Abstract #301764

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JSM 2003 Abstract #301764
Activity Number: 377
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract - #301764
Title: Making Real Data Real
Author(s): Frauke Kreuter*+ and Robert L. Gould
Companies: University of California, Los Angeles and University of California, Los Angeles
Address: 8130 Math Science Bldg., Los Angeles, CA, 90095-1554,
Keywords: data analysis ; introductory statistics ; Stata ; statistical software
Abstract:

Although the emphasis in modern introductory college statistics is on using real data and on working on realistic problems, few textbooks provide students with the opportunity to practice data analysis using professional-level software. We made use of an NSF-funded computer lab to develop a one-unit laboratory section in which introductory statistics students used Stata to analyze data sets. Rather than emphasize particular concepts (which, in any case, were covered in the course itself), the lab sections focus on a substantive question that results in a problem-oriented, not a topic-oriented, teaching approach. Each lab shows students an exemplified data analysis session, in which relevant software syntax is introduced as needed to answer the research questions posed. The assignments for each lab require that students decide which statistical techniques to use and how to deal with typical data analysis problems (e.g., missing data), how to present and communicate the results, and how to make the results reproducible. We show examples of labs and discuss the development process and the problem of grading lab assignments.

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Revised March 2003