ERIC Number: EJ723001
Record Type: Journal
Publication Date: 2005-Nov
Reference Count: 42
Generalized Linear Models in Family Studies
Journal of Marriage and Family, v67 n4 p1029-1047 Nov 2005
Generalized linear models (GLMs), as defined by J. A. Nelder and R. W. M. Wedderburn (1972), unify a class of regression models for categorical, discrete, and continuous response variables. As an extension of classical linear models, GLMs provide a common body of theory and methodology for some seemingly unrelated models and procedures, such as the logistic, Poisson, and probit models, that are increasingly used in family studies. This article provides an overview of the principle and the key components of GLMs, such as the exponential family of distributions, the linear predictor, and the link function. To illustrate the application of GLMs, this article uses Canadian national survey data to build an example focusing on the number of close friends among older adults. The article concludes with a discussion of the strengths and weaknesses of GLMs.
Descriptors: Research Methodology, Statistical Analysis, Older Adults, Statistical Surveys, Foreign Countries, Friendship, Foreign Countries
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Authoring Institution: N/A
Identifiers - Location: Canada