Multinominal Logit Latent-Class Regression Models: An Analysis of the Predictors of Gender-Role Attitudes among Japanese Women  

Oleh:

Yamaguchi, Kazuo

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: AJS: American Journal of Sociology vol. 105 no. 06 (May 2000), page 1702.
Topik: Women Japan Attitudes; Sex Role; Attitudes Toward Women; Regression Analysis; Logits; Sociology Methodology Statistical Methods
Fulltext: A13 Vol. 105, No. 6 (May 2000) p1702.PDF (331.74KB)

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Perpustakaan PKPM Nomor Panggil: A13 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This article describes the method of application of multinomial logit latent-class regression models in sociological research. This group of models is the categorical analogue of latent-variable regression for continuous latent variables such as those employed in LISREL or LISCOMP; therefore, though never yet employed in sociological research, the potential usefulness of these models in such research is very high. These models are regression extensions of log-linear latent-class models with group variables. An application focuses on predictors of three latent classes of gender-role attitudes among Japanese women. These classes are labeled "traditional gender-role supporters," "prowork gender-equality supporters," and "antiwork gender-equality supporters." The analysis illustrates the usefulness of the method by identifying the characteristics of each class compared with the others. Other possible applications of the models are also discussed

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