Salary Equity Software - HR Equator
Salary Equity Software
HR Equator is the most comprehensive and advanced salary equity software tool on the market. This proprietary software program enables a company to identify potential pay equity problems in its organization and, in turn, can assist in making salary adjustments if necessary. The software was developed with human resources professionals in mind. Basically, the software enables the non-technical HR professional to conduct advanced statistical analyses without being a statistician. HR Equator utilizes the most advanced statistical analyses that are accepted by the courts, EEOC, and the OFCCP, and the reports can be used to conduct comprehensive proactive or reactive analyses as part of an OFCCP or EEOC investigation. This software tool has been recognized as exactly what employers need to avoid costly compensation settlements and ensure non-discrimination in their pay practices.
Mirroring the methodologies employed by both the EEOC and the OFCCP, and recognized by the courts, these analyses and features include:
- Multiple Regression Analysis
- Program to Help Create Pay Analysis Groups
- Generation of Item 11 Report and Excel file
- Statistical Significance Tests (t-tests, Fisher’s exact test)
- Analyses Comparing Race/Ethnicity Sub-Groups as well as Minority-Nonminority Comparisons
- Factor Pattern Analysis
- Correlation Analysis
- Cohort Analysis (small group and large group)
- Back Pay Calculator
- Descriptive Statistics and Frequencies
The U.S. Department of Labor today announced two final rules to improve hiring and employment of veterans and people with disabilities.
In a recent post, we highlighted some of the problems that may be encountered with collecting and analyzing the disability status of employees. In particular, there are data collection problems with relying upon a voluntary self-identification method and allowing an option to not self-identify. The post was concerned with the different disability utilization percentages that could be calculated, depending on how the individuals who do not self-identify are treated in the analysis. We thought further elaboration on the topic of survey completion percentages was warranted, as there is substantial academic research on the topic. For those interested in the specifics of the research that has been done, refer to our briefRead More