
Lectures: (subject to change) 
Project
Timeline 
Assignments 
8/29 
Lecture1:
Introduction, course plan, why measure, testing process. Slides 


8/31 
Lecture
2: Methods: Posing a research question, developing the
hypothesis, operationalizing Variables. Slides,
more about this lecture 

Assignment
1: (5%) Develop Research Design (including survey) 
9/5 
Lecture
3: Methods: Research Design Overview. Survey Studies.
Slides more
about this lecture

Introduce
Survey Project (30%)Meet with Client, define problem 

9/7 
Lecture
4: Statistics: Basic statistics, Analysis of a histogram,
Mean, Median, Normal Probability Curve. Demo with Excel. Ethics
of Testing, How to write up a Human Subjects Protocol Slides
more about this lecture

Description
of Survey projects

Assignment
1 Due
(deadline extended to 7th) 
9/12 
Lecture
5: EXCEL LAB (in Computer Lab): Basic stats with Excel.
Using exploratory analysis, using functions, data analysis toolpack.more
about lecture including Human SUbjects Protocol

Survey: Generate questions, Pilot Test 

9/14 
Guest
Lecture 6: Yale
Braunstein, Conducting a Survey Study: From Design to Writing a Report
slides

Survey:
Submit Human Subjects Protocol


9/19 
Lecture
7 : Statistics: Correlations, Scatter plots & Introduction
to Regression. slides, more
about lecture

Groups
meet with me between 18th 19th to review survey questions. 

9/21 
Lecture
8: Statistics Hands on: Basic stats with SPSS, Exploratory
analysis.
BASICS OF SPSS LAB about
Lecture

Survey:
Start Pretest by 20th, sample size =15, analyze pretest data, make
changes 
Assignment
2: (10%) Basic Data Analysis with Excel & SPSS

9/26 
Lecture
9: Methods: All about Normal Distributions. Sampling Issues.
more about lecture, slides

Survey:Launch
final survey by 28th 
Assignment 2 Due

9/28 
Lecture
10: Statistics. Normal Distribution, Standard Scores,
Logic of hypothesis testing. Null and Alternative Hypothesis, Type
1 and Type 2 Errors. more about
lecture, slides

Survey:
Start Exploratory Data Analysis ASAP 
Assignment 3: Test 2 Subjects
for Product Advisor Study (5%)

10/3 
Lecture 11: SPSS LAB 2



10/5 
Lecture 12: Product Advisor Pretest



10/10 
Lecture
13: Statistics: ttests (One sample ttests, two sample
t tests, independent sample and paired sample t tests). more
about lecture slides



10/12 
Lecture
14: Review of ttests, and Introduction to ANOVA more
about lecture, slides, statistics
concept map 
Introduce
Final Projects (35%) 

10/17 
Lecture
15: All about CHI Square. more
about lecture. slides

Survey:
Data Analysis Report Due (Optional) 

10/19 
Lecture
16: COnfidence Intervals and MArgin of Error more
about lecture slides 


10/24 
Lecture
17: Introduction to Regression more
about lecture, slides

Survey
Project END: Report Due, Project Presentations 

10/26 
Lecture
18: Factorial ANOVA's more
about lecture, slides 


10/31 
Project Presentations 


11/2 
Lecture19:
The structure and format of usability tests.
COntunue with Lecture
18 slides: ANOVA, Multifactor Anova's, Repeated Measures, 2X2,
2X2X2 etc.
more
about lecture, slides,

Design Study
Identify IV, DV and controlled variables,
identify design


11/7 
Lecture
20 : ANOVA's continued. Different kinds of ANOVA. Effect
Size, Percentage of Variance. more
about lecture

Develop
Measures: questionnaires etc. 
Short Analysis Assignment 4 (5%)
ANOVA & ttests

11/9 
Lecture
21: 5 minute informal project proposal.
Wrapping up ANOVA's slides,
more about lecture

Pretest:34
subjects, analyze data, refine, test refinements on 12 subjects 

11/14 
Lecture
22: Information Architecture Analysis. Correlation, and
Factor Analysis, more about lecture,
slides 

Assignment 4 due

11/16 
Lecture
23: Statistics Review and Project Updates 
Start
Testing: number of subjects depends on individual study 
Short Analysis Assignment 5 (5%)
Correlation, Regression and Factor Analysis

11/21 
Thanksgiving
Holiday 


11/23 
Thanksgiving
Holiday 


11/28 
Lecture
24: Discriminant Analysis and Cluster ANalysis more
about lecture slides 
Start
Data Analysis 
Assignment
5 Due 
11/30 
Lecture
25: Card Sorting and Practising DIscriminant Analysis
CLuster Analysis more about lecture 


12/5 
Lecture
26: Methods and Statistics Review. more
about lecture, conceptmap, MethodsReview,
StatisticsReview 
Start
writing report 

12/7 
Lecture
27: Review continued, MDS & Troubleshooting Final Projects. 


12/12 
Student Project
Presentations 
Report
Due, Final Project END 

12/14 






