latent class
Methods and approaches for evaluating the validity of latent class models with applications
... Markov latent class analysis (MLCA) is a modeling technique that can be used to assess the classification error in survey items from a panel or longitudinal survey (Wiggins, 1973; Poulsen, 1982; Van de Pol ...
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Defining risky sexual behaviour in the UK: a latent class approach
... by latent class analysis is that the manifest variables are conditionally independent – that all their covariance is explained by the underlying risky sexual behaviour ...
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A latent class model of residential choice behaviour and ethnic segregation preferences
... The class allocation parameters explain the role of socio-demographic characteristics in driving the probabilities of belonging to the different ...posterior class characteristics ...likely class for ...
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Application of latent class analysis in assessing the competency of physicians in China
... the latent or implicit competency of the indi- vidual can be obtained through the observed and measurable behavior of the ...samples. Latent class analysis (LCA) is a person-centered statistical ...
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Psychopathy and self injurious thoughts and behaviour: application of latent class analysis
... Also contrary to expectations, the antisocial and lifestyle features of psychopathy (Factors 3 and 4 respectively; i.e., poor impulsivity, lacking goals, irresponsibility and poor behavioural controls, adolescent and ...
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Is there a nonadherent subtype of hypertensive patient? A latent class analysis approach
... A latent class analysis approach was used to identify subgroups that adhere to these five self-management ...two latent classes. The first class (labeled “more adherent”) included patients ...
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A latent class model for bivariate binary responses from twins
... a latent class model, formulated as a 2x2 table and parametrized by two marginal univariate genetic dispositions and the dependence ratio between these ...two latent dispositions is strong, the ...
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A Comparison of Statistics for Assessing Model Invariance in Latent Class Analysis
... more latent classes in the sample than were actually present in the population ...the latent class specific item response probabilities differ across known groups ...
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Statistical Methods for Latent Class Quantitative Trait Loci Mapping
... enable latent class QTL mapping. The approach combines latent class regression with stepwise variable selection and traditional QTL mapping to estimate the number of subclasses in a ...
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Investigating preferences for mosquito control technologies in Mozambique with latent class analysis
... 9.2. Latent class analysis was completed with PROC LCA ...[12]. Latent class analysis (LCA [13]) is a statistical model used to identify underlying mutually exclusive and exhaus- tive ...
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Accommodating underlying pro-environmental attitudes in a rail travel context: application of a latent variable latent class specification
... the latent variable specification that is normally distributed with a mean of zero and a standard deviation of ...the latent class specification (noting the differences in coeffi- cients between ...
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Understanding Dietary Intake Behavior of Women in India: A Latent Class Approach
... of latent grouping or classes representing different dietary intake ...and latent or class variables are categorical and the observed responses to the manifest variables are assumed to be mutually ...
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Latent trait and latent class models in survey analysis: Case studies in public perceptions of biotechnology
... the latent variable(s) and observed items. Latent trait and latent class models, however, specify a logistic rather than a linear model (binary or multinomial for binary or polytomous observed ...
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lclogit2: An enhanced module to estimate latent class conditional logit models
... There is a well-known variant of rank-ordering known as best-worst scaling (BWS) (Louviere, Flynn and Marley, 2015). In an “object case” BWS task, the decision maker examines a set of attributes, say {salary, parking, ...
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Subgroups of lifestyle patterns among hypertension patients: a latent-class analysis
... Effective lifestyle modification programs and affordable strategies to control high blood pressure would benefit the at-risk populations [12]. The main causes of mortal- ity in adults, especially in older adults, are ...
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Internet Gamblers: A Latent Class Analysis of Their Behaviours and Health Experiences
... applied latent class analysis to respondents’ patterns of regular online gambling activities, and identified subgroups of individuals who used the Internet to gamble in different ways (L 2 = ...
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An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling
... and class probabilities (not shown ...the latent class number assigned by ...three- class model was estimated. One can easily export this class assignment information back into the ...
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A flexible latent class approach to estimating test-score reliability
... restricted latent class model. Compared to the unrestricted latent class model this means the ...unrestricted latent class model can optimally divide the sample over all classes, ...
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Robustness of stepwise latent class modeling with continuous distal outcomes
... Latent class (LC) analysis is a method widely used in the social and behavioral sciences to group individuals based on their responses on a set of observed variables (Goodman, ...for latent classes ...
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Using a Latent Class Forest to Identify At-Risk Students in Higher Education
... For future work, a surrogate split method can be introduced to deal with missing values at each split rather than imputing the missing values before building the model (Feelders, 1999). Ideally, this surrogate split ...
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