S052/Shopping Presentation – Slide #1 © Willett, Harvard University Graduate School of Education S052: Applied Data Analysis Shopping Presentation: Six

S052/Shopping Presentation – Slide #1© Willett, Harvard University Graduate School of Education

S052: Applied Data AnalysisShopping Presentation: Six Easy Pieces

S052: Applied Data AnalysisShopping Presentation: Six Easy Pieces

Technology?Technology?

Mission … should you decide to accept it?Mission … should you decide to accept it?

Things to make and do,before class begins?Things to make and do,before class begins?

Work required of you?Work required of you?

Audience?Audience?

Topics covered?Topics covered?

S-052Applied Data Analysis

S-052Applied Data Analysis

Mission … should you decide to accept it?Mission … should you decide to accept it?

Things to make and do,before class begins?Things to make and do,before class begins?

Technology?Technology?

Work required of you?Work required of you?

Audience?Audience?

Topics covered?Topics covered?


For insight into the the antithesisantithesis of the course mission of the course mission, ask yourself ...What do these two well-known poems have

in common?

For insight into the the antithesisantithesis of the course mission of the course mission, ask yourself ...What do these two well-known poems have

in common?

S052: Applied Data AnalysisShopping Session: Mission, Should You Decide to Accept It?

S052: Applied Data AnalysisShopping Session: Mission, Should You Decide to Accept It?

Alums of S-052 must swear on a Table of 2-Statistics, during the course Potato Sacrament, that they will avoid the Data-Analysis of Deliberate Obscurity, at all costs

Alums of S-052 must swear on a Table of 2-Statistics, during the course Potato Sacrament, that they will avoid the Data-Analysis of Deliberate Obscurity, at all costs

The scientists are in terrorand the European mind stops

Wyndham Lewis taking blindnessrather than have his mind stop

Night under wind mid garofanithe petals are almost still.

Ezra Pound, 19??from Canto CXV

The scientists are in terrorand the European mind stops

Wyndham Lewis taking blindnessrather than have his mind stop

Night under wind mid garofanithe petals are almost still.

Ezra Pound, 19??from Canto CXV

The multivariate test of differenceswas statistically significant

The variables that loaded most heavilyon the first canonical discriminant functionwere GHb and HMBG

Between-group structure coefficientswere .95 and .91 respectively.

Author’s name withheld, 1990from American Educational Research Journal, 27(3)

The multivariate test of differenceswas statistically significant

The variables that loaded most heavilyon the first canonical discriminant functionwere GHb and HMBG

Between-group structure coefficientswere .95 and .91 respectively.

Author’s name withheld, 1990from American Educational Research Journal, 27(3)


S052: Applied Data AnalysisShopping Session: How Is the Mission Achieved?

S052: Applied Data AnalysisShopping Session: How Is the Mission Achieved?

Learn new skills activelyLearn new skills actively: Learn by “doing,” acquire skills by applying new methods

to real data in order to address real questions. Learn as part of an active community whose members have

differing levels of expertise, who model and display responsible behavior, and who offer mutual feedback and support.

Focus on what humans do bestFocus on what humans do best: Plan data-analyses to address research questions

appropriately and explicitly. Guide the computer through the legwork, making sure it

completes the work correctly. Check that the constraints under which the work must be

conducted have been met. Parse, interpret and communicate the products for

members of your own, and neighboring, communities.

Learn new skills activelyLearn new skills actively: Learn by “doing,” acquire skills by applying new methods

to real data in order to address real questions. Learn as part of an active community whose members have

differing levels of expertise, who model and display responsible behavior, and who offer mutual feedback and support.

Focus on what humans do bestFocus on what humans do best: Plan data-analyses to address research questions

appropriately and explicitly. Guide the computer through the legwork, making sure it

completes the work correctly. Check that the constraints under which the work must be

conducted have been met. Parse, interpret and communicate the products for

members of your own, and neighboring, communities.

by “Cognitive Apprenticeship”by “Cognitive Apprenticeship”

More details can be found in the “Course Objectives & Content” handout, on the course website.More details can be found in the “Course Objectives & Content” handout, on the course website.


