CSB - Minutes - November 20, 2020
S&B_11202020
Friday, November 20, 2020
10:42 AM
Meeting Date: 11/20/2020 11:00 AM
Location: Microsoft Teams Meeting
Participants
Rathmel, Angela (Meeting Organizer)
Currie, Lea H. (Accepted in Outlook)
Torres, Matt
Broadwell, Mike (Accepted in Outlook)
Royer, Shannon
Hallstrom, Leah Nelson (Accepted in Outlook)
Notes
AGENDA (based on our 11/9 meeting, revised 11/20)
1. Recommendations for Faculty appointment fill –
Angie shared suggestions with LSA Chair, Chris Bohling.
Sara Outier (also on CRSA), Vickie, Michiko?
2. Quick orientation to MS Teams.
3. Elect chair
∙ Established that we will wait to elect committee chair until final faculty member appointed. Another role TBD is who will work with webmaster.
4. Continue review of S&B 2019 report
∙ Review data referenced in 2019 annual report that Mike will provide (*see ACTION)ACTION: Mike will find, re-run, provide the following:
∙ AIRS data – University gender equity study - N/A as it did not include some librarian faculty and other university faculty who were Academic Staff.
∙ Library averages of gender pay differences by classification – 2017 data was shared with 2019 S&B committee and is now in the Files sections in S&B Teams site.
∙ Current Library averages of gender pay differences by classification from (rerun with 2020- 2021 data) - Still working on this, more complicated due to salary changes with reductions, VSIP, etc.
∙ Review Appendix B (copy/pasted below) to identify and contextualize points to address limitation of averages data.
∙ Determined that averages Mike supplied to the committees sufficiently account for many of these variables at present.
∙ Discussed possible approaches for qualitative assessments address other variables. More input is needed.
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Appendix B. KU Libraries HR reports
Data Collected about each employee in the university’s HR system
Regression analysis can be used to assess factors that may explain pay differences in both internal and external compensation comparisons. One early step to complete in a regression study is to determine what administrative data is collected that could potentially be used for analysis. Committee ex officio member, M. Broadwell investigated this question and provided the following list of administrative data variables collected about each employee.
HR System Variables
Employment Data
o Start Date
o Termination Date
o Service Date
Job Data
o Name
o Effective Date
o Action
o Reason
o Work Title
o Job Code
o Position Number
o Salary
o Supervisor
o Class
o Shift
o Status
o Standard Hours
o Pay Group
o Employee Type
o Exempt Status
Libraries HR System Data
Staff Data
o Name
o Title
o Reports to
o Hourly Rate
o Annual Rate
o FLSA
o Education
o Service Date
o KU Start Date
o Ethnicity
o Birthdate
o Retire/Resign Date
o Position Change
o Salaries by title
o Hire Date
o Position Descriptions
Job Announcements Templates
It is considered a best practice to post a pay range as part of the job search process. The Committee inquired about the KU Libraries’ practices. Committee ex officio member, M. Broadwell shared two job templates with the committee.
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6. Prepare questions/agenda for 11/30 combined meeting scheduled for Nov 30th 11am Angie will send updated agenda.
∙ What data did the former committee collect and where is it stored. Can we add to current S&B Teams?
∙ Current S&B seems to be coming from different perspectives on the special charge and reported outcomes. Get context from former S&B and determine what that team considered the most important find, recommendation, direction.
Created with Microsoft OneNote 2016.