Categorization Errors and Differences in the Quality of Questions in Comparative Surveys

Daniel Oberski*, Willem E. Saris, Jacques A. Hagenaars

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Differentials in measurement error and in question quality can bias findings in comparative survey research. This chapter examines methods to identify and to remedy such bias. The first section of the chapter discusses models used to estimate the measurement error coefficients of survey questions, starting with a basic response model. Then, the chapter presents questions and data from the European Social Survey (ESS). It presents estimates from prior research of the authors, and briefly reviews possible explanations for large differences found in these estimates across countries. The next section presents the model to account for categorization errors. The chapter illustrates what is meant by such errors, and compares the results obtained from categorical versus continuous models. Next, it introduces the method of estimation and discusses the results. Finally, the chapter presents a meta‐analysis of the many findings and discusses general conclusions on the basis of this.
Original languageEnglish
Title of host publicationSurvey methods in multicultural, multinational, and multiregional contexts
EditorsJanet A. Harkness
Place of PublicationOxford
PublisherWiley-Blackwell
Chapter23
Pages435-453
Number of pages19
ISBN (Electronic)9780470609927
ISBN (Print)9780470177990
DOIs
Publication statusPublished - 6 May 2010

Publication series

NameWiley series in survey methodology

Keywords

  • Categorization errors
  • European Social Survey (ESS)
  • Meta-analysis

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