Assessing and relaxing assumptions in quasi-simplex models

Alexandru Cernat, Peter Lugtig, Nicole Watson, S. C.Noah Uhrig

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

Abstract

The quasi-simplex model (QSM) makes use of at least three repeated measures of the same variable to estimate reliability. The model has rather strict assumptions and ignoring them may bias estimates of reliability. While some previous studies have outlined how several of its assumptions can be relaxed, they have not been exhaustive and systematic. Thus, it is unclear what all the assumptions are and how to test and free them in practice. This chapter will addresses this situation by presenting the main assumptions of the quasi-simplex model and the ways in which users can relax these with relative ease when more than three waves are available. Additionally, by using data from the British Household Panel Survey we show how this is practically done and highlight the potential biases found when ignoring the violations of the assumptions. We conclude that relaxing the assumptions should be implemented routinely when more than three waves of data are available.

Original languageEnglish
Title of host publicationMeasurement Error in Longitudinal Data
EditorsAlexandru Cernat, Joseph W Sakshaug
PublisherOxford University Press
Chapter7
Pages155-172
Number of pages18
ISBN (Electronic)9780191892448
ISBN (Print)9780198859987
DOIs
Publication statusPublished - 18 Mar 2021

Keywords

  • British household panel
  • Longitudinal data
  • Measurement error
  • Panel data
  • Quasi-simplex model

Fingerprint

Dive into the research topics of 'Assessing and relaxing assumptions in quasi-simplex models'. Together they form a unique fingerprint.

Cite this