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 38 for “"Latent Classes"”.
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Latent classes of comorbid clinical presentations for patients with psychogenic non-epileptic seizures
… workers between 2016 and 2023. In Study 1, a latent class analysis was run on theoretically informed clinical presentations, revealing that a two-class model fit best (Low Comorbidity and Mixed Presentation). Study 2 expanded on this with additional PTSD diagnoses assigned based on screening …
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Adolescent Risk Behaviors: Examining Latent Classes And Latent Transition Statuses In A Longitudinal Bahamian Sample
… that co-occur among different subsets of youth. Latent class analysis and latent transition analysis revealed four distinct profiles of risk behavior involvement. Latent classes of grade 12 behaviors included a low risk class, a high risk class and two moderate risk behaviors classes. The …
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Mixed Mode Latent Class Clustering: An Examination of Fit Index Performance for Identifying Latent Classes
… used by applied researchers interested in latent class clustering (LCC) or finite mixture models. The goal of LCC is to classify subjects from a large heterogeneous set of cases into homogeneous subgroups when the number of subgroups is unknown a priori. Despite the advantages of LCC over …
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Incorporating Perceptions, Learning Trends, Latent Classes, and Personality Traits in the Modeling of Driver Heterogeneity in Route Choice Behavior
… Third, driver heterogeneity is addressed via latent class choice models. Last, personality traits were found significant in all estimated models. The first three adopted perspectives were modeled as functions of variables of driver demographics, personality traits, and choice situation …
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Individualized religious styles : a latent class analysis of religion and its implications for political attitudes and family formation outcomes.
… individualized religious styles. This study uses latent class analysis to determine underlying classes, or patterns of responses in the data, to forge a new classification system. Data come from the General Social Survey, 2016. Analyses from the 2016 General Social Survey identify six latent …
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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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A Hierarchical Typology of Children in Elementary School Using Teacher Ratings of Behavior
… classification procedures were employed: latent class cluster analysis (LCCA) and cluster analysis (CA). The first tier of the resulting classification system consited of latent classess, whereas the second tier was represented by the clusters identified within each latent class. Distinct …
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Latent class modelling of respiratory outcomes in a South African birth cohort
… function measurements through the derivation of latent phenotype classes and (2) the impact of early-life lower respiratory tract infections (LRTIs) and other predictors on wheezing and lung function. Methods: Data from the Drakenstein Child Health Study (DCHS) was used to critically evaluate …
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Trajectories and Transitions: Exploration of Gender Similarities and Differences in Offending
This study uses latent class analysis and latent transition analysis to model and compare patterns of offending over time for males and females by: (1) identifying qualitative dimensions of offending; (2) modeling how patterns of offending change over time; and (3) exploring factors related to …
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Determining indicators and predictors of effective ninth grade algebra I teachers
… and Mathematics (STEM). This study established latent classes of effective and non-effective Algebra I teachers using measurements of teacher promoted engagement, teacher promoted understanding, and classroom management from the MET Project database and supports class identification accuracy …
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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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A Model That Combines IRT and Latent Class Models
… the widely used Item Response Theory (IRT) and Latent Class models by combining them both. The weakness of IRT is that it is unable to express cognitive structure whether that is rule of operations or particular misunderstanding, or to give descriptive information of knowledge possessed by …
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The exploratory Generalized Noisy Inputs, Deterministic “OR” gate model: A duality proof and application
… individuals into substantively meaningful latent classes. Recent research applied disjunctive models to psychopathology questionnaires to support clinical diagnoses. We discuss a more general disjunctive model than used in previous research, the Generalized, Noisy Inputs, Deterministic …
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Assessing Robustness of the Rasch Mixture Model to Detect Differential Item Functioning - A Monte Carlo Simulation Study
… of a construct. Invariance holds when the latent trait varies consistently across subgroups; in other words, the mean differences among subgroups are only due to true latent ability differences. Differential item functioning (DIF) occurs when measurement invariance is violated. There are …
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The role of positive and negative childhood events in the risk of developing personality disorders
… and negative childhood events. Study Two used latent class analysis to profile the childhood events and personality disorder symptoms. Study Three provided an examination of the association between the latent classes of negative childhood events, positive childhood events and personality …
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Predicting Socioeconomic Success and Mental Health Outcomes for Young Adults who Dropped out of College
… happiness, depression, and stress). Five latent classes emerged from the data, which demonstrated the heterogeneity within the sample (N = 1,530). The second study then utilized the same sample to examine how transitions into adulthood predicted well-being during young adulthood while …
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ESTIMATING UNKNOWN KNOTS IN PIECEWISE LINEAR-LINEAR LATENT GROWTH MIXTURE MODELS
A piecewise linear-linear latent growth mixture model (LGMM) combines features of a piecewise linear-linear latent growth curve (LGC) model with the ideas of latent class methods all within a structural equation modeling (SEM) context. A piecewise linear-linear LGMM is an appropriate framework for …
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Student Learning Heterogeneity in School Mathematics
… grades 3, 6, and 9 dataset were analyzed using latent trait analysis (LTM) and latent class analysis (LCA). The tests were constructed to distinguish four achievement levels per grade and, either five curriculum strands (grades 3 and 6), three strands (grade 9 applied) or four strands (grade 9 …
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Dispositional Differences in Frequencies of and Reasons for Voluntary Turnover: A Latent-Class Approach
… frequencies and reasons, person-oriented latent class procedures were used to supplement information obtained from traditional, variable-oriented methods. The results of latent class cluster analysis showed that people belonging to a latent class characterized by high extraversion, …
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Identification Of Stimulant Misuse And Malingering Of Symptoms Of Attention Deficit Hyperactivity Disorder
… existing scales. The first paper identified two latent classes in the stimulant user population based on risk factors for abuse identified from literature. The second paper developed a 10-item 2-factor screener instrument, the SAMS, with satisfactory reliability and factorial validity. The third …
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