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

To Do for Wednesday:

  • Initial Course survey in Canvas
  • Introduction in Canvas (Flip)
 Day 0: What is multilevel data?

To Do for Monday:

  • Install R/Rstudio
  • Read Ch. 2
  • Quiz 0 in Canvas (due 9am Monday)
Day 1: Linear Regression Models

To Do for Tuesday:

 

  • Quiz 1 in Canvas (due 9am Tuesday)
  • Review Basic Regression Model Assumptions (doc)
  • Start HW 1
 Day 2: Linear Regression Model Assumptions

To Do for Wednesday:

 

 Day 3: Inference for Regression

To Do for Thursday:
  • Quiz 3 in Canvas (due 9am Thursday)
  • ANOVA Tables (doc)
  • Cont HW 1
  • Optional: "The illusion of predictability: How regressoin statistics mislead experts" (Soyer & Hogarth) in Canvas
 Day 4: Categorical variables
  • More on Day 3 handout
  • (Rmd) (pdf) (ppt)
  • Back to Day 3 handout

To Do for Friday
  • Submit HW 1

To Do for Monday:
  • Quiz 4 in Canvas (due 9am Monday)
Day 5: Multiple regression
To Do for Tuesday:

 

  • Quiz 5 in Canvas (due 9am Tuesday)
  • Start HW 2
  • See HW 1 solutions in Canvas (assignment page)
 Day 6: Partial F-tests

To Do for Wednesday:

 

  • Quiz 6 in Canvas (due 9am Wednesday)
  • Cont HW 2 (even problems 2 and 3 without class discussion)
  • Week 2 survey
Day 7: Adjusted associations and interactions

To Do for Thursday:
  • Quiz 7 in Canvas (due 9am Thursday) 
    • This is a quiz not a survey...
Day 8: Handling unequal variances
To Do for Friday
  • Submit HW 2
  • Review materials posted soon

To Do for Monday:
  • Quiz 8 in Canvas (due 9am Monday)
Day 9: Review (ppt)

Optional: Zoom review session 7-8pm		 Exam 1 Day 10: HC Standard Errors (ppt)
To Do for Thursday:

 

  • Finish Example 2
  • Quiz 10 in Canvas
  • Start HW 3
  • Skim Ch. 3
  • Finalize project groups...
 Day 11: Introduction to Maximum Likelihood Estimation (ppt)
To Do for Monday:

 

  • Day 11 Quiz
  • Submit Project Part 1
  • Start HW 3
  • Start computer problem (with partner)
  • Finish Example 2
Day 12: Likelihood ratio tests
To Do for Tuesday
  • Day 16 Quiz
 Day 13: Correlated observations

To Do for Wednesday:
  • Day 13 Quiz
 Day 14: Fixed vs. Random effects

To Do for Thursday:
  • Day 14 quiz
 Day 15: Shrinkage (4.8)
To Do for Friday/Monday:

 

  • Submit HW 3
  • Submit CP1
  • Day 15 quiz
Day 16:  Random intercepts (Ch. 4)

To Do for Tuesday:
  • Day 16 Quiz
  • Start HW 4
  • Be reading Ch. 4
 Day 17: Adding Level 1 variable (4.4)

To Do for Wednesday:
  • Day 17 Quiz
 Day 18: Adding Level 1 variable cont.

To Do for Thursday:
  • Day 18 quiz
 Day 19: Adding Level 2 variable (4.5)
To Do for Monday:

 
Day 20: Recap


To Do for Tuesday:
Day 21: Random slopes (5.1)

To Do for Wednesday:
  • Day 21 Quiz
 Day 22: Cross-level interactions (5.2)

  • No new handout

To Do for Thursday: 		Day 23: Modeling heteroscedasticity (5.1)

To Do for Monday:

 

  • Submit HW 5 
  • Day 23 Quiz
Day 24: Random slopes cont.

To Do for Tuesday: 		Day 25: Diagnostics: Outliers (Ch. 10)

To Do for Wednesday:
  • Day 25 Quiz
  • May need to update your version of R
 Day 26: Diagnostics: Influential observations

To Do :
  • Submit Computer problem 2 (due Wed pm)
  • Day 26 quiz (due Monday)
Links to an external site.		 Day 27: Case Study


To Do :
  • Day 27 quiz (due Monday
Day 28: Case Study cont.

 Day 29: Review (ppt)
 Exam 2! Guest speaker!!

To Do :
  • Projects...
Day 30: Logistic models (Ch. 17)

  • To Do
    • Quiz 30 (read discussion, see also section 5.5)
    • Review Ch. 13 on imperfect hierarchies
    • Start HW 7
    • Be working on project/reviewing feedback/asking questions (see ppt for more advice)
 Day 31: Misc 

  • To Do
    • Day 31 Quiz
    • Sections 17.1-17.3
 Day 32: Longitudinal models (Ch. 15)
  • To Do
    • Quiz 32 
    • Read sections 15.1, 15.3
 Day 33: Longitudinal models cont.
  • To Do
    • No quiz, but review "leftovers" and quotes in powerpoint
    • Submit HW 7
    • Continue probject
Day 34: Guest speakerDay 35: Presentations

See presentation order in canvas		Day 36: PresentationsDay 37: Review