Multilevel models to identify contextual effects on individual group member outcomes: A family example

Daniel Feaster, Ahnalee Brincks, Michael Robbins, José Szapocznik

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

This manuscript illustrates methods for utilizing measurements of individuals to identify group contextual effects on individual outcomes. Contextual effects can be identified by 1 of 3 methods: (1) divergence of the simple within- and between-group regression coefficients, (2) the presence of a cross-level interaction of the within- and between-group predictor variable, or (3) the effect of discrepancies within the group. These methods can be used to incorporate group context into an individual model and can be utilized for any individual process variable that might be affected by a group context. Example data include measures of hassles and coping adequacy of inner city, poor, African American new mothers, and their family members. 2011

Original languageEnglish (US)
Pages (from-to)167-183
Number of pages17
JournalFamily Process
Volume50
Issue number2
DOIs
StatePublished - Jun 2011

Keywords

  • Contextual Effect
  • Coping
  • Family
  • Multilevel
  • Stress

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Social Psychology
  • Clinical Psychology

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