1. Oklahoma state algorithm

2. Ok state faculty salary survey
What is it? (Average Salaries for Faculty and Graduate Assistants)
What isn’t it? (Average Salaries for Staff / ESOC code)
Average salaries by CIP code (6 digit – detailed), Carnegie classification (R1, R2, R3), geographic region, Rank(Full Professor, Associate Professor, Assistant Professor, etc.), and Tenure Status(tenured & on track vs. non-tenured).
One tool of several necessary for benchmarking UI personnel. CUPA- HR provides additional staff benchmarking.
Give Dale a chance to introduce the topic, how he wants OKST to be used, etc.

3. Participating institutions
Carnegie Designations of “Peers”
In , 107 institutions participated including all 15 of our official peers, but not including local state schools (No ISU, BSU, LCSC)
137 Universities invited to participate
Includes R1, R2 schools
Double check to make sure there’s not an R3 on there somewhere

4. UI Algorithm
Pull faculty and graduate assistants from IR maintained dataset (see BANNER job NWREDMP) for Fall 201X
Clean data / meet OKST data definitions for GA’s / Faculty
Fit in academic CIP Code? (Exclude Extension, Library Science, etc.)
Include Tenure-Track and FT Non-Tenure Track Faculty
Salary based on Academic Year?
If not, then standardize to AY
Graduate Assistants as .5 FTE (half-time)
Submit!
Check to make sure it’s ay

5. From UI DEPTS to OK DEPTS
Oklahoma State Departments are based on CIP Codes
Note: These slides taken from IPEDS training course.