an article by Ruben L. Bach (University of Mannheim, Germany) and Stephanie Eckman (RTI International,Washington DC, USA) Journal of Royal Statistical Society Series A (Statistics in Society) Volume 182 Issue 1 (January 2019)
Summary
Panel survey participation can bring about unintended changes in respondents’ behaviour and/or their reporting of behaviour.
Using administrative data linked to a large panel survey, we analyse whether the survey brings about changes in respondents’ labour market behaviour. We estimate the causal effect of panel participation on the take‐up of federal labour market programmes by using instrumental variables.
Results show that panel survey participation leads to an increase in respondents’ take‐up of these measures. These results suggest that panel survey participation not only affects the reporting of behaviour, as previous studies have demonstrated, but can also alter respondents’ actual behaviour.
Full text (PDF 19pp)
Showing posts with label longitudinal_data. Show all posts
Showing posts with label longitudinal_data. Show all posts
Monday, 28 January 2019
Wednesday, 12 April 2017
Educational Aspirations Trajectories in England
an article by Andrew McCulloch (Education Datalab) published in British Journal of Educational Studies Volume 65 Issue 1 (2017)
Abstract
This study used latent class analysis to examine the trajectories followed by young people’s educational aspirations in England over the age range from 13 to 16 years and their relationship to educational achievement. The results suggested that young people’s aspirations followed six trajectories.
Four trajectories showed overall patterns of aspirations which did not vary over time, while in the two remaining trajectories, aspirations either moved upwards or downwards.
The trajectories were stratified according to young people’s family background and individual characteristics with those trajectories with high aspirations having higher proportions of young people from better-off family backgrounds and a higher proportion of girls and respondents from ethnic minority backgrounds.
Respondents with high aspirations made more progress in achievement and had a higher likelihood of admission to university than those with low aspirations.
Differences in aspirations did not completely explain differences in educational achievement by family background, however.
Abstract
This study used latent class analysis to examine the trajectories followed by young people’s educational aspirations in England over the age range from 13 to 16 years and their relationship to educational achievement. The results suggested that young people’s aspirations followed six trajectories.
Four trajectories showed overall patterns of aspirations which did not vary over time, while in the two remaining trajectories, aspirations either moved upwards or downwards.
The trajectories were stratified according to young people’s family background and individual characteristics with those trajectories with high aspirations having higher proportions of young people from better-off family backgrounds and a higher proportion of girls and respondents from ethnic minority backgrounds.
Respondents with high aspirations made more progress in achievement and had a higher likelihood of admission to university than those with low aspirations.
Differences in aspirations did not completely explain differences in educational achievement by family background, however.
Monday, 11 February 2013
Analysing censored longitudinal data with non-ignorable missing values: depression in older age
an article by Milena Falcaro (London School of Hygiene and Tropical Medicine, London, UK), Neil Pendleton (University of Manchester, UK) and Andrew Pickles (King's College, London, UK) published in Journal of the Royal Statistical Society: Series A (Statistics in Society) Volume 176 Issue 2 (February 2013)
Summary
Missing values are common in cohort studies of the elderly.
As part of a study of cognition in older age, we implemented a model for the analysis of longitudinal depression data complicated by the presence of non-ignorable missing values, censored measurements and individually varying times of observation.
The repeated measures and non-response mechanisms are jointly modelled by assuming that they depend on a common underlying process.
The results of our analysis suggest that both depression and non-response increase with age and that women have systematically higher depression scores than men but do not have higher levels of study non-participation.
Summary
Missing values are common in cohort studies of the elderly.
As part of a study of cognition in older age, we implemented a model for the analysis of longitudinal depression data complicated by the presence of non-ignorable missing values, censored measurements and individually varying times of observation.
The repeated measures and non-response mechanisms are jointly modelled by assuming that they depend on a common underlying process.
The results of our analysis suggest that both depression and non-response increase with age and that women have systematically higher depression scores than men but do not have higher levels of study non-participation.
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