Stat 414 - Lectures Notes

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 Monday Tuesday Wednesday Thursday Day 0: What is multilevel data Syllabus  Multiple variables applet To Do for Monday: Initial Course survey in Canvas Introduction in Canvas (Flip) To Do for Tuesday: Install R/Rstudio Read Ch. 2 Quiz 0 in Canvas (due 8am Tuesday) Day 1: Statistical models (ppt) (pdf)   To Do:   Quiz 1 in Canvas Review Basic Regression Model Assumptions (see end of slides too) Start HW 1 Day 2: Basic regression model assumptions (ppt)  Day2.Rmd (pdf) (anno) To Do: Quiz 2 in Canvas Review centering (see end of Day 2 Rmd file) Continue HW 1 Optional: Review log transformations Day 3: Inference  for regression models (ppt) Day3.Rmd (pdf) (anno) To Do: Submit HW 1 Review proprities of biased estimators and interpreting coefficients for categorical variables Day 4: Categorical variables (ppt) Day 4 (pdf) (anno) (no Rmd) PaceData.txt Multiple variables applet Optional: "The illusion of predictability: How regressoin statistics mislead experts" (Soyer & Hogarth) To Do:   Quiz 4 in Canvas Start HW 2 Day 5: Interactions (ppt) Day5.Rmd (pdf) (anno) To Do:   Quiz 5 in Canvas Continue HW 2 Day 6: Unequal variances (ppt)Day6.Rmd(pdf) (anno)To Do:   Quiz 6 in Canvas (due Friday 8am)Continue HW 2 Day 7: Between vs. Within Associations (3.6)Day7.Rmd(pdf) (anno)To Do:   Quiz 6 in Canvas (due Friday 8am)Submit HW 2Quiz 7 in Canavs (due Monday 8am)End of Week 2 survey in Canvas Day 8: HC Standard Errors (ppt)Day8.Rmd (pdf) (anno)To Do:   Finish Example 2Quiz 8 in CanvasStart HW 3 Day 9: Introduction to Maximum Likelihood Estimation (ppt)Day9.Rmd(pdf) (anno)To Do:   Quiz 9 in CanvasContinue HW 3 (Preview Day 10 models?) Day 10: Likelihood ratio tests (ppt)Day10.Rmd(pdf) (anno)To Do:   Quiz 10 in CanvasBe thinking about possible project datasets! Day 11: Random vs. Fixed effects (ppt)To Do:   Quiz 11 in Canvas (Mon)Finish HW 3 (Fri)Project proposal (Mon) Day 12: Random intercepts (ppt)Day12.Rmd(pdf) (anno -updating including one page insert!)To Do:   Submit possible project topicFinish Example 2Start HW 4 Day 13: Shrinkage estimators (ppt)Day13.Rmd(pdf) (anno)To Do:   Try simulations?Quiz 13cont. HW 4 Day 14: Why care about estimated random effects? (ppt)Day14.Rmd(pdf) (anno)To Do:   Finish example 2Option: Day 13 quiz againDay 14 quiz HW 4 Day 15: Multilevel models (ppt)Day15.Rmd(pdf) (anno)To Do:   Submit HW 4Submit in Canvas discussion boardsAt least one question on the materialAt least one "sample" example questionDay 15 quiz Day 16: Review (ppt)Review handoutReview problemsSolutionsOptional: Zoom review session 7-8pm Day 17: Exam 1 Day 18: Model diagnostics (Ch. 10) (ppt)Day18.Rmd(pdf) (anno)To Do:   Quiz 18 in CanvasBe getting your project data ready Day 19: Influential observations (ppt)Day19.Rmd(pdf) (anno)To Do:   Submit project report 2?Quiz 19 in Canvas Day 20: Level 2 variables (4.5, 4.6) (ppt)Day20.Rmd(pdf) (anno)To Do:   Start HW 5Quiz 20 in CanvasSee optional articles in Canvas (Week 6 page) Day 21: Random slopes (5.1) (ppt)Day21.Rmd(pdf) (anno)To Do:   Continue HW 5Quiz 21 in Canvas Day 22: Random slopes cont.Day22.Rmd(pdf) (anno)To Do:   Continue HW 5 (see updates)Quiz 22 in Canvas Day 23: Example (ppt)Day23.Rmd(pdf) (anno)To Do: Submit HW 5Day 23 Quiz in Canvas Day 24: Modeling heterogeneity (5.1.1) (ppt)To Do:   Start HW 6Quiz 24 in CanvasSee optional articles in Canvas Halloween fun facts! Day 25: Three-level models (5.5) (ppt)Finish Day 24 handoutDay25.Rmd(pdf) (anno)To Do:   Submit questions for speakerQuiz 24 in CanvasQuiz 25 in CanvasContinue HW 6 Day 26: Guest speaker Day 27: Catch upFinish Day25 handoutTo Do:   Submit HW 6Quiz 26 in Canvas Day 28: Case Study Part 1 (ppt)Day28.Rmd(pdf) (sols)To Do:   Finish Part 1Quiz 28 in Canvas Day 29: Case Study Part 2 (ppt)Day29.Rmd(pdf) (sols)To Do:   Finish Part 2Quiz 28 in Canvas  (video)Submit Exam Q&A Discussion board posts Day 30: Review (ppt)Review handoutReview problems solsOptional: Zoom review session 7-8pm Exam 2To Do:   Submit project update Day 31: Longitudinal data (Ch. 15) (ppt)Day31.Rmd(pdf) (anno)Review Exam 2To Do:   Submit project updateQuiz 31 in CanvasStart HW 7 Day 32: Relaxing assumptions (ppt)Day32.Rmd(pdf)(anno)To Do:   Continue HW 7, projectsOverview of logistic regressionRmd Day 33: Multilevel logistic regression (ppt)Day33.Rmd(pdf) (anno)To Do:   Continue HW 7, projects Day 34: Multilevel logistic regression cont. (ppt)Day34.Rmd(pdf) (anno)To Do:   Day 34 Quiz (in Canvas)Finish HW 7Project advice (ppt)Final exam surveyFriday office hour on zoom at noon Day 35: Imperfect hierarchies (Ch. 13) (ppt)Day35.Rmd(pdf) (anno)To Do:   Ready presentationsQuiz 35 in Canvas PresentationsPlease send me "access" to the presentation by 8am Guest speaker (zoom) Presentations (ppt)Please send me "access" to the presentation by 8amReview handoutReview problems (updated 12/4)     SolutionsCourse evaluations Office hour 9-11amReview session 7-9pm (zoom) Office hour 12:30-1:30 Final exam 7:10-10amOffice hour 12:30-1:30