EDUR 8131
Educational Statistics 1

Fall 2021

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

Announcements

New: For Pearson Correlations, adding Interpretation Guidelines: (Lovakov and Agadullina 2021 - see Table 2 Empirically Derived Thresholds, small > .12, medium > .24, and large > .41), see link below in calendar for Notes 6.

Welcome to EDUR 8131.  

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 Sept 20.
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 Oct 18.
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 Dec 2.
11. 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
12. SPSS Tutorials are provided in the instructional videos for this course. Below are PDF files showing SPSS instruction.

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
9. These PDF files were obtained from the following sources:
   • Dr. McKnight at U. Oklahoma 
   • Dr. Elvers at U. of Dayton
   • Guang-Hwa Change at Youngstown State U.)

13. 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)

Course Calendar and Content

Weeks 1 through 5 (August 11 to September 13)

• Syllabus (see syllabus link at top of page)
• Notes 1: Descriptive Statistics: Readings and Instructional Videos
• Notes 2: Normal Distribution and Standard Scores: Readings and Instructional Videos
• Notes 3: Statistical Inference: Readings and Instructional Videos
• Notes 4: Hypothesis Testing and One-sample Z test: Readings and Instructional Videos

Test 1 covers Notes 1 through 4, due Sept 20

Weeks 6 through 9 (Sept 20 to Oct 11)

• Notes 4: Hypothesis Testing and One-sample Z test: Readings and Instructional Videos
• Notes 5a: One-sample t-test, and
• Notes 5b: Independent Samples t-test Readings and Instructional Videos
• Notes 5c: Correlated Samples t-test, and
• Notes 6: Correlation Coefficient, Pearson's Readings and Instructional Videos
• 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

Test 2 cover Notes 1 to Notes 7b, due Oct 18

Weeks 10 through 15 (Oct 18 to Nov 29)

• Notes 8a: Simple Regression: Readings and Instructional Videos
• Notes 8b: Multiple Regression: Readings and Instructional Videos
• Notes 9: ANOVA: Readings and Instructional Videos
• Notes 9d: ANCOVA - not covered summer term

Test 3 covers all material, due Dec 2