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Logistic Regression (Overview)

"Logistic Regression (LR) is a statistical method that is useful for evaluating why adverse impact may be occurring in a hiring or promotional process. While classic 2 X2 table analysis can identify whether the observed hiring or promotion rates betweentwo groups are significantly different, LR can determine if job-relevant qualificationfactors (e.g., experience or education) of the individuals included in the analysisexplain the difference in hiring or promotion (as opposed to gender or race being thereason).

From a technical standpoint, LR analyses use multiple predictor variables forthe individuals included in the study (such as education, experience, or other relevantqualifications) to predict a single criterion or 'outcome' variable that has only twopossible values, such as hired/not hired or promoted/not promoted."

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6/28/2018
Discussion of OFCCP and State-level Enforcement

7/18/2018
VETS 4212

8/15/2018
Analyses of Big Data, Applicant Tracking and Misaligned Disposition Codes

10/17/2018
Developing Job Groups, Determining Labor Areas, and Assigning Census Codes

11/7/2018
Being a Federal Contractor: Record Keeping Obligations, Posting Requirements, Etc.

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