Week 4 Quantatative

Question 1

SUS Scale

Answer 1

System Usability Scale

1. I think that I would like to use this system frequently.
2. I found the system unnecessarily complex.
3. I thought the system was easy to use.
4. I think that I would need the support of a technical person to be able to use this system.
5. I found the various functions in this system were well integrated.
6. I thought there was too much inconsistency in this system.
7. I would imagine that most people would learn to use this system very quickly.
8. I found the system very cumbersome to use.
9. I felt very confident using the system.
10. I needed to learn a lot of things before I could get going with this system.

Question 2

Research Question (Quantitative)

Answer 2

Examples
* How effective is this user interface?
* Which of these two designs is better?
* Are users satisfied with the system?
* Did users’ performance improve over time?
* etc.

Question 3

(Quantitative)Define Measures

Answer 3

How are you measuring what you’re interested in?
* Effectiveness
* Efficiency
* Usability
* Satisfaction
* Improvement in perception
* Improvement in performance

Question 4

Pre-process data:

Answer 4

Filtering out useless data
* be extremely careful, use manual checks and
* other sanity checks on any manipulations

Question 5

(Quantitative) What to Do with Data? (Analysis)

Answer 5

Describe it
* Allows reasoning about implications of results
* Allows others to compare with their data
* Caution: are you describing the relevant details?
Compare it
* With control or other experimental conditions
* Caution: are these really comparable?
Interpret it
* Is it plausible? Why did it turn out this way?
* Caution: do you really know?
* Future work?

Question 6

Descriptive Statistics

Answer 6

Mean
* add up values and divide by number of data points
Median
* middle value of data when ranked
Mode
* value that appears most often in the data
Standard deviation
spread of the data
SD close to zero → data clustered very close to the mean
SD large → data spread over wide range of values

Question 7

Descriptive Graphs

Answer 7

Histograms: how are the results distributed?
Boxplots: how do multiple distributions compare?
Bar graphs: how do different
categories compare?
Scatterplots: how are two
variables related?
* Line graphs: how did this data change over time?
* continuous data
* Heatmaps: identify clusters of data points (volume of
locations)