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362.949  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

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

We are interested in this paper to the longitudinal analysis of car ownership (number of cars per household) and car travel demand (the number of trips made by car per household and per day) in the Paris metropolitan area. The aim is to find the determina... 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

Secondary analysis of data is seen as a way of maximising the utility of existing research in a non-intrusive way and provides an efficient research strategy at a time of financial constraint. However, there are few examples from the published literature ... see more

Waterway transport is of great importance for the population of the Amazon Region. It is responsible for moving, according to Agência Nacional de Transportes Aquaviários (Antaq, 2018), approximately 9.8 million passengers and 3.4 million tons of cargo dis... see more

Using mixed-mode data collection is becoming a mainstream way of conducting longitudinal surveys. However, interviewing the same units in a mixed-mode longitudinal design can lead to respondents switching between modes over time. As a result, mode switchi... see more

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