EDUR 8132
Educational Statistics 2

Spring 2016

Instructor: Bryan W. Griffin (bwgriffin@GeorgiaSouthern.edu)
My personal web pages: http://www.bwgriffin.com

Course Index (e.g., tests, activities, reading and other material to review for each class session)

  1. Syllabus
  2. Textbook related:
  3. Creating PDF Files
  4. Course Reading Assignments
  5. Course Calendar
  6. Reporting statistical results in APA style:
  1. Regression
  1. ANOVA
  1. Other Statistics
  1. Test 1: Covers Introductory Material, Notes 8a, Model Fit, Notes 8b, Notes 8c. Test 1 may be posted by 2/8 or 2/15 
  2. Test 2: Covers material above and Notes 8d, 8e, 8f, 8g, possibly 8h. Test 2 may be posted by 3/21
  3. Test 3: Covers all material above and ANOVA/ANCOVA (Notes 9, 9b, 9c, 9d). Test 2 may be posted by 4/26 
  4. Notes and Videos
  1. Review of Basics
  2. Simple Regression with One Quantitative Predictor
  3. Multiple Regression with Multiple Quantitative Predictors
  4. Squared Semi-partial Correlation (ΔR2)
    • Notes 8c Regression Squared Semi-partial Correlation 
    • Detailed notes: Read Notes 8b page 5 section entitled "ΔR2, Semi-partial Correlation, and the Partial F Test of ΔR2"
    • Video: ΔR2 Discussed and Illustrated in SPSS;  ΔR2 Notes used in video; Test Score Data (in SPSS format) used in video
      • (Note: SPSS syntax offers easy way to obtain several ΔR2 values and F ratios simultaneously: change Method=enter x1 x2 x3 x4 to Method=test (x1) (x2 x3) (x4). For Video data above, this command change produces summary output: "/METHOD=ENTER Study_Time IQ Griffin Moore" to this "/METHOD=TEST (Study_Time) (IQ) (Griffin Moore)" Add video segment to video above demonstrating this.
    • Table of Critical F-ratios: Critical F at .05 and .01
    • Instructor's note: Review all notes and change label from "semi-partial correlation" to "squared semi-partial correlation"
  5. Regression with One Qualitative Predictor
  6. Regression with Multiple Qualitative and Quantitative Predictors
  7. Effect sizes in regression (to be added)
  8. Sample size for regression (to be added)
  9. Standardized Regression Equation
  10. One-way ANOVA Models (Note to instructor -- briefly discuss finding and using critical F values)
  11. Multi-way ANOVA Models
  12. Possible Additional Content
    1. Effect sizes in ANOVA
    2. Sample size for ANOVA
    3. Interactions in Regression
    4. Polynomial Regression
    5. Model fitting and assessment (multicollinearity, nonlinearity, etc.)
    6. Common Research Designs and Related Statistical Analysis (e.g. Post-test only control, Pretest-posttest control, Non-equivalent control group, etc.)
    7. Logistic regression or Factor Analysis
  1. SPSS Tutorials (some obtained from various on-line sources: Dr. McKnight at U. Oklahoma,  Dr. Elvers at U. of Dayton, Guang-Hwa Change at Youngstown State U.)
  1. Introductory and advanced SPSS tutorials: http://www.ats.ucla.edu/stat/spss
  2. Entering data into SPSS (variable labels, value labels, setting variable as numeric, etc.)
            Data Entry A, Data Entry B, http://www.nau.edu/~its/acad/stats/docs/spsswin.html, http://www.cam.ac.uk/cs/docs/leaflets/m583/
  3. Frequencies/Explore Commands (including descriptive statistics, box plots, histograms, stem-and-leaf, etc.)
            Frequencies A, Frequencies B, Stem and Leaf, Various Graphical Displays
  4. t-tests (one sample, independent sample, and correlated samples)
            t-tests
  5. Correlation 
            Correlation A, Correlation B, For scatter plots see Various Graphical Displays above
  6. Regression 
            Regression A, Regression B
  7. ANOVA
            ANOVA A (using ONEWAY command), ANOVA B (using ONEWAY command), ANOVA C (using UNIVARIATE command)
  8. ANCOVA
            ANCOVA A
  1. Instructional statistical videos can be found here: http://www.learner.org/resources/series65.html

Course Reading Assignments

Topic Readings
1. Hypothesis Testing Logic Chapters 5, 6
2. Regression Chapter 9
3. Multiple Regression Chapters 10, 11
4. ANOVA Chapter 12
5. ANCOVA/Regression Chapter 13
6. Modeling building in Regression/ANOVA Chapter 14
7. Logistic Regression Chapter 16
   

Course Calendar (will be revised throughout term)

Week 1 (1/11)

  1. Syllabus 
  2. Introductory Notes (variables, IV vs. DV, modeling behavior, central tendency, variability, correlation, t-test, SPSS, hypothesis testing logic)
    • Instructor's note - live chats covered through correlation

Self -Assessment Activity

Review of Basics - Writing Hypotheses, Descriptive Statistics t-test, Pearson r, Hypothesis Testing

Question 5 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week01/Week01Q5Data.sav
Excel: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week01/Week01Q5Data.xlsx

Review of Basics - Answers

Videos of Answers

Question 3 (Time = 2:20): SPSS Frequencies and descriptive statistics  
Question 4 (Time = 4:20): SPSS Independent samples t-test
Question 5 (Time = 4:45): SPSS Pearson Correlation    

Week 2 (1/18)

  1. Complete Introductory Notes (as needed)
  2. Simple Regression: Notes 8a (with one quantitative predictor) 
    • Instructor's note - live chats covered through student ratings example, resume at Additional Examples
Self -Assessment Activity

Regression - with One Quantitative Predictor

Question 2 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week01/Week01Q5Data.sav
Excel: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week01/Week01Q5Data.xlsx

Regression Answers - to self-assessment linked above

Videos of Answers (to be added)

Question 2 (Time = ):        

Week 3 (1/25)

  1. Resume "Simple Regression: Notes 8a" as needed
  2. Model Fit
Activity for Weeks 2 and 3 are combined, so see activity in Week 2.

