A Guide to Using the R Package “multiColl” for Detecting Multicollinearity

Salmerón-Gómez, Román; García-García, Catalina; Pérez, José Ignacio García

doi:10.1007/s10614-019-09967-y

Cited by 14 publications

(10 citation statements)

References 15 publications

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“…Any VIF (variance inflation factor) less than 5 (VIF < 5) shows no collinearity [98], and the VIF results presented in Table 3 show that the VIF values were less than the threshold, which indicates no collinearity among the items. First, it is the preliminary check for the level of collinearity among items and Variance Inflation Factors (VIF), which are applied to check for any collinearity issues [101]. The items met the required offset-loadings of greater than 0.6 as suggested by Hair et al [98].…”

Section: Discussionmentioning

confidence: 99%

The Impact of Automation and Knowledge Workers on Employees’ Outcomes: Mediating Role of Knowledge Transfer

Mote

Karadaş

2022

Sustainability

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While there are existing empirical reviews regarding the relation between knowledge workers (KW) and knowledge transfer (KT), no study has examined the association of automation and knowledge transfer. The study describes knowledge workers as employees embedded with special abilities and having the main role of transfering their abilities to other workers in the organization. Additionally, automation (AUT) is described in the study as a technological process embedded with tacit knowledge. Therefore, using knowledge worker productivity theory and the technology acceptance model, this study aims to recommend and test a research model which examines the mediating role of knowledge transfer between automation, knowledge workers, and employee outcomes (employee creativity (EC) and innovative performance (IP)). The study evaluates the significant influence of knowledge transfer on innovative performance and creativity of other employees within the organization. This study applied a judgmental non-probability sampling research strategy to gather data from employees at an industrial firm in Japan by administering a questionnaire via Google Form. The data were analyzed with partial least squares based on structural equation modeling aimed at testing the predictive power and relationships of the model estimates. The results found support for the mediating role of knowledge transfer between automation and employee creativity as well as between automation and innovative performance. However, the study found partial support that knowledge transfer mediates the relationship between knowledge worker and employee creativity, as well as knowledge worker and innovative performance. In the same, automation and knowledge workers have significant impacts on knowledge transfer. Knowledge transfer has a significant impact on employee creativity and innovative performance.

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Section: Discussionmentioning

confidence: 99%

The Impact of Automation and Knowledge Workers on Employees’ Outcomes: Mediating Role of Knowledge Transfer

Mote

Karadaş

2022

Sustainability

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“…Also, the 19indicators latent variable will do by the Multicollinearity process. Data that has too high a correlation (close to 1; multicollinearity) indicates a problem [33] so, it will be deletion. In this study, there is multicollinearity on FSFI 4; FSFI 8; FSFI 16; FSFI 17; and FSFI 18 so those indicators will be deleted.…”

Section: Resultsmentioning

confidence: 99%

Causal Relationships of Sexual Dysfunction Factors in Women Using S3C-Latent

Sa'adati

Effendy²,

Rahmadi

2021

Indonesian J. Comput. Cybern. Syst.

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Women with cancer are at risk for sexual dysfunction characterized by problems with sexual desire, sexual arousal, lubrication, orgasm, sexual satisfaction, and pain during sexual intercourse. The literature review shows that most studies have focused on correlation analysis between factors, and no studies have attempted to identify a causal relationship between factors of sexual dysfunction. This study aims to determine the causal mechanism between factors of sexual dysfunction in cancer patients using a causal algorithm called the Stablespec Specification Search for Cross-Sectional Data With Latent Variables (S3C-Latent). The causal algorithm has been implemented into the R software package called Stablespec. The computation of the model is done in parallel using the CPU server. The result of this study is that there are a causal relationship and association with a high-reliability score of sexual dysfunction factors. We hope that the causal model obtained can be a scientific reference for doctors and health workers in making decisions so that the quality of life of female cancer patients who experience sexual dysfunction can be improved.

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“…The correlation coefficient between HICP and BC is 0.231 and the determinant of the correlation matrix is 0.946. Both values indicate that there is no essential multicollinearity, see García García et al [21] and Salmerón Gómez et al [22].…”

Section: Financial Empirical Applicationmentioning

confidence: 91%

Detection of Near-Nulticollinearity through Centered and Noncentered Regression

2020

Self Cite

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This paper analyzes the diagnostic of near-multicollinearity in a multiple linear regression from auxiliary centered (with intercept) and noncentered (without intercept) regressions. From these auxiliary regressions, the centered and noncentered variance inflation factors (VIFs) are calculated. An expression is also presented that relates both of them. In addition, this paper analyzes why the VIF is not able to detect the relation between the intercept and the rest of the independent variables of an econometric model. At the same time, an analysis is also provided to determine how the auxiliary regression applied to calculate the VIF can be useful to detect this kind of multicollinearity.

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A Guide to Using the R Package “multiColl” for Detecting Multicollinearity

Cited by 14 publications

References 15 publications

The Impact of Automation and Knowledge Workers on Employees’ Outcomes: Mediating Role of Knowledge Transfer

The Impact of Automation and Knowledge Workers on Employees’ Outcomes: Mediating Role of Knowledge Transfer

Causal Relationships of Sexual Dysfunction Factors in Women Using S3C-Latent

Detection of Near-Nulticollinearity through Centered and Noncentered Regression

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