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ICPSR: Resources for Use in Undergraduate Instruction

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This presentation was given at an ICPSR Lunch and Learn on 2-24-2010. Resources that can be used in undergraduate social science education were discussed and the slides/notes should contain enough information that they can be used by others to promote these resources.

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ICPSR: Resources for Use in Undergraduate Instruction

  1. 1. Promoting ICPSR: Resources for Use in Undergraduate Instruction Lunch & Learn February 24, 2010 Lynette Hoelter
  2. 2. Overview of the Presentation <ul><li>Why should I care about this? </li></ul><ul><li>Why does ICPSR care about undergraduate education? </li></ul><ul><li>Who else cares, and why ? </li></ul><ul><li>So… get to the tools already! </li></ul><ul><ul><li>Specifically for the classroom </li></ul></ul><ul><ul><li>Adapting general ICPSR features for teaching </li></ul></ul><ul><li>The reward: Student opportunities </li></ul>
  3. 3. I just came for the free lunch… <ul><li>Two purposes of this presentation </li></ul><ul><ul><li>Sharing what is going on in Instructional Resources & Development </li></ul></ul><ul><ul><ul><li>Lynette Hoelter, Sue Hodge, Andrea Benjamin, Frederique Laubepin, Christopher Ward </li></ul></ul></ul><ul><ul><li>Introducing tools that can be shared when doing booth exhibits, ICPSR presentations, and even writing proposals </li></ul></ul>
  4. 4. Why Undergrad Education? <ul><li>More ICPSR usage by undergrads </li></ul><ul><li>Focus on quantitative literacy </li></ul><ul><li>Faculty familiar with ICPSR but unsure how to introduce data to undergraduates </li></ul><ul><li>Desire to be useful to a broader range of types of institutions (BA, community colleges) </li></ul>
  5. 5. Who Cares? <ul><li>Faculty </li></ul><ul><ul><li>Desire to use data in instruction but many barriers </li></ul></ul><ul><li>Funders </li></ul><ul><ul><li>Creates a larger potential audience for data collection efforts </li></ul></ul><ul><li>(First-year) Students </li></ul><ul><ul><li>Brings course content to life </li></ul></ul><ul><li>Response at conferences/on campuses shows much interest </li></ul>
  6. 6. Why Bother with Data? <ul><li>Including research/data analysis </li></ul><ul><ul><li>Piques student interest </li></ul></ul><ul><ul><li>Engages students with the discipline more fully </li></ul></ul><ul><ul><ul><li>prevents some of the feeling of “disconnect” between substantive and technical courses </li></ul></ul></ul><ul><ul><li>Fosters quantitative literacy skills </li></ul></ul>
  7. 7. Potential Obstacles <ul><li>Large classes </li></ul><ul><li>Finding appropriate data and creating exercises </li></ul><ul><li>Examples that don’t “work” in class </li></ul><ul><li>Student access to/knowledge of statistical software </li></ul>
  8. 8. ICPSR’s Response <ul><li>OR sabbatical projects </li></ul><ul><ul><li>Exploring Data Through Research Literature </li></ul></ul><ul><ul><li>Investigating Community and Social Capital </li></ul></ul><ul><li>Supplementary Empirical Teaching Units in Political Science (SETUPS2008) </li></ul><ul><li>Online Learning Center (OLC) </li></ul><ul><li>National Science Foundation Awards </li></ul><ul><ul><li>TeachingWithData.org (Alter, PI) </li></ul></ul><ul><ul><li>Infusing Quantitative Literacy (Assessment; Alter, Co-PI) </li></ul></ul>
  9. 9. Exploring Data Through Research Literature
  10. 10. Investigating Community and Social Capital
  11. 11. SETUPS 2008
  12. 12. Online Learning Center
  13. 17. Frequency Distribution Cells contain: -Column percent -Weighted N INCOME 1 LESS THAN $24,000 2 $24,000-$49,999 3 $50,000-$99,999 4 MORE THAN $100,000 ROW TOTAL YEARGAMB 0: Didn't gamble in past year 32.4 15,759,745 25.1 13,001,616 19.6 8,868,472 24.5 4,030,466 25.7 41,660,300 1: Gambled in past year 67.6 32,885,485 74.9 38,713,040 80.4 36,491,643 75.5 12,402,378 74.3 120,492,546 COL TOTAL 100.0 48,645,230 100.0 51,714,657 100.0 45,360,115 100.0 16,432,844 100.0 162,152,846
  14. 20. TeachingWithData.org
  15. 21. Research and Teaching <ul><li>Bibliography of Related Literature </li></ul><ul><li>Topical archives </li></ul><ul><li>Social Science Variables Database </li></ul><ul><li>Online analysis package (SDA) </li></ul><ul><li>Other file formats (SPSS, SAS, Stata) </li></ul><ul><li>Finding and downloading data </li></ul>
  16. 22. Student Opportunities <ul><li>Summer internship program </li></ul><ul><li>Student paper competitions </li></ul><ul><ul><li>Undergraduate </li></ul></ul><ul><ul><li>Master’s </li></ul></ul><ul><ul><li>RCMD </li></ul></ul>
  17. 23. For More Information: <ul><li>Lynette Hoelter </li></ul><ul><li>Instructional Resources & Development </li></ul><ul><li>[email_address] </li></ul>

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