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Joint Latent Space Model for Social Networks with Multivariate Attributes
In social, behavioral and economic sciences, researchers are interested in modeling a social network among a group of individuals, along with their...
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A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times
Traditional measurement models assume that all item responses correlate with each other only through their underlying latent variables. This conditiona...
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How Social Networks Influence Human Behavior: An Integrated Latent Space Approach for Differential Social Influence
How social networks influence human behavior has been an interesting topic in applied research. Existing methods often utilized scale-level...
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A Latent Hidden Markov Model for Process Data
Response process data from computer-based problem-solving items describe respondents’ problem-solving processes as sequences of actions. Such data...
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Generic Identifiability of the DINA Model and Blessing of Latent Dependence
Cognitive diagnostic models are a powerful family of fine-grained discrete latent variable models in psychometrics. Within this family, the DINA...
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Distilling vector space model scores for the assessment of constructed responses with bifactor Inbuilt Rubric method and latent variables
In this paper, we highlight the importance of distilling the computational assessments of constructed responses to validate the indicators/proxies of...
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Map** Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map
Classic item response models assume that all items with the same difficulty have the same response probability among all respondents with the same...
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Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models
We present generalized additive latent and mixed models (GALAMMs) for analysis of clustered data with responses and latent variables depending...
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Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
Latent variable models have been playing a central role in psychometrics and related fields. In many modern applications, the inference based on...
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Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model
The asymptotic posterior normality (APN) of the latent variable vector in an item response theory (IRT) model is a crucial argument in IRT modeling...
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Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation
Restricted latent class models (RLCMs) provide an important framework for diagnosing and classifying respondents on a collection of multivariate...
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Social Network Mediation Analysis: A Latent Space Approach
A social network comprises both actors and the social connections among them. Such connections reflect the dependence among social actors, which is...
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Ordinal Outcome State-Space Models for Intensive Longitudinal Data
Intensive longitudinal (IL) data are increasingly prevalent in psychological science, coinciding with technological advancements that make it simple...
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Fully Latent Principal Stratification: Combining PS with Model-Based Measurement Models
Despite prominent potentials of randomized controlled trials (RCTs) with computer-based interventions, log data poses a challenge since it differs in...
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A two-step estimator for multilevel latent class analysis with covariates
We propose a two-step estimator for multilevel latent class analysis (LCA) with covariates. The measurement model for observed items is estimated in...
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Flow with an intelligent tutor: A latent variable modeling approach to tracking flow during artificial tutoring
Increasing use of intelligent tutoring systems in education calls for analytic methods that can unravel students’ learning behaviors. In this study,...
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Joint Modelling of Latent Cognitive Mechanisms Shared Across Decision-Making Domains
Decision-making behavior is often understood using the framework of evidence accumulation models (EAMs). Nowadays, EAMs are applied to various...
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The Benefits of Work: A Meta-analysis of the Latent Deprivation and Agency Restriction Models
Despite conclusive evidence about the positive impact of working relative to unemployment for psychological well-being, there remains much...
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A Latent Space Network Model for Social Influence
Social network data represent interactions and relationships among groups of individuals. One aspect of social interaction is social influence, the...
