Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...
This is a preview. Log in through your library . Abstract The paper adapts sparse factor models for exploring covariation in multivariate binary data, with an application to measuring latent factors ...
This paper presents new models for simultaneous relationships among endogenous categorical variables. Previous investigators have argued that the loglinear/logit framework is insufficiently rich for ...
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