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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

Workplace Incivility Toward Individuals With Disabilities, Secure Attachment Style, And Mental Health: Focus On Mediator And Moderator Effects, Mia Heikkila Nov 2019

Workplace Incivility Toward Individuals With Disabilities, Secure Attachment Style, And Mental Health: Focus On Mediator And Moderator Effects, Mia Heikkila

FIU Electronic Theses and Dissertations

Despite the value of workplace civility, civility has been replaced by social exchanges that include statements and behaviors deemed largely unacceptable and undeniably rude. One type of rude behavior that appears innocuous is called workplace incivility, yet incivility disturbs efficient functioning among employees, intensifies work stress, and poses a grave financial hazard to an organization. Literature expressly on incivility toward individuals with disabilities is virtually non-existent, although emerging literature reveals that employees with disabilities are at a greater risk of experiencing workplace mistreatment vis-à-vis employees without disabilities. This quantitative study investigated the role of workplace incivility with respect to individuals …


Best Probable Subset: A New Method For Reducing Data Dimensionality In Linear Regression, Elieser Nodarse Apr 2019

Best Probable Subset: A New Method For Reducing Data Dimensionality In Linear Regression, Elieser Nodarse

FIU Electronic Theses and Dissertations

Regression is a statistical technique for modeling the relationship between a dependent variable Y and two or more predictor variables, also known as regressors. In the broad field of regression, there exists a special case in which the relationship between the dependent variable and the regressor(s) is linear. This is known as linear regression.

The purpose of this paper is to create a useful method that effectively selects a subset of regressors when dealing with high dimensional data and/or collinearity in linear regression. As the name depicts it, high dimensional data occurs when the number of predictor variables is far …