EDUR 8131
Educational Statistics 1

Fall 2019

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

Announcement:

Note to Instructor - Spring 2020 -

• Add Z test examples as separate file/video

• Add sample test 1 answers so students see formatting, name, etc. to model their submissions

Add PSPP examples? Add R examples?

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

1. Syllabus
2. Course Calendar - see below.
3. Readings are found in Course Calendar.
4. Creating PDF Files
5. Reporting statistical results in APA style (Word Documents so you can copy and paste tables)
   • One-sample t-test   
   • Two-independent samples t-test 
   • Paired-samples (correlated-samples) t-test 
   • Pearson Correlation Coefficients   
   • Chi-square Goodness-of-fit 
   • Chi-square Test of Association 
   • Simple Regression 
   • Multiple Regression 
   • One-way ANOVA
   • One-way ANCOVA (instructor note - add table of group means for pretest and posttest)
   • Two-way ANCOVA
   • One-way ANCOVA with Covariate by Factor Interaction
6. Sample Test 1 (material through one-sample t-test; note, however, for this semester Test 1 does not cover one-sample t-test, that is found on Test 2)
7. Sample Test 2 (shows examples of data analysis section of Test 2 with t-tests, correlation, and chi-square; Sample Test 2 Answers)
8. Test 1: Covers content found in
   • Notes 1 Descriptive Statistics
   • Notes 2 Normal Distribution and Standard Scores
   • Notes 3 Statistical Inference
   • Notes 4 Hypothesis Testing and One-sample Z test. 
   • Test 1 due 9/21.
9. Test 2: Covers content found in
   • Notes 1 through 4, and also
   • Notes 5a, 5b, 5c: t-tests
   • Notes 6 Correlation Coefficient, Pearson's r
   • Notes 7a, 7b: Chi-square Tests
   • Test 2 due 10/12.
10. Test 3: Covers all content found in
    • Notes 1 through 7, and also
    • Notes 8a, 8b: Regression
    • Notes 9 ANOVA
    • Notes 9d ANCOVA (may not be covered this term)
    • Test 3 due 12/6.
11. Exercises
    • Central Tendency, Variability, Graphical Displays (with answers)
    • Displaying Data (with answers)
    • Z scores, Percentile Ranks, and Z test (with answers)
    • One and Two Samples t-test  (answers)
    • Correlated Samples t-test (answers)
    • One Sample, Two Samples, and Correlated t-tests (with answers)
    • Correlation (answers)
    • Chi-square (with answers)
    • ANOVA (answers : this is a Word Document)
    • Regression (see regression notes)
    • ANCOVA (to be added)
12. Table of Statistical Procedures and Their Characteristics: PDF Table
    • Use this table to identify which statistical test is suitable for your data and research scenarios
    • Video below explains how to use this table; you should first learn/review t-tests, Pearson r, and Chi-square tests (Notes 5, 6, and 7)
    • Selecting statistical procedures (video is also found under week 8 for fall/spring and week 3 for summer)
    • Video Presentation material (see page 10 for selecting correct statistical test):
      • Document: Chi-square Goodness-of-Fit, Chi-square Test of Association, and Determining which statistical test to use among t-tests, Pearson r, and chi-square tests Word
      • Document: Chi-square Goodness-of-Fit, Chi-square Test of Association, and Determining which statistical test to use among t-tests, Pearson r, and chi-square tests PDF
13. SPSS Tutorials (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. Entering data into SPSS (variable labels, value labels, setting variable as numeric, etc.)
           Data Entry A, Data Entry B
2. Frequencies/Explore Commands (including descriptive statistics, box plots, histograms, stem-and-leaf, etc.)
           Frequencies A, Frequencies B, Stem and Leaf, Various Graphical Displays
3. t-tests (one sample, independent sample, and correlated samples)
           t-tests, independent samples t-tests
4. Correlation 
           Correlation A, Correlation B, For scatter plots see Various Graphical Displays above
5. Chi Square
           Goodness of Fit  and Test of Association; other examples:  Goodness of Fit A, Goodness of Fit B (note this is a Word document),  Test of Association
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
14. JASP (free alternative to SPSS)
    • Download JASP: https://jasp-stats.org/
    • Instructional Videos (if not linked, to be added)
      • Data Entry, Descriptive Statistics, Frequencies, and Graphical Output (Summary Presentation Notes 1)
        • In addition to comma delimited files (*.csv), JASP can open SPSS (*.sav) files.
        • Frequencies for numbers with decimals - a JASP "hack" to make it work
      • One Sample t-test (Summary Presentation Notes 5a)
      • Two Samples t-test (Summary Presentation Notes 5b)
      • Correlated Samples t-test (Summary Presentation Notes 5c)
      • Pearson Correlation r (Summary Presentation Notes 6)
      • Chi-square Goodness-of-fit  (Summary Presentation Notes 7a)
      • Chi-square Test of Association (Summary Presentation Notes 7b)
      • Regression: One Predictor (i.e. Simple Regression) and Multiple Predictors (i.e., Multiple Regression; Summary Presentation Notes 8a and 8b)
      • ANOVA (Summary Presentation Notes 9)
15. On-line Statistical Resources
    • http://statpages.org/
    • http://www.causeweb.org/
16. Links to on-line statistical calculators: http://home.ubalt.edu/ntsbarsh/Business-stat/otherapplets/SampleSize.htm#rmenu 
    

Course Calendar and Content

Week 1 (8/19)

• Syllabus (see syllabus link at top of page)
• Notes 1: Descriptive Statistics: Readings and Instructional Videos

Week 2 (8/26)

• Continue with Notes 1: Descriptive Statistics from Week 1 above

Week 3 (9/2)

• Notes 2: Normal Distribution and Standard Scores: Readings and Instructional Videos

Week 4 (9/9)

• Notes 3: Statistical Inference: Readings and Instructional Videos

Week 5 (9/16)

• Notes 4: Hypothesis Testing and One-sample Z test: Readings and Instructional Videos

Test 1 covers Notes 1 through 4

Week 6 (9/23)

• Notes 5a: One-sample t-test, and
• Notes 5b: Independent Samples t-test
• Readings and Instructional Videos for each topic above

Week 7 (9/30)

• Notes 5c: Correlated Samples t-test, and
• Notes 6: Correlation Coefficient, Pearson's
• Readings and Instructional Videos for each topic above

Week 8 (10/7)

• Notes 7a: Chi-square Goodness-of-fit, and
• Notes 7b: Chi-square Test of Association, and
• Determining Which Statistical Test to Use for Test 2
• Readings and Instructional Videos for each topic above

Test 2 cover Notes 1 to Notes 7b

Week 9 (10/14)

• Notes 8a: Simple Regression: Readings and Instructional Videos

Week 10 (10/21)

• Notes 8b: Multiple Regression: Readings and Instructional Videos

Week 11 (10/28)

• Continue with Notes 8b: Multiple Regression from Week 10 above

Week 12 (11/4)

• Notes 9: ANOVA: Readings and Instructional Videos

Week 13 (11/11)

• Continue with Notes 9: ANOVA from Week 12 above

Week 14 (11/18)

• Notes 9d: ANCOVA - material to be revised and not cover this semester.
• Readings and Instructional Videos

Thanksgiving 25-29

Week 15 (12/2)

• Continue with Notes 9d: ANCOVA from Week 14 above

Test 3 covers all material