Advisor Information
Dr. Wayne Harrison
Location
Dr. C.C. and Mabel L. Criss Library
Presentation Type
Poster
Start Date
2-3-2018 2:15 PM
End Date
2-3-2018 3:30 PM
Abstract
Research seeking to study and prevent serious forms of employee misbehaviors has been stymied by low incident rates and non-normal responses. Polychoric (cf., Pearson) correlation -based analytic methods offer solutions to these kinds of data. This 2-study (N = 172; N = 454) research provides support for these analytic methods in building models that distinguish serious and minor CWBs.
Modeling and Predicting Serious CWBs Using Improved Analytic Methods
Dr. C.C. and Mabel L. Criss Library
Research seeking to study and prevent serious forms of employee misbehaviors has been stymied by low incident rates and non-normal responses. Polychoric (cf., Pearson) correlation -based analytic methods offer solutions to these kinds of data. This 2-study (N = 172; N = 454) research provides support for these analytic methods in building models that distinguish serious and minor CWBs.