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Tracking repeatedly measured variables in the National Longitudinal Survey of Children and Youth: An illustration based on volunteering during adolescence

Researchers are able to examine changes in trends over time, through the examination of responses to repeatedly-asked questions, among the same respondents, over several cycles of longitudinal data. Working with these repeatedly-measured responses can often be challenging. This article examines trends in youth's volunteering activities, using data from the National Longitudinal Survey of Children and Youth, to highlight several issues that researchers should consider when working with repeated measures.

Customized duration data construction: An example of deriving unemployment insurance variables using SPSS

Developed initially for the author's research on Unemployment Insurance (UI), this article summarizes a set of procedures for constructing customized duration data, using SPSS software and the Survey of Labour and Income Dynamics (SLID). These procedures could be used to merge, deduce, or match multiple duration datasets.