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Logistic Regression Using SAS®: Theory and Application by Paul D. Allison

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10.5. Loglinear Models for Square, Ordered Tables

Loglinear models have been particularly popular for the analysis of mobility tables like the one shown in Table 10.2, which is based on data collected in Britain by Glass (1954) and his collaborators. The column variable is the respondent’s occupational status, classified into five categories with 1 being the highest and 5 the lowest. The same classification was used for the father’s occupation, the row variable in the table. For obvious reasons, we call this a square table. Our aim is to fit loglinear models that describe the relationship between father’s status and son’s status. In the process, we’ll see how to estimate some models proposed by Goodman (1970).

Table 10.2. Cross-Classification ...

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