Dependent Sample Assessment Plots Using granovaGG and R

9/4/2011 Update: granovaGG is now available directly from CRAN.

Just over one year ago, I wrote about creating Dependent Sample Assessment Plots (DSAP) Using granova and R. Since then, Brian Danielak has been developing a new, ggplot2-based version of granova named granovaGG, which is almost ready for release on CRAN. This article updates my earlier granova-based version, but leaves much of the article text unchanged.
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Dependent Sample Assessment Plots Using granova and R

Dependent Sample Assessment Plots (DSAP) constitute a way of visualizing data in the context of two dependent sample analyses. One (of at least four ways1) to think about this would be to think of pre-intervention and post-intervention response data scores, when studying the effects of intervention.

Suppose you’re an educator and you administer an assessment to students at the beginning of a unit asking about their level of confidence or understanding of a topic. You then teach a lesson that spans some period of time. At the end you collect responses to the same questions again. You now have a dependent sample: two responses that related to the same individual for some number of individuals.

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  1. See Pruzek and Helmreich’s paper in the Journal of Statistics Education Volume 17, Number 1 (2009), Enhancing Dependent Sample Analyses Using Graphics

Thoughts on Course Grades

Like many educators, I worry about the level of effort that my students commit to their studies (the process) and the quality of their work (the product). We call the process many things: engagement, time on task, passion… But we mean to describe that self-driven, motivated commitment to learning for the sake of learning that we value.

Unfortunately, in many educational environments, the standard proxy for effort is the course grade. Grades are a poor proxy, but are so ingrained in educational practice (in some of the institutions where I teach) and in students’ minds that it may be useful to consider a way to structure grade rewards to encourage the genuine engagement from students that we desire.

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Commenting on Student Writing

We often find ourselves commenting on students’ writing and acting as editors rather than critical readers: we indicate line-level edits, such as missing commas and poor word choices– as if fixing the mechanical errors would make the paper acceptable. In reality, most student papers we see are first drafts, often written the night before the assignment is due and unedited by anyone, including the author. (See my post concerning the design of assignments, coming soon.)

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