How to Model Ambulatory Assessments Measured at Different Frequencies: An N = 1 Approach [0.03%]
如何对不同频率的门诊评估进行建模：一种N=1的方法
Sophie W Berkhout,Noémi K Schuurman,Ellen L Hamaker
Sophie W Berkhout
Ambulatory assessment has gained widespread popularity among researchers who study the dynamics of everyday experiences and behaviors, such as sleep patterns or emotional states. In this paper, we focus on the challenge that arises when we ...
Mixed-Effects Frequency-Adjusted Borders Ordinal Forest: A Tree Ensemble Method for Ordinal Prediction with Hierarchical Data [0.03%]
混合效应频度调整边界有序森林：一种用于层次数据有序预测的树集成方法
Philip Buczak
Philip Buczak
Predicting ordinal responses such as school grades or rating scale data is a common task in the social and life sciences. Currently, two major streams of methodology exist for ordinal prediction: traditional statistical models such as the p...
A Systematic Evaluation of Wording Effects Modeling Under the Exploratory Structural Equation Modeling Framework [0.03%]
探索性结构方程模型框架下措辞效应的系统评价
Luis Eduardo Garrido,Alexander P Christensen,Hudson Golino et al.
Luis Eduardo Garrido et al.
Wording effects, the systematic method variance arising from the inconsistent responding to positively and negatively worded items of the same construct, are pervasive in the behavioral and health sciences. Although several factor modeling ...
Equilibrium Causal Models: Connecting Dynamical Systems Modeling and Cross-Sectional Data Analysis [0.03%]
平衡因果模型：连接动态系统建模和横截面数据分析
O Ryan,F Dablander
O Ryan
Many psychological phenomena can be understood as arising from systems of causally connected components that evolve over time within an individual. In current empirical practice, researchers frequently study these systems by fitting statist...
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...