NSF Survey of Earned Doctorates

The Higher Ed Data Set Analysis of the Survey of Earned Doctorates by Seth, Easton, Aiya, Charlie, Colleen, and Abby.

[NSF Survey of Earned Doctorates @EarnedNs]

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[NSF Survey of Earned Doctorates @EarnedNs]

This is an example of reverse engineering as Universities engage in this behavior to create more attractive doctorate programs, attracting a greater number of doctorate students in the future. All in an effort to manipulate the data found in the Survey. (9/9)

[NSF Survey of Earned Doctorates @EarnedNs]

How it's used: Reverse-Engineering

[NSF Survey of Earned Doctorates @EarnedNs]

Universities have resorted to hiring their own graduates: @LCassuto “Departments are offering these positions to their own graduates because of helping their graduates stay market-viable a little while longer ... it gives them an opportunity to bolster their credentials.” (8/9)

[NSF Survey of Earned Doctorates @EarnedNs]

To summarize, this survey is used by many journalists and those in higher education to make conclusions on long term trends with those earning PhDs. (6/6)

[NSF Survey of Earned Doctorates @EarnedNs]

How it's used: Narrative

[NSF Survey of Earned Doctorates @EarnedNs]

From this article they come to the conclusion that doctoral job placement is relatively weak right now which requires Universities to adapt to maintain stature in their program and to keep an inflow of students coming to their doctoral programs. (5/6)

[NSF Survey of Earned Doctorates @EarnedNs]

The data set provides statistics on placement and Universities, obviously, want great placement and those aforementioned programs provide that so Universities will devote more resources to them. (6/6)

[NSF Survey of Earned Doctorates @EarnedNs]

How its used: Commensuration

[NSF Survey of Earned Doctorates @EarnedNs]

They use this data to find industry trends that Universities will use to ensure the success and output doctorates with the most value (5/6)