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Estimating Multiple Classification Latent Class Models [PDF]

open access: bronzePsychometrika, 1999
This paper presents a new class of models for persons-by-items data. The essential new feature of this class is the representation of the persons: every person is represented by its membership to multiple latent classes, each of which belongs to one latent classification.
Eric Maris
openalex   +4 more sources

Identifiability of Latent Class Models with Covariates [PDF]

open access: greenPsychometrika, 2022
AbstractLatent 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 69:5–32, 2004) studied ...
Jing Ouyang, Gongjun Xu
openalex   +4 more sources

Differential item functioning across gender with MIMIC modeling: PISA 2018 financial literacy items

open access: yesInternational 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
doaj   +1 more source

Development and validation of a clinical respiratory disease scoring system for guiding treatment decisions in veal calves using a Bayesian framework

open access: yesJournal 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
doaj   +1 more source

Bayesian Latent Class Analysis: Sample Size, Model Size, and Classification Precision

open access: yesMathematics, 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
doaj   +1 more source

Modeling Airport Choice Using a Latent Class Logit Model

open access: yesAerospace, 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
doaj   +1 more source

Analysis and modeling of trucks travel choice preference under differentiated charging

open access: yesShenzhen 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
doaj   +1 more source

Dependent Latent Class Models

open access: yesBayesian Analysis, 2022
Latent Class Models (LCMs) are used to cluster multivariate categorical data (e.g. group participants based on survey responses). Traditional LCMs assume a property called conditional independence. This assumption can be restrictive, leading to model misspecification and overparameterization.
Bowers, Jesse, Culpepper, Steve
openaire   +3 more sources

Examining the Fairness of the University Entrance Exam: A Latent Class Analysis Approach to Differential Item Functioning [PDF]

open access: yesIssues 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
doaj   +1 more source

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