Heeding supply chain disruption warnings: When and how do cross‐functional teams ensure firm robustness?

TA de Vries, GS van der Vegt… - Journal of Supply …, 2022 - Wiley Online Library
Firms can adopt several strategies to increase their robustness to potential supply chain
(SC) disruptions. One promising strategy is the use of a cross‐functional team with …

The spillover effect of implicit immigrant stereotypes and incidental pandemic threat

M Duque, D De Coninck, P Montero-Zamora… - International Journal of …, 2024 - Elsevier
The uncertainty brought about by COVID-19 in times of mass migration adds an extra layer
of perceived threat and competition for resources among host residents in migrant-receiving …

On standardizing within-person effects: Potential problems of global standardization

L Wang, Q Zhang, SE Maxwell… - Multivariate Behavioral …, 2019 - Taylor & Francis
Person-mean centering has been recommended for disaggregating between-person and
within-person effects when modeling time-varying predictors. Multilevel modeling textbooks …

[PDF][PDF] 纵向数据的中介效应分析

方杰, 温忠麟, 邱皓政 - 心理科学, 2021 - rlzy.gdufe.edu.cn
摘要目前中介效应检验主要是基于截面数据, 但许多时候截面数据的中介分析不适合进行因果
推断, 因而需要收集历时性的纵向数据, 进行纵向数据的中介分析. 评介了基于交叉滞后面板模型 …

Intensive longitudinal mediation in Mplus.

D McNeish, DP MacKinnon - Psychological methods, 2022 - psycnet.apa.org
Much of the existing longitudinal mediation literature focuses on panel data where relatively
few repeated measures are collected over a relatively broad timespan. However …

Towards optimal treatment selection for borderline personality disorder patients (BOOTS): a study protocol for a multicenter randomized clinical trial comparing …

CJM Wibbelink, A Arntz, RPPP Grasman, R Sinnaeve… - BMC psychiatry, 2022 - Springer
Background Specialized evidence-based treatments have been developed and evaluated
for borderline personality disorder (BPD), including Dialectical Behavior Therapy (DBT) and …

A single-level random-effects cross-lagged panel model for longitudinal mediation analysis

W Wu, IA Carroll, PY Chen - Behavior Research Methods, 2018 - Springer
Cross-lagged panel models (CLPMs) are widely used to test mediation with longitudinal
panel data. One major limitation of the CLPMs is that the model effects are assumed to be …

Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T

Y Fang, L Wang - Structural Equation Modeling: A Multidisciplinary …, 2024 - Taylor & Francis
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive
longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of …

Mediation analyses of intensive longitudinal data with dynamic structural equation modeling

J Fang, Z Wen, KT Hau - Structural Equation Modeling: A …, 2024 - Taylor & Francis
Currently, dynamic structural equation modeling (DSEM) and residual DSEM (RDSEM) are
commonly used in testing intensive longitudinal data (ILD). Researchers are interested in …

Meta-analysis of correlation coefficients: A cautionary tale on treating measurement error.

Q Zhang - Psychological Methods, 2022 - psycnet.apa.org
A scale to measure a psychological construct is subject to measurement error. When meta-
analyzing correlations obtained from scale scores, many researchers recommend correcting …