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249.970  Articles
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Multicollinearity is a relationship or correlation between predictor variables. Multicollinearity can also occur in longitudinal data, which is a combination of cross-section data and time-series data. The impact of multicollinearity causes the influence ... see more

A standard concern with long term longitudinal studies is that of attrition over time. Together with initial non-response this typically leads to biased model estimates unless a suitable form of adjustment is carried out. The standard approach to this has... see more

Demographic research is increasingly making use of longitudinal and life history data, given its strong analytical potential. Such data are frequently produced by linking and matching records from multiple sources. Where this is the case, there is the pot... see more

Administrative data are crucial to the “big data” revolution of social science and have played an important role in the development of child maltreatment research. These data are also of value to administrators, policy makers, and clinicians. The focus of... see more

Linkable administrative data have facilitated research incorporating files from various government departments.  Examples from Canada, Australia, and the United Kingdom highlight the possibilities for improving such work. After expanding on compariso... see more

Efficient development of questionnaires for longitudinal surveys and cohort studies as computer-assisted survey instruments usually entails close collaboration between scientific and fieldwork teams.  We describe a system based on the use of a Struct... see more

Indonesia faces decreasing in its number during period of 2018-2019 according to SINTA (Indonesian scientific indexing) database. This situation is alarming amid country’s effort to improve its research and development from which the scientific publicatio... see more

This article addresses the approximate approach to assess measurement invariance with(longitudinal) confirmatory factor analysis. Approximate measurement invariance useszero-mean, small-variance Bayesian priors to allow minor differences in estimatedparam... see more

Statistical analysis in surveys is generally facing missing data. In longitudinal studies for some missing values there might be past or future data points available. The question arises how to successfully transform this advantage into improved imputatio... see more

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