Investigating heterogeneity in IRTree models for multiple response processes with score-based partitioning [0.03%]
基于分数划分的IRT树模型中多重响应过程异质性的研究
Rudolf Debelak,Thorsten Meiser,Alicia Gernand
Rudolf Debelak
Item response tree (IRTree) models form a family of psychometric models that allow researchers to control for multiple response processes, such as different sorts of response styles, in the measurement of latent traits. While IRTree models ...
A convexity-constrained parameterization of the random effects generalized partial credit model [0.03%]
具有凸性约束的随机效应广义部分贷方模型的参数化
David J Hessen
David J Hessen
An alternative closed-form expression for the marginal joint probability distribution of item scores under the random effects generalized partial credit model is presented. The closed-form expression involves a cumulant generating function ...
Handling missing data in variational autoencoder based item response theory [0.03%]
基于变分自编码器的项目反应理论中的处理缺失数据的方法
Karel Veldkamp,Raoul Grasman,Dylan Molenaar
Karel Veldkamp
Recently Variational Autoencoders (VAEs) have been proposed as a method to estimate high dimensional Item Response Theory (IRT) models on large datasets. Although these improve the efficiency of estimation drastically compared to traditiona...
Alessandro Barbiero
Alessandro Barbiero
We consider the problem of determining the maximum value of the point-polyserial correlation between a random variable with an assigned continuous distribution and an ordinal random variable with k $$ k $$ categories, which are assigned...
Perturbation graphs, invariant causal prediction and causal relations in psychology [0.03%]
扰动图、不变因果预测和心理学中的因果关系
Lourens Waldorp,Jolanda Kossakowski,Han L J van der Maas
Lourens Waldorp
Networks (graphs) in psychology are often restricted to settings without interventions. Here we consider a framework borrowed from biology that involves multiple interventions from different contexts (observations and experiments) in a sing...
Yang Liu,Jolynn Pek,Alberto Maydeu-Olivares
Yang Liu
Reliability is an essential measure of how closely observed scores represent latent scores (reflecting constructs), assuming some latent variable measurement model. We present a general theoretical framework of reliability, placing emphasis...
Pairwise likelihood estimation and limited-information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling [0.03%]
二元因素分析模型在复杂抽样调查下的成对似然估计和有限信息拟合优度检验统计量
Haziq Jamil,Irini Moustaki,Chris Skinner
Haziq Jamil
This paper discusses estimation and limited-information goodness-of-fit test statistics in factor models for binary data using pairwise likelihood estimation and sampling weights. The paper extends the applicability of pairwise likelihood e...
A unified EM framework for estimation and inference of normal ogive item response models [0.03%]
正态偏态项目反应模型估计和推理的统一期望最大化框架
Xiangbin Meng,Gongjun Xu
Xiangbin Meng
Normal ogive (NO) models have contributed substantially to the advancement of item response theory (IRT) and have become popular educational and psychological measurement models. However, estimating NO models remains computationally challen...
Sunbeom Kwon,Susu Zhang,Hans Friedrich Köhn et al.
Sunbeom Kwon et al.
Bayesian analysis relies heavily on the Markov chain Monte Carlo (MCMC) algorithm to obtain random samples from posterior distributions. In this study, we compare the performance of MCMC stopping rules and provide a guideline for determinin...
Constructing tests for skill assessment with competence-based test development [0.03%]
基于胜任力的测试开发中的技能评估测试构建
Pasquale Anselmi,Jürgen Heller,Luca Stefanutti et al.
Pasquale Anselmi et al.
Competence-based test development is a recent and innovative method for the construction of tests that are as informative as possible about the competence state (the set of skills an individual has available) underlying the observed item re...