S052: Applied Data AnalysisShopping Session: Who Are the Audience?

S052: Applied Data AnalysisShopping Session: Who Are the Audience?

The audience is you!!!The audience is you!!!The good news is … that S-052 extends directly the work of S-030!!

The audience is you!!!The audience is you!!!The good news is … that S-052 extends directly the work of S-030!!

Welcome S030, Class of 2007!!

The bad news is thatThe bad news is that … …If you didn’t complete S-030 in preparation for S-052, then you must satisfy me that your preparation meets the “S-030 Standard.”

The key question is …The key question is …Do you have a “practical working knowledge of multiple regression analysis, including the use and interpretation of statistical interactions”?

Make sure that you …Make sure that you …Complete the cross-registrant biography sheet and return it to me, documenting your prior statistical training clearly.

The bad news is thatThe bad news is that … …If you didn’t complete S-030 in preparation for S-052, then you must satisfy me that your preparation meets the “S-030 Standard.”

The key question is …The key question is …Do you have a “practical working knowledge of multiple regression analysis, including the use and interpretation of statistical interactions”?

Make sure that you …Make sure that you …Complete the cross-registrant biography sheet and return it to me, documenting your prior statistical training clearly.

More details in the “Course Objectives& Content” handout, on the course website.More details in the “Course Objectives& Content” handout, on the course website.


S052: Applied Data AnalysisShopping Session: Topics Included in the Course Curriculum?

S052: Applied Data AnalysisShopping Session: Topics Included in the Course Curriculum?

More details can be found in the “Course Objectives and Content” handout on the course webpage.More details can be found in the “Course Objectives and Content” handout on the course webpage.

Multiple RegressionAnalysis (MRA)

Multiple RegressionAnalysis (MRA) iiii XXY 22110

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

(dichotomous 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?


S052: Applied Data AnalysisS052: Applied Data AnalysisShopping Session: What Work Is Required Of Registered Students?

S052: Applied Data AnalysisS052: Applied Data AnalysisShopping Session: What Work Is Required Of Registered Students?

Attend, and participate, in all classesAttend, and participate, in all classes: Digitized Video of each class available for review.

Complete all assigned preparatory reading in Complete all assigned preparatory reading in advance of classadvance of class:

Read the Class Handouts, especially pages flagged for close scrutiny.

Available on website, aheade of class.

Complete all assigned post-class readingsComplete all assigned post-class readings: Occasional appendices to Class Handouts. Occasional additional readings (website, Harvard PIN).

Complete all Data-Analytic Memoranda (DAMs)Complete all Data-Analytic Memoranda (DAMs): Seven DAMs over semester (see Schedule). Each contains structured data analysis w/ interpretation. Collaborate with a partner. Readings from required text embedded within each memo.

Complete final examinationComplete final examination: Covers all course content, including readings. Based on pre-supplied “evidentiary materials.” Individual effort, take-home, open-book, time-limited.

Attend, and participate, in all classesAttend, and participate, in all classes: Digitized Video of each class available for review.

Complete all assigned preparatory reading in Complete all assigned preparatory reading in advance of classadvance of class:

Read the Class Handouts, especially pages flagged for close scrutiny.

Available on website, aheade of class.

Complete all assigned post-class readingsComplete all assigned post-class readings: Occasional appendices to Class Handouts. Occasional additional readings (website, Harvard PIN).

Complete all Data-Analytic Memoranda (DAMs)Complete all Data-Analytic Memoranda (DAMs): Seven DAMs over semester (see Schedule). Each contains structured data analysis w/ interpretation. Collaborate with a partner. Readings from required text embedded within each memo.

Complete final examinationComplete final examination: Covers all course content, including readings. Based on pre-supplied “evidentiary materials.” Individual effort, take-home, open-book, time-limited.

More details can be found in the “Frequently Asked Questions” and the “Topic and Assignment Schedule” handoutson the course webpage.More details can be found in the “Frequently Asked Questions” and the “Topic and Assignment Schedule” handoutson the course webpage.

