Assessing the Consequences of Using Self-report: Data to Determine the Correlates of HIV Status: Conditional and Marginal Approaches

David M. Rindskopf, Shiela M. Strauss, Gregory P. Falkin, Sherry Deren

Research output: Contribution to journalArticle

Abstract

This article examines whether relationships between individual characteristics and HIV status can be identified when self-report data are used as a proxy for HIV serotest results. The analyses use data obtained from HIV serotests and face-to-face interviews with 7,256 out-of-treatment drug users in ten sites from 1992 to 1998. Relationships between 17 individual characteristics and HIV status (measured both by self-report and serotest results) were determined by (a) comparing and evaluating the fit of both standard and "nonstandard" loglinear models, and (b) evaluating the fit of marginal homogeneity models. The loglinear analyses showed that HIV serostatus was related to individual characteristics in 38 percent of the relationships. In most cases, the strength of the relationships between HIV status and individual characteristics did not differ when HIV status was measured with self report data.

Original languageEnglish (US)
Pages (from-to)325-352
Number of pages28
JournalMultivariate Behavioral Research
Volume38
Issue number3
DOIs
StatePublished - 2003

ASJC Scopus subject areas

  • Statistics and Probability
  • Experimental and Cognitive Psychology
  • Arts and Humanities (miscellaneous)

Fingerprint Dive into the research topics of 'Assessing the Consequences of Using Self-report: Data to Determine the Correlates of HIV Status: Conditional and Marginal Approaches'. Together they form a unique fingerprint.

  • Cite this