Itai Dattner
Itai Dattner
In this study we introduce an innovative mathematical and statistical framework for the analysis of motion energy dynamics in psychotherapy sessions. Our method combines motion energy dynamics with coupled linear ordinary differential equat...
Assessing quality of selection procedures: Lower bound of false positive rate as a function of inter-rater reliability [0.03%]
评价选择程序的质量：虚假阳性率的下限作为评分者一致性函数
František Bartoš,Patrícia Martinková
František Bartoš
Inter-rater reliability (IRR) is one of the commonly used tools for assessing the quality of ratings from multiple raters. However, applicant selection procedures based on ratings from multiple raters usually result in a binary outcome; the...
The effective sample size in Bayesian information criterion for level-specific fixed and random-effect selection in a two-level nested model [0.03%]
两层嵌套模型中基于贝叶斯信息准则的层面特定固定效应和随机效应选择的有效样本量公式
Sun-Joo Cho,Hao Wu,Matthew Naveiras
Sun-Joo Cho
Popular statistical software provides the Bayesian information criterion (BIC) for multi-level models or linear mixed models. However, it has been observed that the combination of statistical literature and software documentation has led to...
A comparison of different measures of the proportion of explained variance in multiply imputed data sets [0.03%]
多重插补数据集解释方差比例不同度量的比较
Joost R van Ginkel,Julian D Karch
Joost R van Ginkel
The proportion of explained variance is an important statistic in multiple regression for determining how well the outcome variable is predicted by the predictors. Earlier research on 20 different estimators for the proportion of explained ...
A two-step item bank calibration strategy based on 1-bit matrix completion for small-scale computerized adaptive testing [0.03%]
一种基于1比特矩阵补全的、适用于小规模计算机化自适应测试的两阶段项目标定策略
Yawei Shen,Shiyu Wang,Houping Xiao
Yawei Shen
Computerized adaptive testing (CAT) is a widely embraced approach for delivering personalized educational assessments, tailoring each test to the real-time performance of individual examinees. Despite its potential advantages, CAT�s applicat...
Sample size determination for interval estimation of the prevalence of a sensitive attribute under non-randomized response models [0.03%]
非随机响应模型下敏感属性流行率区间估计的样本量确定方法
Shi-Fang Qiu,Jie Lei,Wai-Yin Poon et al.
Shi-Fang Qiu et al.
A sufficient number of participants should be included to adequately address the research interest in the surveys with sensitive questions. In this paper, sample size formulas/iterative algorithms are developed from the perspective of contr...
Assessment of fit of the time-varying dynamic partial credit model using the posterior predictive model checking method [0.03%]
基于后验预测检验法的时变动态部分信用模型适用性评价研究
Sebastian Castro-Alvarez,Sandip Sinharay,Laura F Bringmann et al.
Sebastian Castro-Alvarez et al.
Several new models based on item response theory have recently been suggested to analyse intensive longitudinal data. One of these new models is the time-varying dynamic partial credit model (TV-DPCM; Castro-Alvarez et al., Multivariate Beh...
When and how to use set-exploratory structural equation modelling to test structural models: A tutorial using the R package lavaan [0.03%]
何时以及如何使用集-探索性结构方程模型来检验结构模型： 使用R包lavaan的教程
Herb Marsh,Abdullah Alamer
Herb Marsh
Exploratory structural equation modelling (ESEM) is an alternative to the well-known method of confirmatory factor analysis (CFA). ESEM is mainly used to assess the quality of measurement models of common factors but can be efficiently exte...
Fast estimation of generalized linear latent variable models for performance and process data with ordinal, continuous, and count observed variables [0.03%]
广义线性潜变量模型的快速估计用于处理有序、连续和计数观测变量的成绩与过程数据
Maoxin Zhang,Björn Andersson,Shaobo Jin
Maoxin Zhang
Different data types often occur in psychological and educational measurement such as computer-based assessments that record performance and process data (e.g., response times and the number of actions). Modelling such data requires specifi...
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models [0.03%]
贝叶斯线性和非线性交叉随机效应模型的可识别性和可估计性
Corissa T Rohloff,Nidhi Kohli,Eric F Lock
Corissa T Rohloff
Crossed random effects models (CREMs) are particularly useful in longitudinal data applications because they allow researchers to account for the impact of dynamic group membership on individual outcomes. However, no research has determined...