Multiple indicators, multiple causes measurement error models
نویسندگان
چکیده
منابع مشابه
Multiple indicators, multiple causes measurement error models.
Multiple indicators, multiple causes (MIMIC) models are often employed by researchers studying the effects of an unobservable latent variable on a set of outcomes, when causes of the latent variable are observed. There are times, however, when the causes of the latent variable are not observed because measurements of the causal variable are contaminated by measurement error. The objectives of t...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2014
ISSN: 0277-6715
DOI: 10.1002/sim.6243