The quasi-simplex model makes use of at least three repeated measures of the same variable to estimate its reliability. The model has rather strict assumptions about how various parameters in the model are related to each other. Previous studies have outlined how several of the assumptions of...

The quasi-simplex model makes use of at least three repeated measures of the same variable to estimate its reliability. The model has rather strict assumptions about how various parameters in the model are related to each other. Previous studies have outlined how several of the assumptions of...

Test-retest reliability assessments rarely investigate whether reliability itself is stable or whether change in reliability affects findings from substantive models. Research across the social sciences often recognises that measurement error could influence results, yet it rarely applies...

Mixed mode designs are increasingly important in surveys and large longitudinal studies are progressively moving to or considering such a design. In this context our knowledge regarding the impact of mixing modes on data quality indicators in longitudinal studies is sparse. This study tries to...

Household income is difficult to measure, since it requires collecting information about all potential income sources for each member of a household. We assess the effects of two types of edit check questions on measurement error and survey estimates: within-wave edit checks use responses to...

Household income is difficult to measure, since it requires collecting information about all potential income sources for each member of a household. We assess the effects of two types of edit check questions on measurement error and survey estimates: within-wave edit checks use responses to...

Household income is difficult to measure, since it requires collecting information about all potential income sources for each member of a household. We assess the effects of two types of edit check questions on measurement error and survey estimates: within-wave edit checks use responses to...

Measurement invariance (MI) is a pre-requisite for comparing latent variable scores across groups. The current paper introduces the concept of approximate MI building on the work of Muthén and Asparouhov and their application of Bayesian Structural Equation Modeling (BSEM) in the software...