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Some notes on categorical data analysis, using simulation in Stata and R

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dc.contributor.author Halpin, Brendan
dc.date.accessioned 2011-10-28T08:45:38Z
dc.date.available 2011-10-28T08:45:38Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/10344/1531
dc.description non-peer-reviewed en_US
dc.description.abstract Simple modelling of categorical data is not as simple as it seems. Standard formulas taught to generations of undergraduates are shown to be sub-optimal, simple models are widely misunderstood, and high levels of controversy surround the suitability and interpretation of relatively standard models such as logistic regression. In this research note I discuss a number of these issues, using simple simulations in Stata and R to illuminate them. en_US
dc.language.iso eng en_US
dc.publisher Department of Sociology, University of Limerick en_US
dc.relation.ispartofseries Department of Sociology Working Paper WP2011-01
dc.relation.uri http://www.ul.ie/sociology/pubs/
dc.subject categorical data analysis en_US
dc.subject software en_US
dc.subject simulation en_US
dc.title Some notes on categorical data analysis, using simulation in Stata and R en_US
dc.type Working paper en_US
dc.type.supercollection all_ul_research en_US
dc.type.restriction none en


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