2. S010Y/Shopping Presentation – Slide #1 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: Five Easy Pieces? S-010YAnsweringQuestionsWithQuantitativeDataS-010YAnsweringQuestionsWithQuantitativeData What is the pedagogic approach that is used in the module? What are some important things you should make and do before the module begins? What work will be required of you, as a registered member of the class? Who is the audience for the module, and what content is covered? What is the mission of the module, should you decide to accept it?

3. S010Y/Shopping Presentation – Slide #2 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: What Is the Mission of S-010Y? 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!!!

4. S010Y/Shopping Presentation – Slide #3 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: What Is the Mission of S-010Y? Complementary approaches in the partnership are: 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

5. S010Y/Shopping Presentation – Slide #4 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: What Pedagogic Approach Is Used in S-010Y? Cognitive Apprenticeship More details can be found in the “Objectives and Content” handout on the course website. Learn New Skills Actively …  By doing things – acquiring new skills by applying new methods to real data and answering real questions.  By participating in a community whose members display differing expertise, who model responsible behavior, and who offer feedback and mutual support. Learn New Skills Actively …  By doing things – acquiring new skills by applying new methods to real data and answering real questions.  By participating in a community whose members display differing expertise, who model responsible behavior, and who offer feedback and mutual support. Do What Humans Do Best …  By planning data-analyses to address research questions explicitly and appropriately.  By guiding the computer as it does the legwork, and making sure that it completes the work correctly.  By checking the constraints (assumptions) under which the work has been conducted, have been met.  By interpreting and communicating work products for members of your own, and nearby, communities. Do What Humans Do Best …  By planning data-analyses to address research questions explicitly and appropriately.  By guiding the computer as it does the legwork, and making sure that it completes the work correctly.  By checking the constraints (assumptions) under which the work has been conducted, have been met.  By interpreting and communicating work products for members of your own, and nearby, communities.

6. S010Y/Shopping Presentation – Slide #5 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: Who Is the Audience, And What Is Covered? 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 2008” language of quantitative methods … introduces the basic concepts and language of quantitative methods Statistical Significance Hypothesis Test Descriptive Statistic Variable Regression Analysis  2 statistic Population Sample Bivariate Relationship p-value

7. S010Y/Shopping Presentation – Slide #6 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class: To Succeed In The Module, You Must … Attend, and Participate in, All Classes:  Digitized video of each class is available on the module website for review. Use the Computer To Conduct Statistical Analysis:  Program your analyses with the PC-SAS software. Complete required Data-Analytic Memoranda:  Consists of structured data-analysis and written interpretation.  Collaborate with a partner.  Weekly or bi-weekly, total of two memos. Complete required Research-Design Memoranda:  Readings on research design, critically apply to published study.  Collaborate with a team.  Weekly or bi-weekly, total of three memos. Complete the required Final Examination:  Covers all the course content, including readings.  Work alone, take-home, open-book, time-limited (2 days).  Based on professor-supplied “evidentiary materials.” Attend, and Participate in, All Classes:  Digitized video of each class is available on the module website for review. Use the Computer To Conduct Statistical Analysis:  Program your analyses with the PC-SAS software. Complete required Data-Analytic Memoranda:  Consists of structured data-analysis and written interpretation.  Collaborate with a partner.  Weekly or bi-weekly, total of two memos. Complete required Research-Design Memoranda:  Readings on research design, critically apply to published study.  Collaborate with a team.  Weekly or bi-weekly, total of three memos. Complete the required Final Examination:  Covers all the course content, including readings.  Work alone, take-home, open-book, time-limited (2 days).  Based on professor-supplied “evidentiary materials.” Attend all classes, be alert, and participate fully … More details can be found in the “Frequently Asked Questions” and “Topic and Assignment Schedule” handouts on the module website.

8. S010Y/Shopping Presentation – Slide #7 © Willett, Harvard University Graduate School of Education S010Y: Answering Questions With Quantitative Data Shopping Class : Before the Module Begins, You Should … Petition Out of the module, if you have equivalent prior experience, and make progress elsewhere:  Email me to initiate the petitioning process. Otherwise, Register for the module:  Entering HGSE doctoral students only.  If you think you may be able to petition out of the module and move ahead, speak with me privately. Obtain a functioning Harvard PIN and Password. Confirm that you have working HGSE Computer Access:  Do you know how to use the email system?  Can you access the S-010Y website?  Can you use word processing software?  Can you use spreadsheet software? Check out the S-010Y Website: S-010Y WebsiteS-010Y Website  At some point over the next two months: Print out Module Content, FAQ’s and Schedule. Read them over carefully, they are our learning contract.  One day before the 1 st class: Check the website for Course Announcements. Print out Class Handouts for the 1 st class, & skim them before class. Petition Out of the module, if you have equivalent prior experience, and make progress elsewhere:  Email me to initiate the petitioning process. Otherwise, Register for the module:  Entering HGSE doctoral students only.  If you think you may be able to petition out of the module and move ahead, speak with me privately. Obtain a functioning Harvard PIN and Password. Confirm that you have working HGSE Computer Access:  Do you know how to use the email system?  Can you access the S-010Y website?  Can you use word processing software?  Can you use spreadsheet software? Check out the S-010Y Website: S-010Y WebsiteS-010Y Website  At some point over the next two months: Print out Module Content, FAQ’s and Schedule. Read them over carefully, they are our learning contract.  One day before the 1 st class: Check the website for Course Announcements. Print out Class Handouts for the 1 st class, & skim them before class. For details, see Objectives & Content, Frequently Asked Questions, and Topic/Assignment Schedule on the course website. Do something interesting & useful …