Testing indirect effect with a complete or incomplete dichotomous mediator [0.03%]
使用完全的或不完全的二分中介变量检验间接效应
Fan Jia,Wei Wu,Po-Yi Chen
Fan Jia
Past methodological research on mediation analysis mainly focused on situations where all variables were complete and continuous. When issues of categorical data occur combined with missing data, more methodological considerations are invol...
Corrigendum [0.03%]
勘误表
Variational Bayes inference for hidden Markov diagnostic classification models [0.03%]
变分贝叶斯隐马尔可夫诊断分类模型推理方法研究
Kazuhiro Yamaguchi,Alfonso J Martinez
Kazuhiro Yamaguchi
Diagnostic classification models (DCMs) can be used to track the cognitive learning states of students across multiple time points or over repeated measurements. This study developed an effective variational Bayes (VB) inference method for ...
Causality and prediction in structural equation modeling: A commentary by Yutaka Kano on: "Which method delivers greater signal-to-noise ratio: Structural equation modeling or regression analysis with weighted composites?" by Yuan and Fang [0.03%]
结构方程模型中的因果关系和预测：Yutaka Kano对Yuan和Fang的论文“结构方程模型与基于加权合成的回归分析，哪个方法具有更高的信噪比？”的评论
Yutaka Kano
Yutaka Kano
A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing [0.03%]
计算机化测试中异常行为的序列贝叶斯变点检测方法
Jing Lu,Chun Wang,Jiwei Zhang et al.
Jing Lu et al.
Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is essential to properly differentiate examinees' aberrant behaviours from solution behaviour to ensure test...
Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023) [0.03%]
关于结构方程模型研究中信号噪声比的过早结论：对袁和方（2023）的研究评论
Florian Schuberth,Tamara Schamberger,Mikko Rönkkö et al.
Florian Schuberth et al.
In a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by ...
A dual process item response theory model for polytomous multidimensional forced-choice items [0.03%]
一种用于多项强迫选择项目的二元过程项目反应理论模型
Xuelan Qiu,Jimmy de la Torre
Xuelan Qiu
The use of multidimensional forced-choice (MFC) items to assess non-cognitive traits such as personality, interests and values in psychological tests has a long history, because MFC items show strengths in preventing response bias. Recently...
Christoph Koenig,Benjamin Becker,Esther Ulitzsch
Christoph Koenig
Response time modelling is developing rapidly in the field of psychometrics, and its use is growing in psychology. In most applications, component models for response times are modelled jointly with component models for responses, thereby s...
A model-based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients [0.03%]
基于模型的多元主成分回归方法：选择主成分和估计未标准化回归系数的标准误差
Fei Gu,Mike W-L Cheung
Fei Gu
Principal component regression (PCR) is a popular technique in data analysis and machine learning. However, the technique has two limitations. First, the principal components (PCs) with the largest variances may not be relevant to the outco...
Heterogeneous heterogeneity by default: Testing categorical moderators in mixed-effects meta-analysis [0.03%]
默认的异质性异质性：在混合效应meta分析中检验分类调节变量
Josue E Rodriguez,Donald R Williams,Paul-Christian Bürkner
Josue E Rodriguez
Categorical moderators are often included in mixed-effects meta-analysis to explain heterogeneity in effect sizes. An assumption in tests of categorical moderator effects is that of a constant between-study variance across all levels of the...