An example of statistics in action: measuring faculty performance by the grades students receive in subsequent courses

Assessment, whether it is for student or faculty outcomes,  is a great area in which to find examples of statistics. This example comes from a discussion of assessing faculty by looking at how students do in subsequent courses:

[A]lmost no colleges systematically analyze students’ performance across course sequences.

That may be a lost opportunity. If colleges looked carefully at students’ performance in (for example) Calculus II courses, some scholars say, they could harvest vital information about the Calculus I sections where the students were originally trained. Which Calculus I instructors are strongest? Which kinds of homework and classroom design are most effective? Are some professors inflating grades?

Analyzing subsequent-course preparedness “is going to give you a much, much more-reliable signal of quality than traditional course-evaluation forms,” says Bruce A. Weinberg, an associate professor of economics at Ohio State University who recently scrutinized more than 14,000 students’ performance across course sequences in his department.

Other scholars, however, contend that it is not so easy to play this game. In practice, they say, course-sequence data are almost impossible to analyze. Dozens of confounding variables can cloud the picture. If the best-prepared students in a Spanish II course come from the Spanish I section that met at 8 a.m., is that because that section had the best instructor, or is it because the kind of student who is willing to wake up at dawn is also the kind of student who is likely to be academically strong?

It sounds like the relevant grade data for this sort of analysis would not be difficult. The hard part is making sure the analysis includes all of the potentially relevant factors, “confounding variables,” that could influence student performance.

One way to limit these issues is to limit student choice regarding sections and instructors. Interesting, this article cites studies done at the Air Force Academy, where students don’t have many options in the Calculus I-II sequence. In summary, this setting means “the Air Force Academy [is] a beautifully sterile environment for studying course sequences.”

Some interesting findings both from the Air Force Academy and Duke: students who were in introductory/earlier classes that they considered more difficult or stringent did better in subsequent courses.

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