Nimon21: Raw data used in Nimon, Joo, and Bontrager (2021)

In mulSEM: Some Multivariate Analyses using Structural Equation Modeling

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

Nimon21

Format

A data frame with 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. \Sexpr[results=rd]{tools:::Rd_expr_doi("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. \Sexpr[results=rd]{tools:::Rd_expr_doi("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. \Sexpr[results=rd]{tools:::Rd_expr_doi("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)

mulSEM documentation built on Feb. 17, 2026, 1:07 a.m.