Stat 414 - Lectures Notes

 

Remember if you print slides to choose "Pure black and white" and "Handouts (6 slides per page)."  

 

Monday 

Tuesday 

Wednesday 

Thursday
Day 0: What is multilevel data

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) 


To Do:

Day 3: Inference  for regression models (ppt)


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)
  • 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)
To Do:

 

  • Quiz 5 in Canvas
  • Continue HW 2
 Day 6: Unequal variances (ppt)

To Do:

 

  • Quiz 6 in Canvas (due Friday 8am)
  • Continue HW 2

 Day 7: Between vs. Within Associations (3.6)

To Do:

 

  • Quiz 6 in Canvas (due Friday 8am)
  • Submit HW 2
  • Quiz 7 in Canavs (due Monday 8am)
  • End of Week 2 survey in Canvas
Day 8: HC Standard Errors (ppt)

To Do:

 

  • Finish Example 2
  • Quiz 8 in Canvas
  • Start HW 3
Day 9: Introduction to Maximum Likelihood Estimation (ppt)

To Do:

 

  • Quiz 9 in Canvas
  • Continue HW 3 (Preview Day 10 models?)
Day 10: Likelihood ratio tests (ppt)

To Do:

 

  • Quiz 10 in Canvas
  • Be 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)

To Do:

 

  • Submit possible project topic
  • Finish Example 2
  • Start HW 4
Day 13: Shrinkage estimators (ppt)

To Do:

 

Day 14: Why care about estimated random effects? (ppt)

To Do:

 

  • Finish example 2
  • Option: Day 13 quiz again
  • Day 14 quiz
  •  HW 4
Day 15: Multilevel models (ppt)

To Do:

 

  • Submit HW 4
  • Submit in Canvas discussion boards
    • At least one question on the material
    • At least one "sample" example question
  • Day 15 quiz
Day 16: Review (ppt)

Optional: Zoom review session 7-8pm		Day 17: Exam 1Day 18: Model diagnostics (Ch. 10) (ppt)

To Do:

 

  • Quiz 18 in Canvas
  • Be getting your project data ready
Day 19: Influential observations (ppt)

To Do:

 

  • Submit project report 2?
  • Quiz 19 in Canvas
Day 20: Level 2 variables (4.5, 4.6) (ppt)

To Do:

 

  • Start HW 5
  • Quiz 20 in Canvas
  • See optional articles in Canvas (Week 6 page)

Day 21: Random slopes (5.1) (ppt)

To Do:

 

  • Continue HW 5
  • Quiz 21 in Canvas
Day 22: Random slopes cont.

To Do:

 

  • Continue HW 5 (see updates)
  • Quiz 22 in Canvas
Day 23: Example (ppt)

To Do:
  • Submit HW 5
  • Day 23 Quiz in Canvas
Day 24: Modeling heterogeneity (5.1.1) (ppt)

To Do:

 

  • Start HW 6
  • Quiz 24 in Canvas
  • See optional articles in Canvas

Halloween fun facts!		Day 25: Three-level models (5.5) (ppt)

To Do:

 

  • Submit questions for speaker
  • Quiz 24 in Canvas
  • Quiz 25 in Canvas
  • Continue HW 6
Day 26: Guest speakerDay 27: Catch up
  • Finish Day25 handout

To Do:

 

  • Submit HW 6
  • Quiz 26 in Canvas
Day 28: Case Study Part 1 (ppt)

To Do:

 

  • Finish Part 1
  • Quiz 28 in Canvas
Day 29: Case Study Part 2 (ppt)

To Do:

 

  • Finish Part 2
  • Quiz 28 in Canvas  (video)
  • Submit Exam Q&A Discussion board posts
Day 30: Review (ppt)

Review handout
Review problems sols

Optional: Zoom review session 7-8pm		Exam 2

To Do:

 

  • Submit project update

Day 31: Longitudinal data (Ch. 15) (ppt)

To Do:

 

  • Submit project update
  • Quiz 31 in Canvas
  • Start HW 7
Day 32: Relaxing assumptions (ppt)

To Do:

 

Day 33: Multilevel logistic regression (ppt)

To Do:

 

  • Continue HW 7, projects
Day 34: Multilevel logistic regression cont. (ppt)

To Do:

 

  • Day 34 Quiz (in Canvas)
  • Finish HW 7
  • Project advice (ppt)
  • Final exam survey

Friday office hour on zoom at noon



Day 35: Imperfect hierarchies (Ch. 13) (ppt)

To Do:

 

  • Ready presentations
  • Quiz 35 in Canvas
Presentations

Please send me "access" to the presentation by 8am		Guest speaker (zoom)Presentations (ppt)

Please send me "access" to the presentation by 8am

Review handout
Review problems (updated 12/4)
     Solutions

Course evaluations
Office hour 9-11am

Review session 7-9pm (zoom)		Office hour 12:30-1:30Final exam 7:10-10am

Office hour 12:30-1:30