Statistical inference for agreement between multiple raters on a binary scale [0.03%]
二元量表上多个评价者之间一致性的统计推断
Sophie Vanbelle
Sophie Vanbelle
Agreement studies often involve more than two raters or repeated measurements. In the presence of two raters, the proportion of agreement and of positive agreement are simple and popular agreement measures for binary scales. These measures ...
A cluster differences unfolding method for large datasets of preference ratings on an interval scale: Minimizing the mean squared centred residuals [0.03%]
区间尺度上大型偏好评级数据集的聚类差异展开方法：最小化平均平方中心残差
Rodrigo Macías,J Fernando Vera,Willem J Heiser
Rodrigo Macías
Clustering and spatial representation methods are often used in combination, to analyse preference ratings when a large number of individuals and/or object is involved. When analysed under an unfolding model, row-conditional linear transfor...
Correcting for measurement error under meta-analysis of z-transformed correlations [0.03%]
使用z变换相关性的元分析校正测量误差
Qian Zhang,Qi Wang
Qian Zhang
This study mainly concerns correction for measurement error using the meta-analysis of Fisher's z-transformed correlations. The disattenuation formula of Spearman (American Journal of Psychology, 15, 1904, 72) is used to correct for individ...
Mixtures of [Formula: see text] factor analysers with censored responses and external covariates: An application to educational data from Peru [0.03%]
带有外部协变量的混合[公式：见正文中]因素分析与审查响应：来自秘鲁教育数据的应用
Wan-Lun Wang,Luis M Castro,Huei-Jyun Li et al.
Wan-Lun Wang et al.
Analysing data from educational tests allows governments to make decisions for improving the quality of life of individuals in a society. One of the key responsibilities of statisticians is to develop models that provide decision-makers wit...
Using cross-validation methods to select time series models: Promises and pitfalls [0.03%]
交叉验证在时间序列模型选择中的应用：承诺与陷阱
Siwei Liu,Di Jody Zhou
Siwei Liu
Vector autoregressive (VAR) modelling is widely employed in psychology for time series analyses of dynamic processes. However, the typically short time series in psychological studies can lead to overfitting of VAR models, impairing their p...
On generating plausible values for multilevel modelling with large-scale-assessment data [0.03%]
基于大规模教育评估数据的多层模型的合理值生成方法研究
Xiaying Zheng
Xiaying Zheng
Large-scale assessments (LSAs) routinely employ latent regressions to generate plausible values (PVs) for unbiased estimation of the relationship between examinees' background variables and performance. To handle the clustering effect commo...
A correlated traits correlated (methods - 1) multitrait-multimethod model for augmented round-robin data [0.03%]
一种用于增强的轮转数据的相关特征和相关方法的多特征-多方法模型（I）
David Jendryczko,Fridtjof W Nussbeck
David Jendryczko
We didactically derive a correlated traits correlated (methods - 1) [CTC(M - 1)] multitrait-multimethod (MTMM) model for dyadic round-robin data augmented by self-reports. The model is an extension of the CTC(M - 1) model for cross-classifi...
A sequential exploratory diagnostic model using a Pólya-gamma data augmentation strategy [0.03%]
一种使用Pólya-gamma数据求简策略的顺序探索性诊断模型
Auburn Jimenez,James Joseph Balamuta,Steven Andrew Culpepper
Auburn Jimenez
Cognitive diagnostic models provide a framework for classifying individuals into latent proficiency classes, also known as attribute profiles. Recent research has examined the implementation of a Pólya-gamma data augmentation strategy bina...
Which method delivers greater signal-to-noise ratio: Structural equation modelling or regression analysis with weighted composites? [0.03%]
结构方程模型和基于加权复合变量的回归分析哪个信噪比更高？
Ke-Hai Yuan,Yongfei Fang
Ke-Hai Yuan
Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analys...