Results 21 to 30 of about 679,297 (329)
Differential item functioning across gender with MIMIC modeling: PISA 2018 financial literacy items
International Journal of Assessment Tools in Education, 2022 The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. Data were 953 students from the USA who participated in the PISA 2018 8th-grade financial literacy assessment.
Fatıma Münevver Saatçioğlu
doaj +1 more source
Latent Variable Model for Multi-modal Translation [PDF]
, 2019 In this work, we propose to model the interaction between visual and textual features for multi-modal neural machine translation (MMT) through a latent variable model. This latent variable can be seen as a multi-modal stochastic embedding of an image and
Aziz, Wilker +2 more
core +2 more sources
A geoadditive Bayesian latent variable model for Poisson indicators [PDF]
, 2006 We introduce a new latent variable model with count variable indicators, where usual linear parametric effects of covariates, nonparametric effects of continuous covariates and spatial effects on the continuous latent variables are modelled through a ...
Fahrmeir, Ludwig, Steinert, Sven
core +3 more sources
Shanghai archives of psychiatry, 2012 In this chapter, we again consider the problem of selecting attributes to appear in the discrete choice analysis model, but in this case latent variable modeling is used to consider the customer attitude and perception in the choice model more comprehensively than in the previous chapters.
Wei Chen +2 more
openaire +3 more sources
The Use of Loglinear Models for Assessing Differential Item Functioning Across Manifest and Latent Examinee Groups [PDF]
, 1990 Loglinear latent class models are used to detect differential item functioning (DIF). These models are formulated in such a manner that the attribute to be assessed may be continuous, as in a Rasch model, or categorical, as in Latent Class Mastery models.
Kelderman, Henk, Macready, George B.
core +6 more sources
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Recently, there has been a focus on drawing progress on representation learning to obtain more identifiable and interpretable latent representations for spike trains, which helps analyze neural population activity and understand neural mechanisms.
Yicong Huang, Zhu Liang Yu
doaj +1 more source
Engineering Reports, 2022 It is known that how individuals perceive the situation result in choices. However, it is unknown, how drivers process the information of vehicle malfunctions based on the situation at hand.
Mahdi Rezapour, Khaled Ksaibati
doaj +1 more source
A dynamic latent variable model for source separation [PDF]
, 2018 We propose a novel latent variable model for learning latent bases for time-varying non-negative data. Our model uses a mixture multinomial as the likelihood function and proposes a Dirichlet distribution with dynamic parameters as a prior, which we call
Ghosh, Prasanta +2 more
core +1 more source
MEASUREMENT MODEL OF BEHAVIORAL INTENTION TO SUBSCRIBE YOUTUBE CHANNEL CONTENT USING UTAUT 2 MODEL [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2019 This study research about measurement model of behavioral intention to subscribe YouTube Channel content named Kidz with SEM-PLS. Kidz is a Youtube Channel content that share videos for kids. The samples of this research were Kidz users aged 7-12 through
Putri M.K.N. +2 more
doaj +1 more source
A Bayesian semiparametric latent variable model for mixed responses [PDF]
, 2006 In this article we introduce a latent variable model (LVM) for mixed ordinal and continuous responses, where covariate effects on the continuous latent variables are modelled through a flexible semiparametric predictor. We extend existing LVM with simple
Fahrmeir, Ludwig, Raach, Alexander
core +4 more sources