Week 4 (2/1)

  1. Multiple Regression: Notes 8b (two or more quantitative predictors)  
    • Instructor's note - covered 8b, but not APA presentation of final example
Self -Assessment Activity

Multiple Regression -- examining the partial contribution of several predictors

Questions 2 and 3 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week04/cars_missing_deleted.sav 
Other: Let me know if you prefer a different data file format other than SPSS    

Multiple Regression Answers

Week 5 (2/8)

  1. Continue with "Multiple Regression: Notes 8b" 
  2. Regression Squared Semi-partial Correlation (ΔR2) Notes 8c  
Activity for Weeks 4 and 5 are combined, so see activity in Week 4.

Test 1 posted after Multiple Regression and Model Fit covered, approximately 2/8 or 2/15 

Week 6 (2/15)

  1. Regression with One Qualitative Predictor: Notes 8d
Self -Assessment Activity

Regression with a Qualitative Predictor --  group comparisons with regression 

Question 5 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week04/cars_missing_deleted.sav 
Other: Let me know if you prefer a different data file format other than SPSS    

Regression with a Qualitative Predictor Answers   

Week 7 (2/22)

  1. Resume Notes 8d 
  2. Regression Multiple Comparisons: Notes 8e
  3. Possibly begin Regression with Two Qualitative Predictors: Notes 8f  
    • Instructor's note - covered 8d
Activity for Weeks 6 and 7 are combined, so see activity in Week 6.

Week 8 (2/29)

  1. Regression with Two Qualitative Predictors: Notes 8f     
    • Instructor's note - completed qual. predictor, briefly discussed interpretation with two qual IVs, began multiple comparisons
Self -Assessment Activity

Regression and Multiple Comparisons with Several Qualitative Predictors -- group comparisons with regression 

Question 4 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week04/cars_missing_deleted.sav 
Other: Let me know if you prefer a different data file format other than SPSS    

Answers for Regression and Multiple Comparisons with Several Qualitative Predictors 

Week 9 (3/7) (Instructor's Note: Fall 2010 covered notes on multiple comparisons)

  1. Regression with Both Qualitative and Quantitative Predictors: Notes 8g      
    • Instructor's note - covered MCs
Self -Assessment Activity

Regression with both Qualitative and Quantitative Predictors (and Multiple Comparisons)  

Question 2 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week09/BloodPressureDrugs.sav 
Excel: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week09/BloodPressureDrugs.xlsx  

Question 3 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week04/cars_missing_deleted.sav 
Other: Let me know if you prefer a different data file format other than SPSS    

Answers for Regression with both Qualitative and Quantitative Predictors (and Multiple Comparisons)  

Spring Break - March 14 to 18  

Week 10 (3/21)

  1. Notes 8h: Standardized Regression Equation?  (present this during week 14?)
  2. Effect sizes?
  3. Sample sizes?
    • Instructor's Note - covered notes on multiple comparisons with two qual IVs.

Test 2 posted once regression completed, approximately 3/21

Week 11 (3/28)

  1.  ANOVA: Notes 9 and 9b.
Self -Assessment Activity

ANOVA and Regression: A Comparison   

Question 1 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week09/BloodPressureDrugs.sav 
Excel: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week09/BloodPressureDrugs.xlsx  

Question 3 Data

SPSS: http://www.bwgriffin.com/gsu/courses/edur8132/selfassessments/Week04/cars_missing_deleted.sav 
Other: Let me know if you prefer a different data file format other than SPSS    

Answers for ANOVA and Regression: A Comparison  (at this point only software results are presented; written answers still to be provided)  

Week 12 (4/4)

  1. ANOVA: Notes 9 and 9b
  2. Notes 9c

Week 13 (4/11)

  1. Notes 9c
  2. Notes 9d: ANCOVA

Week 14 (4/18)

  1. Notes 9d
  2. Standardized regression coefficients

No Class 11/26 Thanksgiving

Week 15 (4/25)

  1. Interactions in regression?
  2. Polynomial regression?
  3. Logistic regression?
  4. Repeated measures ANOVA?
  5. Student selected topic?

Test 3 posted sometime around 4/26

 Test 3 due 5/3

 

NOTE -- Ignore Material below this point

Course Assessment Questionnaire

General Readings on ANOVA:

ANCOVA

 

Instructor's Note: add links to on-line statistical programs, e.g.

http://home.ubalt.edu/ntsbarsh/Business-stat/otherapplets/SampleSize.htm#rmenu 

http://noppa5.pc.helsinki.fi/koe/flash/flash.html

Copyright 2005, Bryan W. Griffin

Last revised on 05 January, 2024 08:03 AM