Nimon21 {mulSEM} | R Documentation |
Raw data used in Nimon, Joo, and Bontrager (2021)
Description
This dataset includes the raw data of 13 variables reported by Nimon, Joo, and Bontrager (2021).
Usage
data("Nimon21")
Details
A data frame of 13 variables.
Source
Nimon, K., Joo, B.-K. (Brian), & Bontrager, M. (2021). Work cognitions and work intentions: A canonical correlation study. Human Resource Development International, 24(1), 65-91. https://doi.org/10.1080/13678868.2020.1775038
References
Gu, F., & Cheung, M. W.-L. (2023). A Model-based approach to multivariate principal component regression: Selection of principal components and standard error estimates for unstandardized regression coefficients. British Journal of Mathematical and Statistical Psychology, 76(3), 605-622. https://doi.org/10.1111/bmsp.12301 Gu, F., Yung, Y.-F., Cheung, M. W.-L. Joo, B.-K., & Nimon, K. (2023). Statistical inference in redundancy analysis: A direct covariance structure modeling approach. Multivariate Behavioral Research, 58(5), 877-893. https://doi.org/10.1080/00273171.2022.2141675
Examples
data(Nimon21)
## Redundancy Analysis
rda(X_vars=c("AU", "CC", "CL", "CO", "DF", "FB", "GR", "MW"),
Y_vars=c("IDE", "IEE", "IOCB", "IPR", "ITS"),
data=Nimon21)
## Multivariate Principal Component Regression
mpcr(X_vars=c("AU", "CC", "CL", "CO", "DF", "FB", "GR", "MW"),
Y_vars=c("IDE", "IEE", "IOCB", "IPR", "ITS"),
pca="COR", pc_select=1,
data=Nimon21)