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Use and interpretation of multiple regression
RSEM Faculty Publications
  • Nancy L. Leech, School of Education and Human Development at the University of Colorado Denver
  • Jeffrey A. Gliner
  • George A. Morgan
  • Robert J. Harmon
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Multiple regression is a frequently used statistical method for analyzing data when there are multiple independent variables. While it can be used in place of analysis of variance, it is most commonly used in the associational approach. For example, in an article from this Journal,Logan and King (2002) were interested in parents’ ability to identify signs of depression in their adolescent children. They hypothesized that prior use of mental health services, impact of the adolescent's emotional/behavioral problems on the family, presence of substance abuse, adolescent–parent communication, and parental depression would be related to a parent's ability to identify depression in the adolescent.
Citation Information
Nancy L. Leech, Jeffrey A. Gliner, George A. Morgan and Robert J. Harmon. "Use and interpretation of multiple regression" (2003)
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