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Latent Variable Forests for Latent Variable Score Estimation. [PDF]
Educ Psychol MeasWe develop a latent variable forest (LV Forest) algorithm for the estimation of latent variable scores with one or more latent variables. LV Forest estimates unbiased latent variable scores based on confirmatory factor analysis (CFA) models with ordinal and/or numerical response variables.
Classe F, Kern C.
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Family resilience, emotional intelligence, and non-suicidal self-injury among Chinese adolescents with mental disorders: a latent variable mediation analysis [PDF]
Frontiers in PsychiatryBackgroundNon-suicidal self-injury (NSSI) is a common malpractice in adolescents with mental disorders. It may lead to suicide or other adverse consequences, thus affecting the treatment and rehabilitation of patients. We herein analyzed the relationship
Zhengmin Zhu +5 more
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Proportion Explained Component Variance in Second-Order Scales: A Note on a Latent Variable Modeling Approach. [PDF]
Educ Psychol MeasRaykov T, DiStefano C, Ransome Y.
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Multi-Scale Multi-Kernel Gaussian Process Latent Variable Model [PDF]
Jisuanji gongcheng, 2021 As an unsupervised Bayesian non-parameter dimension reduction model,the Gaussian Process Latent Variable Model(GPLVM) fails to efficiently utilize semantic label information of data.Moreover,it just assumes that the features of all observed variables are
ZHOU Peichun, WU Lan'an
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Buildings, 2022 Public landscape efficiency is one of the research hotspots in contemporary landscape performance. The renewal of micro landscape space has positive effects on community vitality and the sustainable development of landscape resources.
Zhe Li +4 more
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Longitudinal Invariance Analysis of the Short Grit Scale in Chinese Young Adults
Frontiers in Psychology, 2020 The current study examined the longitudinal measurement invariance (LMI) of the Short Grit Scale (Grit-S) in a survey sample of Chinese young adults (N = 233, 48.9% male, mean age = 19.36 years, SD = 0.90 years) who completed the Grit-S twice over a 3 ...
Jie Luo +6 more
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Testing and Interpreting Latent Variable Interactions Using the semTools Package
Psych, 2021 Examining interactions among predictors is an important part of a developing research program. Estimating interactions using latent variables provides additional power to detect effects over testing interactions in regression.
Alexander M. Schoemann +1 more
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The use of latent variable models in policy: A road fraught with peril?
Bio-based and Applied Economics, 2020 This paper explores the potential usefulness and possible pitfalls of using integrated choice and latent variable models (hybrid choice models) on stated choice data to inform policy.
Danny Campbell, Erlend Dancke Sandorf
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Frontiers in Psychology, 2019 The primary goal of the present study was to examine the latent factor structure and measurement invariance (MI) of the Youth Psychopathic Traits Inventory-Child Version (YPI-CV) in a sample of Chinese children.
Fen Ren +11 more
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Latent class analysis variable selection [PDF]
, 2009 We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering ...
A.E. Raftery +19 more
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