Enrollment Management and Graduate Employment Outcomes

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Discussion:

Carolyn,

I hear you. I thought perhaps there was data that would support ideas of more appropriate admissions criteria. For example, a program that has an abnormally high drop rate with a correlation discovered that particular classes relating to advanced mathematics are where the majority of drops occur within the program. This may lead one to believe that perhaps a math assessment should be implemented prior to enrollment as it has been determined that an appropriate admissions criteria would be a specific(measurable) mastery of math prior to admission in the program. This is just an example and though you might have such data and thus, recommendations. The information necessary to have these conversations among departments who all monitor different data sets usually happened at Institutional Effectiveness meetings in my own personal past experience. Any information such as the data used in this example would prevent recommendations from being speculative but rather factual. If anyone else has real-world examples of making recommendation for new admissions criteria based on collected data, I would love to hear about it as it would add value to this discussion.

Thanks for your generous sharing and participation Carolyn! It is very helpful.

Robert Starks Jr.

Carolyn, I hear you. I thought perhaps there was data that would support ideas of more appropriate admissions criteria. For example, a program that has an abnormally high drop rate with a correlation discovered that particular classes relating to advanced mathematics are where the majority of drops occur within the program. This may lead one to believe that perhaps a math assessment should be implemented prior to enrollment as it has been determined that an appropriate admissions criteria would be a specific(measurable) mastery of math prior to admission in the program. This is just an example and though you might have such data and thus, recommendations. The information necessary to have these conversations among departments who all monitor different data sets usually happened at Institutional Effectiveness meetings in my own personal past experience. Any information such as the data used in this example would prevent recommendations from being speculative but rather factual. If anyone else has real-world examples of making recommendation for new admissions criteria based on collected data, I would love to hear about it as it would add value to this discussion. Thanks for your generous sharing and participation Carolyn! It is very helpful. Robert Starks Jr.