Survey Measurements: Techniques, Data Quality and Sources of Error

ISBN-13: 9783593502809 / Angielski / Miękka / 2015 / 239 str.

Uwe Engel

Opis

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.

Spis treści

Contents

Preface7
Uwe Engel

1. Introduction9

Uwe Engel

2. Motivated Misreporting: Shaping Answers to Reduce Survey Burden24

Roger Tourangeau, Frauke Kreuter, and Stephanie Eckman

3. Audio-recording of Open-ended Survey Questions: A Solution to the Problems of Interviewer Transcription?42

Patrick Sturgis and Rebekah Luff

4. Framing Effects58

Uwe Engel and Britta Köster

5. Estimating and Comparing the Quality of Different Scales of an Online Survey Using an MTMM Approach76

Melanie Revilla and Willem E. Saris

6. Collecting MTMM Data on Satisfaction with Life97

Laura Burmeister and Uwe Engel

7. On the Quality of Web Panels112

Jelke Bethlehem

8. Online Surveys and the Burden of Mobile Responding130

Marika de Bruijne and Marije Oudejans

9. Well-being, Survey Attitudes, and Readiness to Report on Everyday Life Events in an Experience Sampling Study146

Laura Burmeister, Uwe Engel, and Björn Oliver Schmidt

10. Nonresponse, Measurement Error, and Estimates of Change - Lessons from the German PPSM Panel160

Suat Can and Uwe Engel

11. Handling of Missing Data in Statistical Analyses192

Daniel Salfrán and Martin Spiess

12. Multiple Imputation of Overdispersed Multilevel Count Data209

Kristian Kleinke and Jost Reinecke

Contributors227

Subject Index229

Author Index235

O autorze

Uwe Engel ist Professor für Soziologie mit dem Schwerpunkt Statistik und empirische Sozialforschung an der Universität Bremen.