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Second, the use of latent class model which splits the population into subgroups enables us to study the heterogeneous responses of each group.
One notable methodology entails the use of latent variable techniques to analyze data that are collected on multiple occasions.
Recent work by Kim and Steiner (2015) provide an approach for addressing differential selection across schools through the use of latent class models for across-school matching.
The present paper explores the use of latent class analysis to determine individual differences in the importance appended to several landscape dimensions for landscape aesthetic preference.
We validate the use of Latent Semantic Analysis for discovering architectural knowledge by comparing the resulting vector-space model with the mental model of documentation that auditors possess.
In such cases, a valid alternative to classical test evaluation involves the use of latent class models that do not require a priori knowledge of disease status.
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The ANRS 1215 cohort provided the advantage of a long follow-up of patients with HIV receiving HAART; this allowed the use of latent-class trajectories for the average and the variance of adherence to HAART over time.
To validate the use of a latent variable approach, we fitted preliminary latent variable models to the four baseline anthropometric measurements (BMI, waist circumference, sum of skinfolds, percent body fat) to create a measurement model, as only one latent variable and its four manifest variables assessments are considered.
A Latent Class (LC) model allows for parameter heterogeneity across individual respondents with the use of discrete latent classes.
The use of a latent heat storage system by using phase change materials (PCMs) is an effective method of storing thermal energy.
Even though the use of perceptual latent variable may be suitable for this, they have not been used, likely because of their high data collection and estimation costs.
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