O'Neill, Cameron
(2023)
Comparative analysis of graduate statistics department using perception based ranking and research based ranking.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
University rankings have become an important part of the admissions processes and their audience has grown substantially over the last two decades. Yet there is still a lack of cover- age for graduate programs outside of business, law and medical school. One of the eminent rankings is the U.S. News & World Report, which has begun ranking graduate programs through peer assessment survey data which relies heavily on institutional reputation. The purpose of the study was to estimate the difference between a perception-based ranking measured through the USNWR rankings and a research-based ranking measured through Google Scholar metrics for 96 graduate statistics department within the United States. Ad- ditionally, the researcher sought to examine the underlying bias that might be present in the two rankings. A research rank statistic was generated for each department based off the mean of the normalized Google Scholar metrics for each professor within their department. Lastly, a bootstrap sample was conducted and was used to calculate the possible ranges of values departments could take. This was used to determine if a department deviates measurably between its research rank and perception-based rank. The results showed there is a measurable difference between the perception-based ranking and the research-based ranking.
Share
| Citation/Export: |
|
| Social Networking: |
|
Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
11 May 2023 |
| Date Type: |
Publication |
| Defense Date: |
23 March 2023 |
| Approval Date: |
11 May 2023 |
| Submission Date: |
5 April 2023 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
83 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Dietrich School of Arts and Sciences > Statistics |
| Degree: |
MS - Master of Science |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
graduate department ranking, research based ranking, perception ranking, U.S. News & World Report graduate statistics ranking |
| Date Deposited: |
11 May 2023 19:38 |
| Last Modified: |
11 May 2023 19:38 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/44426 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[feed]](/images/feed-icon-32x32.png){kind=icon}