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AERA 1983 Research Training Presessions Montreal

This training session is designed to introduce the theory, mechanics, and computer applications of log-linear contingency table analysis to participants who have little or no knowledge of this relatively new generalized approach to the analysis of qualitative/categorical data. It is designed particularly for faculty members, social researchers and medical research workers who frequently work with cross-tabular data, who realize that log-linear methodology represents a revolution with respect to the analysis of such data, and who desire to become acquainted with both the major ideas underlying this system of analysis and the major features of a popular canned program for the application of these methods. Following a brief review of traditional chi-square goodness-of-fit procedures and the limitations of these procedures when applied to tables of high dimensionality, major log-linear operations will be demonstrated within the context of three-dimensional tables. These operations include: generating hierarchical log-linear models, selecting the most appropriate model for a particular data set, interpreting the selected model, and following up omnibus results. Basic operations will be extended to tables of four, five, and six dimensions. Major emphasis will be given to logitmodel analysis, a special application of more general loglinear models for use when one or several of the categorical variables are dependent variables. Emphasis will also be given to practical instruction in the use and interpretation of the BMDP/4F computer program so that participants can apply log-linear methods immediately in their work. Although designed for participants with modest backgrounds in quantitative methods, to benefit fully from instruction, it would be helpful if participants have a working knowledge of traditional chi-square procedures and basic features of the analysis of variance. Special provisions will be made to accommodate participants engaged in medical and medically related research and, if warranted, the interests of participants with strong quantitative backgrounds who may desire to entertain a number of intermediate topics such as the analysis of multidimensional logits, "causal" analyses, symmetrical change, and the programming of selective operations for microcomputers.