The complete solution for your Compensation Analysis needs! Includes regression!
COMPARE version 2.2 is an advanced compensation analysis software solution for companies
large or small. If your company is looking for a program to
develop basic compensation studies or advanced regression
analyses, then COMPARE is what you need. It is easy to install,
taking only a few minutes to load directly onto your computer.
The software is a very user-friendly program designed to help
companies develop advanced compensation analyses using a logical
and streamlined process. In addition, the most advanced user
can find all the flexibility and high-level tools they require
to meet the regulations as well as the needs of their organization.
There are many unique features in the new COMPARE compensation analysis software program
that will make your analysis process faster and smoother --
and you can be confident that our program is compliant with
the latest OFCCP methodology.
- Extremely flexible and user friendly with detailed
Help functions
- Import data from Excel or delimited file (Tab, Comma,
Space)
- Import new files and store previous analyses
- Import detailed data or dummy code fields within the
program
- Use multiple reports methods such as Summary Analyses,
Mean/Median Analyses, Cohort Analyses, Back Pay Analyses,
EO Surveys and Compliance Reviews
- Generate a basic regression report or an advanced
version with detailed statistics
- Use up to 10 variables in your regression analysis
- Preview, print or export reports to Excel, Word or
Adobe .PDF files
- Choose your thresholds for total groups and sub-groups
- Utilize T-Tests results and Fisher’s Test for
statistical significance
- Generate reports by groupings such as Grade, Job Group,
Job Title and more
- Customize your protected and non-protected groups
for varied comparisons
- Run detailed Cohorts using filters for specific views
of groups you choose
- View, sort and export your data easily
- Use basic variables such as Time in Company, Time
in Job and more
- Use advanced variables such as Performance Scores,
Education, Previous Salary and more
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