Unique Contributions of Dynamic Affect Indicators - Beyond Static Variability [0.03%]
动态情感指标的独特贡献-超越静态变异
Kenneth Koslowski,Jana Holtmann
Kenneth Koslowski
Indicators of affect dynamics (IADs) capture temporal dependencies and instability in affective trajectories over time. However, the relevance of IADs for the prediction of time-invariant outcomes (e.g., depressive symptoms) was recently ch...
How to Get MAD: Generating Uniformly Sampled Correlation Matrices with a Fixed Mean Absolute Discrepancy [0.03%]
如何获取MAD：生成具有固定平均绝对差异的均匀采样相关矩阵
Niels G Waller
Niels G Waller
This article describes a simple and fast algorithm for generating uniformly sampled correlation matrices (R) with a fixed mean absolute discrepancy (MAD) relative to a target (population) Rpop. The algorithm can be profitably used in many s...
How to Capture Synchronization in Triads in One Single Measure: Development of the AMPC Measure and an Associated Significance Test [0.03%]
一次性测量三元组同步的定量方法及显著性检验方法的发展
Shiyao Wang,Chiara Carlier,Martine W F T Verhees et al.
Shiyao Wang et al.
Interpersonal synchronization is a concept often studied in psychology. Whereas most research focuses on dyads, triadic systems such as family triads warrant increased attention. A crucial challenge in taking a triadic view on synchronizati...
Empirical Bayes Priors for MCMC Estimation of the Multivariate Social Relations Model [0.03%]
多元社会关系模型MCMC估计的经验贝叶斯先验分布
Aditi M Bhangale,Terrence D Jorgensen
Aditi M Bhangale
The social relations model (SRM) is a linear random-effects model applied to examine dyadic round-robin data within social networks. Such data have a unique multilevel structure in that dyads are cross-classified within individuals who may ...
Disaggregating Associations of Between-Person Differences in Change over Time from Within-Person Associations in Longitudinal Data [0.03%]
纵向数据分析中分解个体差异和个体变化的相关关系
Lesa Hoffman
Lesa Hoffman
Longitudinal designs afford the opportunity to examine the many different ways in which variables can be related over time, which can be both a blessing and a curse. Much has been written about the need to distinguish between-person relatio...
How to Estimate Intraclass Correlation Coefficients for Interrater Reliability from Planned Incomplete Data [0.03%]
如何从计划的不完整数据估计评价者可靠性的组内相关系数
Debby Ten Hove,Terrence D Jorgensen,L Andries Van der Ark
Debby Ten Hove
The interrater reliability (IRR) of observational data is often estimated by means of intraclass correlation coefficients (ICCs), which are flexible IRR estimators that are based on the variance decomposition of scores obtained by observati...
Estimating IRT Models Under Gaussian Mixture Modeling of Latent Traits: An Application of MSAEM Algorithm [0.03%]
基于高斯混合模型的IRT模型估计：MSAEM算法的应用
Siyao Cheng,Xiangbin Meng
Siyao Cheng
The assumption of a normal distribution for latent traits is a common practice in item response theory (IRT) models. Numerous studies have demonstrated that this assumption is often inadequate, impacting the accuracy of statistical inferenc...
Rnest: An R Package for the Next Eigenvalue Sufficiency Test for Factor Analysis [0.03%]
基于特征分析的下一个特征值充分性检验的R包RNest
Pier-Olivier Caron
Pier-Olivier Caron
To address the challenge of determining the number of factors to retain in exploratory factor analysis, a plethora of techniques, called stopping rules, has been developed, compared and widely used among researchers. Despite no definitive s...
Causal Inference with Unobserved Confounding: Leveraging Negative Control Outcomes Using Lavaan [0.03%]
具有未观察到的混淆变量的因果推理：利用负面结果控制使用Lavaan方法
Wen Wei Loh
Wen Wei Loh
Causal conclusions about non-randomized treatments rest on the absence of unobserved confounding. While often made in practice, this fundamental yet empirically untestable assumption can rarely be definitively justified. In most realistic s...
Ruling out Latent Time-Varying Confounders in Two-Variable Multi-Wave Studies [0.03%]
排除两变量多阶段研究中的潜在时变混淆因素
David A Kenny,D Betsy McCoach
David A Kenny
There has been considerable interest in estimating causal cross-lagged effects in two-variable, multi-wave designs. However, there does not currently exist a strategy for ruling out unmeasured time-varying covariates that may act as confoun...