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Latent class models for classification [PDF]
Computational Statistics & Data Analysis, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeroen K. Vermunt, Jay Magidson
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Latent class model with application to speaker diarization [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2019 In this paper, we apply a latent class model (LCM) to the task of speaker diarization. LCM is similar to Patrick Kenny’s variational Bayes (VB) method in that it uses soft information and avoids premature hard decisions in its iterations.
Liang He +5 more
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Differential item functioning across gender with MIMIC modeling: PISA 2018 financial literacy items
International Journal of Assessment Tools in Education, 2022 The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. Data were 953 students from the USA who participated in the PISA 2018 8th-grade financial literacy assessment.
Fatıma Münevver Saatçioğlu
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Journal of Dairy Science, 2022 : Active infectious bovine respiratory disease (BRD) is an infection of the airways that needs to be diagnosed correctly so that appropriate treatment can be initiated.
J. Berman +4 more
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Bayesian Latent Class Analysis: Sample Size, Model Size, and Classification Precision
Mathematics, 2023 The current literature includes limited information on the classification precision of Bayes estimation for latent class analysis (BLCA). (1) Objectives: The present study compared BLCA with the robust maximum likelihood (MLR) procedure, which is the ...
Diana Mindrila
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Modeling Airport Choice Using a Latent Class Logit Model
Aerospace, 2023 Studying the location of an airport is essential for optimizing its functionality, ensuring safety, and maximizing its economic benefits. There are many airports located within a short distance of each other, and users can often choose to travel between ...
Luigi dell’Olio +2 more
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Identifiability of Latent Class Models with Covariates
Psychometrika, 2022 Abstract Latent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5–
Jing Ouyang, Gongjun Xu
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Analysis and modeling of trucks travel choice preference under differentiated charging
Shenzhen Daxue xuebao. Ligong ban, 2023 To study the impact of expressway differentiated charging on the travel choice behavior of truck drivers, this paper combines the multinomial logit (MNL) model, the nested logit (NL) model and the latent class model based on the theoretical framework of ...
KONG Dexue +3 more
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Variable assessment in latent class models [PDF]
Computational Statistics & Data Analysis, 2014 The latent class model provides an important platform for jointly modeling mixed-mode data - i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a powerful tool for statisticians, few studies are focused on
Q. Zhang, Edward Hak-Sing Ip
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Examining the Fairness of the University Entrance Exam: A Latent Class Analysis Approach to Differential Item Functioning [PDF]
Issues in Language Teaching, 2021 Measurement has been ubiquitous in all areas of education for at least a century. Various methods have been suggested to examine the fairness of education tests especially in high-stakes contexts.
Sayyed Mohammad Alavi +2 more
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