Survey Measurements: Techniques, Data Quality and Sources of Error

by Uwe Engel (Editor)

Overview

The accuracy of a survey is directly affected by how the survey is presented, how the questions are worded, and what the format is for responses. In addition, survey methods continue to develop at an accelerating rate to keep step with technological demands. Consequently, research on survey methods themselves is essential to ensuring accurate data. Survey Measurements presents the most up to date findings in this field. Exploring the effects of survey question format and survey type on data quality as well as developments in the treatment of missing data, an international collection of contributors addresses such key topics as motivated misreporting; audio-recording of open-ended questions; framing effects; multitrait-multimethod matrix modeling; web, mobile web, and mixed-mode research; experience sampling; estimates of change; and multiple imputation. This book will be a vital resource for teachers and students of survey methodology, advanced data analysis, applied survey research, and a variety of disciplines including the social sciences, public health research, epidemiology, and psychology.

Product Details

ISBN-13:	9783593502809
Publisher:	Campus Verlag
Publication date:	09/15/2015
Pages:	239
Product dimensions:	5.40(w) x 8.30(h) x 0.80(d)

About the Author

Uwe Engel is professor of sociology and head of social science methods in the Department of Social Sciences at the University of Bremen. He is coeditor of Improving Survey Methods: Lessons from Recent Research.

Table of Contents

Preface Uwe Engel 7

1 Introduction Uwe Engel 9

2 Motivated Misreporting: Shaping Answers to Reduce Survey Burden Roger Tourangeau Frauke Kreuter Stephanie Eckman 24

3 Audio-recording of Open-ended Survey Questions: A Solution to the Problems of Interviewer Transcription? Patrick Sturgis Rebekah Luff 42

4 Framing Effects Uwe Engel Britta Köster 58

5 Estimating and Comparing the Quality of Different Scales of an Online Survey Using an MTM? Approach Melanie Revilla Willem E. Saris 76

6 Collecting MTMM Data on Satisfaction with Life Laura Burmeister Uwe Engel 97

7 On the Quality of Web Panels Jelke Bethlehem 112

8 Online Surveys and the Burden of Mobile Responding Marika de Bruijne Marije Oudejans 130

9 Well-being, Survey Attitudes, and Readiness to Report on Everyday Life Events in an Experience Sampling Study Laura Barmeister Uwe Engel Björn Oliver Schmidt 146

10 Nonresponse, Measurement Error, and Estimates of Change - Lessons from the German PPSM Panel Suat Can Uwe Engel 160

11 Handling of Missing Data in Statistical Analyses Daniel Salfrán Martin Spiess 192

12 Multiple Imputation of Overdispersed Multilevel Count Data Kristian Kleinke Jost Reinecke 209

Contributors 227

Subject Index 229

Author Index 235