2. S052/Shopping Presentation – Slide #1 © Willett, Harvard University Graduate School of Education S052: Applied Data Analysis Shopping Presentation: A Few Questions About The Course S-052 Applied Data Analysis S-052 Applied Data Analysis Why? Who? What next? How? What?

3. S052/Shopping Presentation – Slide #2 © Willett, Harvard University Graduate School of Education Your mission, should you decide to accept it … … to seek out new worlds and new ideas, …. to go where no-one has gone before, and … is that it? Your mission, should you decide to accept it … … to seek out new worlds and new ideas, …. to go where no-one has gone before, and … is that it? S052: Applied Data Analysis Shopping Session: Why? The scientists are in terror and the European mind stops Wyndham Lewis taking blindness rather than have his mind stop Night under wind mid garofani the petals are almost still. Ezra Pound, 19?? from Canto CXV The scientists are in terror and the European mind stops Wyndham Lewis taking blindness rather than have his mind stop Night under wind mid garofani the petals are almost still. Ezra Pound, 19?? from Canto CXV The multivariate test of differences was statistically significant The variables that loaded most heavily on the first canonical discriminant function were GHb and HMBG Between-group structure coefficients were.95 and.91 respectively. Author’s name withheld, 1990 from American Educational Research Journal, 27(3) The multivariate test of differences was statistically significant The variables that loaded most heavily on the first canonical discriminant function were GHb and HMBG Between-group structure coefficients were.95 and.91 respectively. Author’s name withheld, 1990 from American Educational Research Journal, 27(3) More details in “Course Objectives & Content,” on the course website …

4. S052/Shopping Presentation – Slide #3 © Willett, Harvard University Graduate School of Education S052: Applied Data Analysis Shopping Session: How? Learn New Skills Actively Learn New Skills Actively:  Learn by Doing … real questions, real data, new methods...  Collaborate… one for all, all for one! Focus On What Humans Do Best Focus On What Humans Do Best:  Plan, Guide, Check … the computer does the rest!  Parse, Interpret, Communicate … Learn New Skills Actively Learn New Skills Actively:  Learn by Doing … real questions, real data, new methods...  Collaborate… one for all, all for one! Focus On What Humans Do Best Focus On What Humans Do Best:  Plan, Guide, Check … the computer does the rest!  Parse, Interpret, Communicate … Introducing the “Cognitive Apprentice” More details in “Course Objectives & Content,” on the course website …

5. S052/Shopping Presentation – Slide #4 © Willett, Harvard University Graduate School of Education S052: Applied Data Analysis Shopping Session: Who? The Good News!!! … S-052 extends the work of S-030!! … If you completed S-030, you’re in! The Good News!!! … S-052 extends the work of S-030!! … If you completed S-030, you’re in! Welcome S030, Class of 2008/9!! The Bad News … If you didn’t complete S-030, then you must meet the “S-030 Standard.” The Key Question Is … Do you have a “practical working knowledge of multiple regression analysis, including the use and interpretation of statistical interactions”? All Cross-Registrants… Please c omplete the on-line cross- registrant biography sheet … The Bad News … If you didn’t complete S-030, then you must meet the “S-030 Standard.” The Key Question Is … Do you have a “practical working knowledge of multiple regression analysis, including the use and interpretation of statistical interactions”? All Cross-Registrants… Please c omplete the on-line cross- registrant biography sheet … More details in the “Course Objectives & Content” handout, on course website. More details in the “Course Objectives & Content” handout, on course website.

6. S052/Shopping Presentation – Slide #5 © Willett, Harvard University Graduate School of Education S052: Applied Data Analysis Shopping Session: What? More details can be found in the “Course Objectives and Content” handout on the course webpage. Multiple Regression Analysis (MRA) Multiple Regression Analysis (MRA) Do your residuals meet the required assumptions? Test for residual normality Use influence statistics to detect atypical datapoints If your residuals are not independent, replace OLS by GLS regression analysis Use Individual growth modeling Specify a Multi-level Model If your sole predictor is continuous, MRA is identical to correlational analysis If your sole predictor is dichotomous, MRA is identical to a t-test If your several predictors are categorical, MRA is identical to ANOVA If time is a predictor, you need discrete-time survival analysis… If your outcome is categorical, you need to use… Binomial logistic regression analysis (dichotomou s outcome) Multinomial logistic regression analysis (polytomous outcome) If you have more predictors than you can deal with, Create taxonomies of fitted models and compare them. Form composites of the indicators of any common construct. Conduct a Principal Components Analysis Use Cluster Analysis Use non-linear regression analysis. Transform the outcome or predictor If your outcome vs. predictor relationship is non- linear, How do you deal with missing data?

7. S052/Shopping Presentation – Slide #6 © Willett, Harvard University Graduate School of Education S052: Applied Data Analysis Shopping Session: What Next? : Register :  No auditors.  I will sign cross-registrant forms for those who have completed S-030 immediately; for others, I will sign when I have had time to consider their petitions.  All cross-registrants should complete and submit the on-line Cross-Registrant Biography form.. Get a functioning Harvard PIN and Password. : Check you have functioning HGSE computer access:  Cross-registrants will receive a computer account once registration is complete. : Check out the Course Website:Course Website  Today: Print “Course Objectives and Content,” Frequently-Asked Questions,” & “Topic and Assignment Schedule” handouts. Read them, they are our learning contract.  Weekend: Watch for the “Welcoming” email.  Before First Class: Check Announcements on course website for the Class Handouts you will need to print and bring to the first class. : Register :  No auditors.  I will sign cross-registrant forms for those who have completed S-030 immediately; for others, I will sign when I have had time to consider their petitions.  All cross-registrants should complete and submit the on-line Cross-Registrant Biography form.. Get a functioning Harvard PIN and Password. : Check you have functioning HGSE computer access:  Cross-registrants will receive a computer account once registration is complete. : Check out the Course Website:Course Website  Today: Print “Course Objectives and Content,” Frequently-Asked Questions,” & “Topic and Assignment Schedule” handouts. Read them, they are our learning contract.  Weekend: Watch for the “Welcoming” email.  Before First Class: Check Announcements on course website for the Class Handouts you will need to print and bring to the first class. Before the course begins, please … … do something exciting!!