Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"latent class model"”.
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Latent Class Model in Transportation Study
… be interpreted as to establish the statistical models for the latent structure of data. Over the past several years, the interest in latent class models has continuously increased due to their great potential in solving practical problems. In this dissertation, I developed several latent class …
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Cognitive diagnosis modeling and applications to assessing learning
Chapter 1: Cognitive diagnosis models (CDMs) are restricted latent class models designed to assess test takers' mastery on a set of skills or attributes. With a wide range of applications in education and in psychopathology, various CDMs have been proposed and fitted to response data from different …
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Preventable Deaths at Acute Care Hospitals
… preventability ratings to each death and latent class analysis was used to classify deaths into high and low preventability categories. Results There were 480 decedents with mean age of 73.9. Inter-rater reliability was poor with an intra-class correlation of 0.14. The best latent class …
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Evaluation of community preferences for decentralised water management systems: a case study in Akaroa, Banks Peninsula
… data was collected from Akaroa residents, and a latent class model was specified to estimate willingness to pay (WTP) for decentralised water supply systems. Results reveal that approximately two-thirds of the sample actually had a negative WTP for decentralised systems (range from -$3,145 to …
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Application of ordered latent class regression model in educational assessment
Latent class analysis is a useful tool to deal with discrete multivariate response data. Croon (1990) proposed the ordered latent class model where latent classes are ordered by imposing inequality constraints on the cumulative conditional response probabilities. Taking stochastic ordering of …
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Three Essays on Choice -Based Estimations of the Economic Benefits of Contaminated Site Cleanup
… approach uses the standard conditional logit model. We integrate the market transaction data ex ante into the choice data which results in more realistic choice sets and avoids the problem of perfect collinearity in market data. The second approach focuses on the role of both observed and …
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Bayesian Latent Class Models
The latent class model (LCM) is a statistical method that introduces a set of latent categorical variables. The main advantage of LCM is that conditional on latent variables, the manifest variables are mutually independent of each other. In some scenarios, the LCM makes the modeling or computation …
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Consumer's preferences for goat meat in the United States : an application of choice-based conjoint analysis
… choice as hypothesized, in the estimated models the attribute was statistically insignificant or had a small effect on preference. Goat meat consumers valued domestic over imported goat meat. The random parameters logit model and latent class logit model revealed heterogeneous preferences. …
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Three essays on differentiated products and heterogeneous consumer preferences: the case of table eggs
… survey was administered. The analysis using a latent class model categorized the sample respondents into four classes, and their preferences toward attributes and various label combinations differed across classes. Scanner data, which record actually purchased choices, are an important source …
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Self-directed learning and academic achievement in secondary online students
… States. The study investigated whether distinct latent classes of SDL exist; whether there was a significant difference in SDL according to gender, ethnicity, and grade level; and whether significantly different online course completion, online final grade, or GPA were associated with SDL class …
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Residential Preference at Transit-oriented Development: A Visual Choice Experiment
… residential preference: a multinomial logit model, a mixed logit model, and a latent class model. The results indicated the presence of preference heterogeneity and the emergence of four lifestyle classes that could explain and predict residential preference patterns. People with similar …
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Identifiability and estimation for restricted latent class models and hidden Markov models
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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Bayesian Adaptive Designs for Early Phase Clinical Trials
… A transparent yet efficient Bayesian probability model is applied to calculate the event happening probabilities in the presence of delayed outcomes, which incorporates the informative pending patients' remaining follow-up time into consideration. The T-3+3 design only models the information for …
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Multilevel Latent Markov Models for Nested Longitudinal Discrete Data
… both aspects need to be taken into account when modeling such data. Many developments for multilevel and longitudinal data have focused on continuous response or outcome variables, and less attention has been paid to data with discrete manifest and latent variables. The Multilevel Latent Markov …
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The Relation between Uncertainty in Latent Class Membership and Outcomes in a Latent Class Signal Detection Model
Latent class variables are often used to predict outcomes. The conventional practice is to first assign observations to one of the latent classes based on the maximum posterior probabilities. The assigned class membership is then treated as an observed variable and used in predicting the outcomes. …
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Examining response patterns in attitudinal and personality scales using advanced psychometric modeling techniques
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Identifiability for latent class models
Despite the fact that latent class models have been widely applied and appeared to perform well in various applications, it is well known that inference for latent class models is challenging due to the potential nonidentifiability of the underlying model parameters. In other words, multiple or …
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Effects of fire frequency and seasonality on the population dynamics of the critically endangered Clanwilliam cedar
… in the Cederberg Wilderness Area, I used a latent class analysis on fire indices calculated from a fire history database. To explore the effects of fire seasonality on the cedar count numbers I used a negative binomial hurdle model using seasonal fire indices and environmental data. To …
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Diagnostic Modeling of Intra-Organizational Mechanisms for Supporting Policy Implementation
… explored the application of cognitive diagnostic modeling to measure teachers' perceptions of intra-organizational mechanisms available to support educational professionals in implementing this policy. It was found that a coarse-grained, four-attribute compensatory, re-parameterized unified model …
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Socioeconomic status and tobacco use behavior in adolescence.
… with poverty, with those in lower socioeconomic classes using tobacco at higher rates. The association between socioeconomoic status (SES) and tobacco use for youth, however, is much less clear. Understanding the role of SES in initiation and progression of tobacco use among adolescents can …
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