Statistical Models of Association for Comparing Cross-Classifications  

Oleh:

Breen, Richard

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 36 no. 04 (May 2008), page 442-461.
Topik: Log-Linear and Log-Multiplicative Models; Odds Ratios; Cross-Tabulations; Design Matrices; Comparative Analysis
Fulltext: SMR vol.36 no.4 p.442 May 2008_win.pdf (182.04KB)

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Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

In the analysis of cross-classified data, the quantities of interest are frequently odds ratios. Although odds ratios are functions of the interaction parameters in association models, the usual way of normalizing and identifying these parameters means that their relationship with the odds ratios of interest is indirect. This can lead to interpretative confusions. The author points to the benefits of defining the interaction parameters of a model to have a one-to-one relationship with the odds ratios of interest, thus overcoming problems of interpretation. Three examples are presented to illustrate the argument.

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