Results 21 to 30 of about 275,998 (257)
Inferring causal phenotype networks using structural equation models
Genetics Selection Evolution, 2011 Phenotypic traits may exert causal effects between them. For example, on the one hand, high yield in dairy cows may increase the liability to certain diseases and, on the other hand, the incidence of a disease may affect yield negatively.
de los Campos Gustavo +5 more
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On Structural Equation Model Equivalence
Multivariate Behavioral Research, 1999 A necessary and sufficient condition for equivalence of structural equation models is presented. Compared to existing rules for equivalent model generation (Stelzl, 1986; Lee & Hershberger, 1990; Hershberger, 1994), it is applicable to a more general class including models with parameter restrictions and models that may or may not fulfil assumptions of
Raykov, T, Penev, Spiridon
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Subgroup discovery in structural equation models.
Psychological Methods, 2021 Structural equation modeling (SEM) is one of the most popular statistical frameworks in the social and behavioural sciences. Often, detection of groups with distinct sets ofparameters in structural equation models (SEM) are of key importance for appliedresearchers, for example, when investigating differential item functioning for a mentalability test ...
Christoph Kiefer +3 more
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Automated Bot Detection Using Bayesian Latent Class Models in Online Surveys
Frontiers in Psychology, 2022 Behavioral scientists have become increasingly reliant on online survey platforms such as Amazon's Mechanical Turk (Mturk). These platforms have many advantages, for example it provides ease of access to difficult to sample populations, a large pool of ...
Zachary Joseph Roman +2 more
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Fitting Nonlinear Structural Equation Models in R with Package nlsem
Journal of Statistical Software, 2017 Structural equation mixture modeling (SEMM) has become a standard procedure in latent variable modeling over the last two decades (Jedidi, Jagpal, and DeSarbo 1997b; Muthén and Shedden 1999; Muthén 2001, 2004; Muthén and Asparouhov 2009).
Nora Umbach +3 more
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Potential Therapeutic Targets in People with Emotional Dependency
International Journal of Psychological Research, 2019 Objective: To examine the relationship between the components of emotional dependency (ED) with anxious, depressive, and impulsive symptomatology. Method: 98 university students (68% women, age M = 20.2 years, ED = 2.19) responded to the ED Questionnaire
Mariantonia Lemos +2 more
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A General Nonlinear Multilevel Structural Equation Mixture Model
Frontiers in Psychology, 2014 In the past 2 decades latent variable modeling has become a standard tool in the social sciences. In the same time period, traditional linear structural equation models have been extended to include nonlinear interaction and quadratic effects (e.g ...
Augustin eKelava, Holger eBrandt
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Dynamic Structural Equation Models
Structural Equation Modeling: A Multidisciplinary Journal, 2017 This article presents dynamic structural equation modeling (DSEM), which can be used to study the evolution of observed and latent variables as well as the structural equation models over time. DSEM is suitable for analyzing intensive longitudinal data where observations from multiple individuals are collected at many points in time.
Asparouhov, T. +2 more
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Model-Based Manifest and Latent Composite Scores in Structural Equation Models
Collabra: Psychology, 2019 Composite scores are commonly used in the social sciences as dependent and independent variables in statistical models. Typically, composite scores are computed prior to statistical analyses.
Norman Rose +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko +19 more
wiley +1 more source