S010Y/Shopping Presentation – Slide #1 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: A Few Questions? S-010Y Answering Questions With Quantitative Data S-010Y Answering Questions With Quantitative Data Why? Who & What? What Next? How?

S010Y/Shopping Presentation – Slide #2 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: Why? Everywhere in our professional lives, questions are addressed, and decisions made, systematic collection and processing of evidence by the systematic collection and processing of evidence. Everywhere in our professional lives, questions are addressed, and decisions made, systematic collection and processing of evidence by the systematic collection and processing of evidence. Have SAT scores declined? By how much? Has no child been left behind? In elementary school, are smaller classes better? Are early-exit bilingual programs effective? If the universe is expanding, will it be easier to find a parking space in Harvard Square? Different questions demand different evidence …there is no universal methodological panacea! Answering Complex Questions In Education … requires a sensible Partnership Of Methodologies!!! Different questions demand different evidence …there is no universal methodological panacea! Answering Complex Questions In Education … requires a sensible Partnership Of Methodologies!!!

S010Y/Shopping Presentation – Slide #3 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: Why? Complementary Approaches … A Quantitative Approach: A Qualitative Approach: More details can be found in the “Objectives and Content” handout on the module website. Start with: S010Y: Answering Questions with Quantitative Data Start with: S010Y: Answering Questions with Quantitative Data Continue the sequence: 2. S-030: Intermediate Statistics 3. S-052: Applied Data Analysis 4. S-061: Methods of Educational Measurement 4. S-077: Applied Longitudinal Data Analysis 5. S-290: Methods for Causal Inference 6. Other courses, at HGSE and across Harvard Continue the sequence: 2. S-030: Intermediate Statistics 3. S-052: Applied Data Analysis 4. S-061: Methods of Educational Measurement 4. S-077: Applied Longitudinal Data Analysis 5. S-290: Methods for Causal Inference 6. Other courses, at HGSE and across Harvard S-531: Qualitative Research Seminar. S-504: Introduction to Qualitative Research. S-710C: Interviewing in Qualitative Research S-710B: Observation and Participation in Qualitative Research S560: Moving from Data Collection to Analysis of Qualitative Data S-522: Analyzing Culture: Dialogue, Discourse & Theme S-508: Methods of Research in the History of Education A-162: Portraiture in Social Science

S010Y/Shopping Presentation – Slide #4 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: 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 …

S010Y/Shopping Presentation – Slide #5 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: Who, And What? More details can be found in the “Objectives and Content” handout on the course website. S-010Y entering doctoral students with no prior experience in (or no memory of) quantitative methods. … serves entering doctoral students with no prior experience in (or no memory of) quantitative methods. “Welcome, Class of 2009” Vocabulary of quantitative methods … introduces the Basic Concepts, Language and Vocabulary of quantitative methods Statistical Significance Hypothesis Test Descriptive Statistic Variable Regression Analysis  2 statistic Population Sample Bivariate Relationship p-value

S010Y/Shopping Presentation – Slide #6 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class : What Next? Petition Out Of The Module, If You Have Equivalent Prior Experience, And Can Make Progress Elsewhere:  me to initiate the petitioning process. Otherwise, Register For The Module:  Only HGSE doctoral students.  No auditors, no Master’s students, no pool, no pets … Obtain A Functioning Harvard PIN And Password. Confirm That You Have Working HGSE Computer Access:  Do you know how to use the system?  Can you use word processing software?  Can you use spreadsheet software? Check Out The S-010Y Website: S-010Y WebsiteS-010Y Website  Await the “Welcoming” .  Then: Print out the Module Content, FAQ’s and Schedule. Read them over carefully, they are our learning contract.  One day before the first class: Check the website for Course Announcements. Print out Class Handouts for the 1 st class. Petition Out Of The Module, If You Have Equivalent Prior Experience, And Can Make Progress Elsewhere:  me to initiate the petitioning process. Otherwise, Register For The Module:  Only HGSE doctoral students.  No auditors, no Master’s students, no pool, no pets … Obtain A Functioning Harvard PIN And Password. Confirm That You Have Working HGSE Computer Access:  Do you know how to use the system?  Can you use word processing software?  Can you use spreadsheet software? Check Out The S-010Y Website: S-010Y WebsiteS-010Y Website  Await the “Welcoming” .  Then: Print out the Module Content, FAQ’s and Schedule. Read them over carefully, they are our learning contract.  One day before the first class: Check the website for Course Announcements. Print out Class Handouts for the 1 st class. For details, see Objectives & Content, Frequently Asked Questions, and Topic/Assignment Schedule on the course website. Do something interesting & useful …