Joint analysis of multiple categorical dependent variables in organizational research

Peter Westfall, James J. Hoffman, Xia Jun Xia

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


A model for analyzing multiple categorical dependent variables is presented and developed for use in organizational research. A primary example occurs in the foreign market entry literature, in which choice of ownership (majority, equal, or minority) and function (acquisition or joint venture) are simultaneously endogenous; only separate univariate ownership-based and function-based choice models are considered in the literature. Another example is in the comparison of gender and race across organizational units, controlling for confounders such as experience and qualification. Subsuming univariate categorical dependent variables as a special case, the model unifies existing organizational research methods, mitigates bias associated with univariate methods, provides more powerful testing methods, and provides a flexible modeling framework that allows hypotheses to be modeled and tested that are not possible with univariate models. Standard software may be used for estimation and testing; examples are given.

Original languageEnglish
Pages (from-to)673-688
Number of pages16
JournalOrganizational Research Methods
Issue number4
StatePublished - Oct 2007


  • Conditional logit
  • Entry mode
  • Gender discrimination
  • Multinomial logit
  • Odds ratio


Dive into the research topics of 'Joint analysis of multiple categorical dependent variables in organizational research'. Together they form a unique fingerprint.

Cite this