Transcript 11/28

Statistical power is…
Statistical power is…
…the probability of being able to
detect (through statistical significance
testing) an effect of a specified
magnitude.
Scenario
• Student 1: So how’s the big “D” going?
Scenario
• Student 1: So how’s the big “D” going?
• Student 2: I just ran the correlation between
my two measures. The correlation is .65,
but darn it, it’s not significant, and my
advisor tells me that I can’t get my degree
until I have significant results.
Scenario
• Student 1: So how’s the big “D” going?
• Student 2: I just ran the correlation between
my two measures. The correlation is .65,
but darn it, it’s not significant, and my
advisor tells me that I can’t get my degree
until I have significant results.
• Student 1: Bummer. You are a loser!
Scenario
• Student 1: So how’s the big “D” going?
• Student 2: I just ran the correlation between
my two measures. The correlation is .65,
but darn it, it’s not significant, and my
advisor tells me that I can’t get my degree
until I have significant results.
• Student 1: What was your sample size?
Scenario
• Student 1: So how’s the big “D” going?
• Student 2: I just ran the correlation between
my two measures. The correlation is .65,
but darn it, it’s not significant, and my
advisor tells me that I can’t get my degree
until I have significant results.
• Student 1: What was your sample size?
• Student 2: I had 8 subjects.
Scenario
• Student 1: So how’s the big “D” going?
• Student 2: I just ran the correlation between
my two measures. The correlation is .65,
but darn it, it’s not significant, and my
advisor tells me that I can’t get my degree
until I have significant results.
• Student 1: What was your sample size?
• Student 2: I had 8 subjects.
• Student 1: You miserable fool! …
 = d x f (N)
 = d (N-1) 1/2
 = ρ (N-1) 1/2
Graphical Data Displays and Interpretation
2010
November 10
John Tukey (1977), Exploratory Data Analysis.
Edward Tufte, The Visual Display of Quantitative Information.
John Tukey (1977), Exploratory Data Analysis.
Edward Tufte, The Visual Display of Quantitative Information.
Tufte Principles of Graphical Excellence
Graphical excellence is the well-designed presentation of
interesting data -- a matter of substance, of statistics, and of
design.
Graphical excellence consists of complex ideas communicated
with clarity, precision, and efficiency.
Graphical excellence is that which gives to the viewer the
greatest number of ideas in the shortest time with the least ink
in the smallest space.
Graphical excellence is nearly always multivariate.
Graphical excellence requires telling the truth about the data.
Figure 6
Reading Comprehension
“White space”
Age Equivalent Score
12
11
10
9
8
7
6
5
Program
4
3
0
1
2
3
4
GRADE
5
6
Bilingual
English-Only
Figure 2
English oral proficiency, reading and writing development
and redesignation probability from LEP to FEP as a function
of grade level. District A.
1.0
Mean Score, 1 = Criterion
0.9
0.8
0.7
0.6
0.5
0.4
0.3
Measure
0.2
0.1
0.0
0
1
2
3 4
GRADE
5
6
7
Redesignation
Writing
Reading
Oral English
Increased ELP growth
30
Graphical Excellence Award
deadline: NEXT MONDAY
• Find an example of graphical excellence
that tells a story in a simple, elegant
manner.
• Or… find a real dog of an example from
which we can learn what not to do.