitive Questions in a Fertility Survey;
Children as Respondents: Methods for Improving Data Quality: POST SURVEY PROCESSING AND OPERATIONS: Some Aspects of Post Survey Processing;
Integrated Control Systems for Using Expert Systems to Model and Improve Survey Classification Processes;
Editing of Survey Data: How Much is Enough?;
The Quality of Occupational Coding in the United Kingdom;
QUALITY ASSESSMENT AND CONTROL: Survey Measurement and Process Improvement: Concepts and Integration;
Continuous Quality Improvement in Statistical Agencies;
Quality Policies, Standards, Guidelines, and Recommended Practices at National Statistical Agencies;
Improving the Comparability of Estimates Across Business Surveys;
Evaluating Survey Data: Making the Transition from Pretesting to Quality Assessment;
CATI Site Management in a Survey of Service Quality;
Using Statistical Methods Applicable to Autocorrelated Processes to Analyse Survey Process Quality Data;
ERROR EFFECTS ON ESTIMATION ANALYSES, AND INTERPRETATION: A Review of Measurement Error Effects on the Analysis of Survey Data;
Categorical Data Analysis and Misclassification;
Separating Change and Measurement Error in Panel Surveys with an Application to Labor Market Data;
Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormaility in 24-hour Food Intake Data;
Identifying and Adjusting for Recall Error with Application to Fertility Surveys;
Estimators of Nonsampling Errors in Interview-Reinterview Supervised Surveys with Interpenetrated Assignments;
Variance Estimation Under Two-Phase Stratified Sampling with Applications to Measurement Bias.