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Improving the Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Improving the Presentation of Introduction Practice in Political Quantitative Results in Political Science Science Principles


  1. Improving the Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Improving the Presentation of Introduction Practice in Political Quantitative Results in Political Science Science Principles Examples Coefficients & standard John Kastellec and Andrew Gelman errors Graphs for methodological research Age and voting Columbia University Peacekeeping Sports fans Multiple regression models February 12, 2009 Conclusion

  2. Improving the Overview Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • What do political scientists do? Science • Why tables? Principles Examples • Why graphs? Coefficients & standard errors • Some basic principles Graphs for methodological research Age and voting • A graphing template Peacekeeping Sports fans • Some examples Multiple regression models Conclusion

  3. Improving the Overview Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • What do political scientists do? Science • Why tables? Principles Examples • Why graphs? Coefficients & standard errors • Some basic principles Graphs for methodological research Age and voting • A graphing template Peacekeeping Sports fans • Some examples Multiple regression models Conclusion

  4. Improving the Overview Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • What do political scientists do? Science • Why tables? Principles Examples • Why graphs? Coefficients & standard errors • Some basic principles Graphs for methodological research Age and voting • A graphing template Peacekeeping Sports fans • Some examples Multiple regression models Conclusion

  5. Improving the Overview Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • What do political scientists do? Science • Why tables? Principles Examples • Why graphs? Coefficients & standard errors • Some basic principles Graphs for methodological research Age and voting • A graphing template Peacekeeping Sports fans • Some examples Multiple regression models Conclusion

  6. Improving the Overview Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • What do political scientists do? Science • Why tables? Principles Examples • Why graphs? Coefficients & standard errors • Some basic principles Graphs for methodological research Age and voting • A graphing template Peacekeeping Sports fans • Some examples Multiple regression models Conclusion

  7. Improving the Overview Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • What do political scientists do? Science • Why tables? Principles Examples • Why graphs? Coefficients & standard errors • Some basic principles Graphs for methodological research Age and voting • A graphing template Peacekeeping Sports fans • Some examples Multiple regression models Conclusion

  8. Improving the Overview Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • What do political scientists do? Science • Why tables? Principles Examples • Why graphs? Coefficients & standard errors • Some basic principles Graphs for methodological research Age and voting • A graphing template Peacekeeping Sports fans • Some examples Multiple regression models Conclusion

  9. Improving the The use of tables vs. graphs in political Presentation of Quantitative science Results in Political Science John Kastellec and Andrew Gelman • Examined 5 journals in 2006 (Kastellec and Leoni Introduction 2007) Practice in Political • Coded tables/graphs, and purpose of each Science Principles • Overall: 150 tables, 89 graphs Examples Coefficients & standard errors Graphs for methodological Percentage of Graphs Percentage of research and Tables Combined, Graphs Within Age and voting by Category Each Category Peacekeeping Sports fans Summary Statistics Multiple regression models ● ● Conclusion Estimates and Uncertainties ● ● ● Predicted Values ● ● Non−numeric ● ● Other ● ● Mathematical ● ● ● 0 10 20 30 40 0 25 50 75 100

  10. Improving the Why Tables? Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • Tables: Science • Much easier to produce Principles • Standard in teaching, presentation and publishing Examples • Can aid replication studies Coefficients & standard errors Graphs for methodological • Graphs: research Age and voting • Takes a lot of work Peacekeeping Sports fans • Belief it’s not possible to present info graphically Multiple regression models Conclusion

  11. Improving the Why Tables? Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • Tables: Science • Much easier to produce Principles • Standard in teaching, presentation and publishing Examples • Can aid replication studies Coefficients & standard errors Graphs for methodological • Graphs: research Age and voting • Takes a lot of work Peacekeeping Sports fans • Belief it’s not possible to present info graphically Multiple regression models Conclusion

  12. Improving the Why Tables? Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • Tables: Science • Much easier to produce Principles • Standard in teaching, presentation and publishing Examples • Can aid replication studies Coefficients & standard errors Graphs for methodological • Graphs: research Age and voting • Takes a lot of work Peacekeeping Sports fans • Belief it’s not possible to present info graphically Multiple regression models Conclusion

  13. Improving the Why Tables? Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • Tables: Science • Much easier to produce Principles • Standard in teaching, presentation and publishing Examples • Can aid replication studies Coefficients & standard errors Graphs for methodological • Graphs: research Age and voting • Takes a lot of work Peacekeeping Sports fans • Belief it’s not possible to present info graphically Multiple regression models Conclusion

  14. Improving the Why Tables? Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political • Tables: Science • Much easier to produce Principles • Standard in teaching, presentation and publishing Examples • Can aid replication studies Coefficients & standard errors Graphs for methodological • Graphs: research Age and voting • Takes a lot of work Peacekeeping Sports fans • Belief it’s not possible to present info graphically Multiple regression models Conclusion

  15. Improving the Why Graphs? Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political Science Principles • Better at communicating empirical results Examples • Process of graph creation a feature, not a bug Coefficients & standard errors Graphs for methodological • Most data and results can be presented graphically research Age and voting Peacekeeping Sports fans Multiple regression models Conclusion

  16. Improving the Why Graphs? Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political Science Principles • Better at communicating empirical results Examples • Process of graph creation a feature, not a bug Coefficients & standard errors Graphs for methodological • Most data and results can be presented graphically research Age and voting Peacekeeping Sports fans Multiple regression models Conclusion

  17. Improving the Why Graphs? Presentation of Quantitative Results in Political Science John Kastellec and Andrew Gelman Introduction Practice in Political Science Principles • Better at communicating empirical results Examples • Process of graph creation a feature, not a bug Coefficients & standard errors Graphs for methodological • Most data and results can be presented graphically research Age and voting Peacekeeping Sports fans Multiple regression models Conclusion

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