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Integrating Interdisciplinary Research into a First Statistics Course Shonda Kuiper

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Presentation on theme: "Integrating Interdisciplinary Research into a First Statistics Course Shonda Kuiper"— Presentation transcript:

1 Integrating Interdisciplinary Research into a First Statistics Course Shonda Kuiper kuipers@grinnell.edu http://web.grinnell.edu/individuals/kuipers/stat2labs/

2 July 8, 2008Stat2Labs 2 Outline Project Goals Description of Lab Components Example Materials

3 July 8, 2008Stat2Labs 3 Project Goals 1)Broaden student understanding of the intellectual content and applicability of statistics as a discipline Real interdisciplinary datasets Gain an appreciation for multidisciplinary group work Bridge the gap from smaller, focused textbook problems to large projects

4 July 8, 2008Stat2Labs 4 Project Goals 2)Preparing students for research and real world problems Read and evaluate primary literature Transition from a research question to a statistical model Develop their own research hypothesis based on current research Collect their own data or develop their own simulation study Determine an appropriate technique for analysis Oral and written reports with peer review

5 July 8, 2008Stat2Labs 5 1)formulate hypothesis, 2)collect data, 3)determine appropriate techniques for analysis, 4)integrate technology, 5)perform analysis, 6)make inferences, and 7)interpret the results. Multi-day labs that address advanced statistical techniques encouraging students to Lab Components

6 July 8, 2008Stat2Labs 6 Lab Components Introduction to the statistical topic Statistical software instructions (Minitab & R) Journal article or reading assignment that incorporates a statistical concept into another discipline An experiment or activity students can conduct and analyze Directions for writing a research paper or poster Guided questions for peer review and evaluation of primary literature

7 July 8, 2008Stat2Labs 7

8 July 8, 2008Stat2Labs 8 Identify units, explanatory and response variables, objective of the study, lurking variables 1)Read article by Surprenant, A. M. (2001). Project Example: Simon 2)Play the Simon game and develop your own research hypothesis. Clearly define a problem and state the objectives of your experiment Identify units, response and explanatory variables What other factors need to be controlled Choose an experimental design How does your experiment build on previous work?

9 July 8, 2008Stat2Labs 9 Prepare questions for a cognitive psychologist Write lab procedures IRB proposal? 3)Discuss the study with a psychologist Project Example: Simon 4)Conduct the study. Discuss final design with professor Collect data 5)Write research paper Submit 1 st draft in class for peer review Revise paper Submit final paper, peer comments, data, and variable descriptions

10 July 8, 2008Stat2Labs 10

11 July 8, 2008Stat2Labs 11

12 July 8, 2008Stat2Labs 12

13 July 8, 2008Stat2Labs 13 Used as a final project to synthesize key elements learned throughout a course, combined to form a second statistics course, form the basis of an individual research project, or used to help students and researchers in other disciplines better understand how statisticians approach data analysis.

14 NSF DUE#0510392: Kuiper, Moore, and Collins Shonda Kuiper kuipers@grinnell.edu http://web.grinnell.edu/individuals/kuipers/stat2labs/


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