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Big Ten SAA Stipends Big Ten SAA Stipends

Big Ten SAA Stipends - PowerPoint Presentation

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Uploaded On 2015-09-21

Big Ten SAA Stipends - PPT Presentation

Project Goals Question Are IU graduate students in particular AIs and GAs paid less in comparison to peers at other Big Ten institutions A comparative study of the Big Ten designed to look at ID: 136071

ten data institutions big data ten big institutions graduate benefits information problems school students stipends stipend report programs research

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Presentation Transcript

Slide1

Big Ten SAA StipendsSlide2

Project Goals

Question: Are IU graduate students - in particular AIs and GAs- paid less in comparison to peers at other Big Ten institutions?

A comparative study of the Big Ten designed to look at:

Average graduate student stipends (preferably by department)

And Values of tuition waivers and benefits

While taking into consideration variation in the cost of livingSlide3

Data Problems

Questions arise about the comparability and accuracy of data along many lines. These include:

How much time and effort each school spends on collecting the data

How accurate and recent the reported data is

Consistency in typology and measurement across institutionsSlide4

Problems with Graduate Stipend Data

Many schools have been less than willing to provide data

In other cases, responses are slow (if at all) to requests for information

Unions have generally provided data, but that means that the source is different than the data collected through the institutions themselves (both of these have their own agendas)

Often cannot release the number of students receiving a stipend because of FERPA

This impacts our ability to analyze the data

As well as leaving out important information as to how many students are funded at a give institution Slide5

Problems with Benefits Data

Have crude number break-down of costs/co-pays at each school

Still trying to contact Dan Rives in HR who has (or is?) conducting a comparative study of benefits across the Big Ten

Benefits data is important because it is easier to rally around benefits - which are constant across all graduate students - than stipends, which vary widelySlide6

Problems with Cost-of-Living Data

Very few reliable measures

These often rely on an initial ‘salary’ in one city and then compare to another - so always relative

And are often based on mortgage rates

Can look at each school’s estimate - yet IU’s is estimated the second highest in the Big Ten at $18,046 (Northwestern is first at $24,111).Slide7

Pre-Existing Data

Miscellaneous sources

The Chronicle of Higher Education report for 2003-2004

Salary.com reports an average “College Teaching Assistant” salary for many cities

‘Purdue Report’ (Council on Institutional Cooperation)

But all of these are problematic

And there are many inconsistenciesSlide8

National Research Council’s Assessment of Research-Doctorate Programs

A survey of Research-Doctorate Programs conducted roughly every 10 years

Will theoretically provide all of the graduate stipend information we need (data will be from 2004-2005

And will be available to us when it is released in early October - November

Yet, some hesitations about variation in the quality of the data across institutions

But would allow us to look at peer institutions as well as the Big TenSlide9

Association of American Universities Data Exchange (AAUDE)

Has recently started gathering data on graduate stipends

But all data must be ‘blind’ to other institutions because of confidentiality agreements

And cannot be provided at the departmental level for other institutions

Aggregates are problematic as the programs under consideration at each school varies substantially

I.e. Indiana’s Medical school and School of Public Health are both located on the IUPUI campus, whereas they are on the flagship campus at Ohio State, Wisconsin, Minnesota, etc.Slide10

Data that we do

have …

… has been collected from:

Unions

Administrators

AAUDE

Information that is available online (I.e. the value of tuition waivers is readily reported by schools)

GEO (crude data on health care benefits in the Big Ten)Slide11

AAUDE Data for Big Ten Schools Slide12

Tentative ComparisonsSlide13

Trends from this data

Yes, we do appear to be paid less

But the disparity is greater in the Arts and Humanities and Social Sciences than in the Hard Sciences

However, the data we have is probably not going to pass close inspection by anyone familiar with statistics because of many of the problems outlined aboveSlide14

Recommendations

There is evidence that this is worth pursuing

And these questions can explore that in more depth/with more accuracy when the NRC data is published later this fall

Or can do a less in-depth report, such as one compiled by Wisconsin faculty in 2005 which offered selective examples of the disparity

In this report, they used readily available data in select disciplines, such as Mathematics or English

And paired this with survey information from department chairs and faculty members at their own institution