相关数据集
VIP values from PLS analysis between BPC and the explanatory variables for the data sets.
VIP>1, identifying variables most relevant for explaining BPC, are shown in bold. The direction of the association between BPC and the explanatory variables is deduced from scaled and centered coeffic
Figshare2015-12-02 更新50
Dataset for: Dealing with Dependent Effect Sizes in MASEM: A comparison of di...
Dataset and codebook for: Stolwijk, I., Jak, S., Eichelsheim, V., & Hoeve, M. (2022). Dealing With Dependent Effect Sizes in MASEM. Zeitschrift für Psychologie, 230(1),...
B2FIND40
Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling
Jöreskog’s covariance-based approach (JCA) has been considered a standard method for structural equation modeling. However, JCA is prone to the occurrence of improper solutions and cannot make probabi
Figshare2022-11-17 更新30
Study 6: Standardized path estimates for structural equation models predicting social media behaviors at baseline and one-week later.
Study 6: Standardized path estimates for structural equation models predicting social media behaviors at baseline and one-week later.
Figshare2019-10-16 更新50
Inner VIF values.
This paper seeks to identify organisational abilities that influence the company’s survival during crises. To address this issue, first–through literature review–we identified five groups of crucial o
NIAID Data Ecosystem30
