Using TraMineR to Sequence Daily Time Diary Data: An Example Using Gendered Differences in Carework and Housework
Joanna Pepin, Liana C. Sayer, Rose Malinowski Weingartner, University of Maryland and Sarah Flood, University of Minnesota
Presented at O3S: Open Scholarship for the Social Sciences
This research project seeks to serve two purposes, extending knowledge of ways that the timing and order of daily activities are linked with gendered differences in housework and carework, and expanding the tools accessible to time use researchers by demonstrating the use of sequence analysis in a transparent and replicable way. The substantive research project is an ongoing effort, presented here as a replicable example of sequence analysis of time-diary data. The source data are accessible from ATUS-X, a project that works to make data from the American Time Use Survey (ATUS) more easily accessible to researchers by allowing users to create and download ATUS data files specific to their needs.
The R and Stata code to replicate and build on this project is accessible at GitHub (link coming soon).
TraMineR is an R package designed to visualize and analyze sequences of states across the life course.
SocArXiv hosts the inaugural O3S: Open Scholarship for the Social Sciences symposium.
O3S will (a) highlight research that uses the tools and methods of open scholarship; (b) bring together researchers who work on problems of open access, publishing, and open scholarship; and (c) facilitate exchange of ideas on the development of SocArXiv.