Attend, be alert and Attend, be alert and participate fully in every participate fully in every class ...class ...

Attend, be alert and Attend, be alert and participate fully in every participate fully in every class ...class ...


S052: Applied Data AnalysisShopping Session: Will We Make Use of Computers, Software & The Web?

S052: Applied Data AnalysisShopping Session: Will We Make Use of Computers, Software & The Web?

Important facts about using Information Technology in the course…

Important facts about using Information Technology in the course…

Course websiteCourse website contains: contains: All course materials, including curriculum and

schedule, frequently-asked questions, professor presentations, student handouts, etc.

Digitized Video of each class. All Data-Analytic Memos and the Final Examination. All Reference Materials & additional readings,

except for readings from the required text (you need Harvard PIN).

Useful Links to the WWW.

Data-analytic software used in the courseData-analytic software used in the course:: I assume that you are familiar with PC-SAS. Free on HGSE workstations (in LTC, around school). Can be licensed cheaply from Harvard. If you use your own system, you are responsible for

transferring the materials error-free and making sure appropriate statistical software is available.

Preferred method of communication in the course:Preferred method of communication in the course: Course eMailbag and Forums.

Course websiteCourse website contains: contains: All course materials, including curriculum and

schedule, frequently-asked questions, professor presentations, student handouts, etc.

Digitized Video of each class. All Data-Analytic Memos and the Final Examination. All Reference Materials & additional readings,

except for readings from the required text (you need Harvard PIN).

Useful Links to the WWW.

Data-analytic software used in the courseData-analytic software used in the course:: I assume that you are familiar with PC-SAS. Free on HGSE workstations (in LTC, around school). Can be licensed cheaply from Harvard. If you use your own system, you are responsible for

transferring the materials error-free and making sure appropriate statistical software is available.

Preferred method of communication in the course:Preferred method of communication in the course: Course eMailbag and Forums.

More details can be found in the “Frequently Asked Questions” handout on the course webpage.More details can be found in the “Frequently Asked Questions” handout on the course webpage.


S052: Applied Data AnalysisShopping Session: Things To Make And Do Before Class Begins?

S052: Applied Data AnalysisShopping Session: Things To Make And Do Before Class Begins?

Register for the course:Register for the course: No auditors allowed. I will sign cross-registrant forms for those who have completed

S-030 immediately; for others I will sign when I am satisfied you have met the requirements.

All cross-registrants should complete and submit the cross-registrants biography form, to me.

Get a functioning Harvard PIN and Password.Get a functioning Harvard PIN and Password.

Check you have functioning HGSE computer access:Check you have functioning HGSE computer access: Cross-registrants will automatically receive a computer account

once our registrar receives their registration.

Check out the Course Website:Check out the Course Website: Today:

• Print “Course Objectives and Content,” Frequently-Asked Questions,” & “Topic and Assignment Schedule” handouts.

• Read before the first class, they are our learning contract. 24 hours before the first class:

• Check course website for announcements about the Class Handouts you will need to print out & bring to 1st class.

• Print them out & read them over before coming to class.

Register for the course:Register for the course: No auditors allowed. I will sign cross-registrant forms for those who have completed

S-030 immediately; for others I will sign when I am satisfied you have met the requirements.

All cross-registrants should complete and submit the cross-registrants biography form, to me.

Get a functioning Harvard PIN and Password.Get a functioning Harvard PIN and Password.

Check you have functioning HGSE computer access:Check you have functioning HGSE computer access: Cross-registrants will automatically receive a computer account

once our registrar receives their registration.

Check out the Course Website:Check out the Course Website: Today:

• Print “Course Objectives and Content,” Frequently-Asked Questions,” & “Topic and Assignment Schedule” handouts.

• Read before the first class, they are our learning contract. 24 hours before the first class:

• Check course website for announcements about the Class Handouts you will need to print out & bring to 1st class.

• Print them out & read them over before coming to class.

Before classes start, please …Before classes start, please …

… do something exciting!!

Documents

S052/Shopping Presentation – Slide #1 © Willett, Harvard University Graduate School of Education S052: Applied Data Analysis Shopping Presentation: Six