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17. Mar 13. Nonlinear Regression I Read: Fox, Ch. 12.3, Cohen, Ch. 6.1, 6.2, 6.4 Lecture: /stat/Regression-Nonlinear/Nonlinear-Overview/ http://pj.freefaculty.org/guides/stat/Regression-Nonlinear/Nonlinear-Overview/Nonlinear-1-Overviewpdf 18. Mar 15. Nonlinear Regression, II Read: Fox, Ch 18, Cohen, Ch. 6.6 Lecture: /stat/Regression-Nonlinear/Nonparametric-Loess-Splines/ http://pj.freefaculty.org/guides/ stat/Regression-Nonlinear/Nonparametric-Loess-Splines/Nonparametric-1-lecture.pdf 19. Mar 27. Error Term Trouble: Heteroskedasticity & Autocorrelation Read: Cohen, Ch 4.4.4-4.4.5; 4.5.4-4.5.5 Lecture: /stat/Regression/Heteroskedasticity-WLS http://pj.freefaculty.org/guides/stat/Regression/ Heteroskedasticity-WLS/Heteroskedasticity-WLS-lecture.pdf Lecture: /stat/Regression/TimeSeries http://pj.freefaculty.org/guides/stat/Regression/TimeSeries/ TimeSeries-1-lecture.pdf 20. Mar 29. Test #2. 21. Apr 3. Categorical Predictors Read: Cohen, Ch. 8 Lecture: /stat/Regression/CategoricalPredictors/lecture-1 http://pj.freefaculty.org/guides/stat/ Regression/CategoricalPredictors/ 22. Apr 5. Topic: Multicollinearity and Variable Selection Read: Cohen, 10.5-10.7, Fox 13 Lecture: /stat/Regression/Multicollinearity/ http://pj.freefaculty.org/guides/stat/Regression/Multicollinearity/Multicollinearity-1-lecture. pdf 23. Apr 10. Points of Caution (even Skepticism!) Read: King, Gary. (1986). “How Not to Lie with Statistics: Avoiding Common Mistakes in Quantitative Political Science.” American Journal of Political Science, 30(3), 666-687. Lecture: /stat/Regression/StandardizedBeta/ http://pj.freefaculty.org/guides/stat/Regression/StandardizedBeta/Standardized-1-lecture. pdf 24. Apr 12. Influence Diagnostics (The Hat Matrix) Read: Cohen, 10.1-10.5, Fox Ch. 11 Lecture: /stat/Regression/RegressionDiagnostics/ http://pj.freefaculty.org/guides/stat/Regression/RegressionDiagnostics/RegDiagnostics-1-lecture. pdf 25. Apr 17. Interactions 6
Read: Cohen, 7 Lecture: /stat/Regression-Nonlinear/Interaction-Categorical/ http://pj.freefaculty.org/guides/ stat/Regression-Nonlinear/Interaction-Categorical/Interaction-Continuous-1-lecture. pdf Additional Reading: More on why Mean Centering does not help with Multicollinearity ( Echambadi, R., & Hess, J. D. (2007). Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models. Marketing Science, 26(3), 438-445. Kromrey, J. D., & Foster-Johnson, L. (1998). Mean Centering in Moderated Multiple Regression: Much Ado about Nothing. Educational and Psychological Measurement, 58(1), 42 -67. 26. Apr 19. Interactions: Categorical with Continuous Read: Cohen, 9.3 Lecture: Regression-Nonlinear/Interaction-Categorical http://pj.freefaculty.org/guides/stat/Regression-Nonlinear/Interaction-Categorical/Interaction-Cate pdf 27. Apr 24. Catch Up, Comments on “missing values” if time permits. 28. Topic: Logit I Read: Verzani, Ch. 12; Cohen, 13.1-13.2 This guide on Logit and Probit models was perfected over years and years http://pj.freefaculty. org/guides/stat/Regression-Categorical/LogitProbit/LogitProbit-1-guide.pdf. The lecture slideshow is not quite so well evolved... Lecture: /stat/Regression-Categorical/LogitProbit 1 http://pj.freefaculty.org/guides/stat/Regression-Categ LogitProbit/LogitProbit-1-lecture.pdf 29. Logit II Read: Same Lecture: /stat/Regression-Categorical/LogitProbit-WorkedExample 30. Last Day Final Exam: Friday, May 11, 1:30-4:00pm Please Doublecheck that: http://timetable.ku.edu/~registr/ pdf/exams/spring_2012_final_exam_schedule.pdf 7
Page 1 and 2: POLS 706 PSYCH 650/790 : Spring 201
Page 3 and 4: Along those lines, I have been work
Page 5: Read: Bowen & Weisberg, An Introduc

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