Results 21 to 30 of about 140,759 (263)
Frontiers in Psychology, 2017 Population heterogeneity in growth trajectories can be detected with growth mixture modeling (GMM). It is common that researchers compute composite scores of repeated measures and use them as multiple indicators of growth factors (baseline performance ...
Eun Sook Kim, Yan Wang
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The Latent Class Twin Method [PDF]
Biometrics, 2016 Summary The twin method refers to the use of data from same-sex identical and fraternal twins to estimate the genetic and environmental contributions to a trait or outcome. The standard twin method is the variance component twin method that estimates heritability, the fraction of variance attributed to additive genetic inheritance.
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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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Which Policies and Factors Drive Electric Vehicle Use in Nepal?
Energies, 2023 Electric vehicles (EVs) offer a viable technological solution for mitigating greenhouse gas emissions in the transportation industry, addressing pressing societal concerns regarding climate change, air pollution, and sustainable energy consumption.
Laxman Prasad Ghimire +2 more
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Methodology, 2023 Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression ...
Yan Wang, Tonghui Xu, Jiabin Shen
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Clustering Longitudinal Data Using R: A Monte Carlo Study
Methodology, 2022 The analysis of change within subjects over time is an ever more important research topic. Besides modelling the individual trajectories, a related aim is to identify clusters of subjects within these trajectories.
Peter Verboon, Ron Pat-El
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Assessing Italians' Preferences for Mountain Beef Production Using a Best–Worst Scaling Approach
Mountain Research and Development, 2022 The European Union (EU) regulation on mountain food products represents a great opportunity for beef producers in mountain areas, particularly as the quality-certified food has received more attention from European consumers in recent years. However, for
Mikael Oliveira Linder +4 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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FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
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Deciding on the Starting Number of Classes of a Latent Class Tree [PDF]
Sociological Methodology, 2018 In recent studies, latent class tree (LCT) modeling has been proposed as a convenient alternative to standard latent class (LC) analysis. Instead of using an estimation method in which all classes are formed simultaneously given the specified number of classes, in LCT analysis a hierarchical structure of mutually linked classes is obtained by ...
Mattis van den Bergh +2 more
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