Lauren Bricker
CSE 340 Spring 23
.apk
that you can load and test with.Events that are independent
Events that are dependent
Events that are independent
Events that are dependent
What are some dependent and indepenent relationships in the Menus study?
Think about a coin flip: one flip does not depend on another. What if we collect this kind of data, what might be true about it?
Called a correlation We can see it in a scatter plot Go look at data and make one
We can see it in a scatterplot
Active demo:
Data courtesy of Deepti Ramani from a CSE 163 assignment
Is there a correllation?
Older demo: tinyurl.com/cse340-22sp-ip-data
Select column B, then select Data->Create A Filter. Click on the newly shown green downward facing triangle, then select a month (like June 2020). This filters so that only the data from June 2020 is shown.
Create a Rank vs Views and Videos chart with this filtered data (columns E, G, I)
Select column B, then select Data->Create A Filter. Click on the newly shown green downward facing triangle, then select a month (like June 2020). This filters so that only the data from June 2020 is shown.
Create a Rank vs Views and Videos chart with this filtered data (columns E, G, I)
It might be helpful for this chart to use a log scale for the vertical axis. In the chart editor, select the Customize tab, then open up the Vertical Axis. Toggle the Log Scale checkbox.
Pivot Tables can help to sort out a lot of data. Example
Pivot Tables can help to sort out a lot of data. Example
Old data
What do you see in the difference between tasks on each of these menus types?
What do you see in the difference between tasks on each of these menus types?
Charting gives you a place to start, what questions you might want to ask.
Notes
Click on the Example Chart tab. Here you can
Demo
Do this for speed and error.
Bar charts are not enough to assess difference though. Need to see the distribution
A distribution is looking at how the people we are studying distributed over a specific variable we care about.
A histogram graphically shows a distribution.
Pivot table
Select Histogram
Old data
Normal | Pie |
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The cause of the difference only shows here.
What do we learn from a histogram?
Tests for difference between two samples
Best used to determine what is ‘worthy of a second look’
Limited in its applicability to normal, independent data
Does not help to document effect size [the actual difference between groups], just effect likelihood
The more implausible the hypothesis, the greater chance that it is a ‘false alarm’
Top row: Prior (what's known to be true before the experiment) bottom row: Calculated p-value
Notice the middle column, where something that is a toss-up has higher plausability than we would expect. This is a "Type 1 error"
Alternatively, a small sample may cause a Type II error (failure to detect a true difference) due to random sampling bias
The more implausible the hypothesis, the greater chance that it is a ‘false alarm’
18 separate comparisons (3x3 conditions, 2 measures)
ANOVA (Analysis Of Variance): Fancy t-test that accounts for the whole group effect before doing pairwise comparisons
Speed Results
Describe your thoughts about overall speed in different
conditions. Use at least one chart to illustrate what you say. Here is
an example chart generated using our data, when you paste your data
into the spreadsheet you’ll see that it updates to reflect your data
Error Results
Describe what happened in terms of errors -- provide at least one chart showing
what you learned about errors in different conditions
Speed Analysis
and Error Analysis
to describe Statistical Significance:Pie menus were twice as fast as normal menus
(M=.48s vs M=.83s), F(1,43)=295.891, p < .05.
Unclassified menu items were harder to find than linear and
relative ones (M=.84s, .59s, and .59s respectively), F(2,43)=93.778,
p < 0.5. We also found an interaction effect between menu and task
(as illustrated in the chart above), F(5, 43) = 51.945, p < .001.
Normal | Pie |
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We'd like to be able to argue the task/menu type influenced the speed and error results.
We'd like to be able to argue the task/menu type influenced the speed and error results.
This implies dependence between speed/error, task, and menu type
We'd like to be able to argue the task/menu type influenced the speed and error results.
This implies dependence between speed/error, task, and menu type
And it assumes you have measured the right variables!
Draw Conclusions
Describe your conclusions. Do you think we should use pie menus more? What can we conclude from your data?
Simulate real world environments
Simulate real world environments
.apk
that you can load and test with.Keyboard shortcuts
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