Full Citation
Title: Standards setting when standardizing categorical data
Citation Type: Miscellaneous
Publication Year: 2014
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Abstract: Quantitative social survey research struggles to reconcile the widespread collection of categorical measures, and the common desire to conduct analyses which are not well suited to categorical data (involving comparing standardized, relative positions). By describing approaches taken in the DAMES NCeSS research Node, which is developing facilities to assist in the management of categorical data on occupations, educational qualifications, and ethnicity, this paper argues that tools and practices associated with e-Social Science offer an opportunity to raise standards in the analysis of categorical data.
User Submitted?: No
Authors: Lambert, Paul, S
Publisher: University of Stirling
Data Collections: IPUMS International
Topics: Population Data Science
Countries: United Kingdom