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Linda S. Gottfredson

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Creativity on the Brain (and its psychometrics) Linda S. Gottfredson University of Delaware Newark, DE Discussion of Rex E. Jung s presentation, Neuroimaging of ... – PowerPoint PPT presentation

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Title: Linda S. Gottfredson


1
Creativity on the Brain(and its psychometrics)
  • Linda S. Gottfredson
  • University of Delaware
  • Newark, DE

Discussion of Rex E. Jungs presentation,
Neuroimaging of Creativity and Intelligence
New Voices in Creativity and Intelligence
Conference University of Kansas Lawrence, KS,
November 2, 2009
2
Exciting interdisciplinary research
  • Big advances, quickly
  • More imaging methods
  • Lower cost
  • Larger samples
  • More collaboration
  • More theory testing
  • More psychometric traits
  • Etc.

3
Psychometric (Interpretive) Challenges
  • Construct validity
  • IQ score
  • g theoretical construct
  • Restriction in range
  • Reliability of measurement
  • Sampling error

Treating scores as constructs badly muddled
intelligence debates

3 statistical artifacts misled personnel
selection psychology for many decades
Your assessment of your fields needs? Questions
of experts here today?
4
  • Constructs vs. Measurements

Construct (empirical phenomenon) Measurement (score)
Intelligence ggeneral proficiency at learning, reasoning (catching on) IQ score
Creativity ? ?
5
Hierarchical model of cognitive abilitiesThe
empirical relatedness of differences across
individuals
(factor analyses of scores)
Where is intelligence? Its just a label that
can be applied to different layers of traits
inor outsidethe hierarchical model
g
  • MOST GENERAL
  • Domain general
  • More heritable
  • Psychometrically unitary
  • Physiologically distributed

V
Q
S
M
Others
NARROW
Specific variance, unrelated to g
6
Hierarchical model of cognitive abilitiesThe
empirical relatedness of differences across
individuals
(factor analyses of scores)
g
  • MOST GENERAL
  • Domain general
  • More heritable
  • Psychometrically unitary
  • Physiologically distributed

IQ
Family of Constructs
V
Q
S
M
Others
NARROW
Specific variance, unrelated to g
7
A closer look at constructs vs. measures
Constructs
8
An often misunderstood point
Constructs
g is core ingredient of all more specific
abilities
9
Scores ? Constructs
Constructs
Test Scores
FSIQ
WMI
PSI
PRI
VCI
si
bd
ds
cd
vo
ss
pc
ln
mr
co
g is core ingredient of all more specific
abilities
10
Note IQ is just sum of scores, not of constructs
Constructs
Test Scores
FSIQ
WMI
PSI
PRI
VCI
si
bd
ds
cd
vo
ss
pc
ln
mr
co
g is core ingredient of all more specific
abilities
IQ is sum of subtest scores
11
IQ (score) is a good estimate of g (construct)
Constructs
Test Scores
FSIQ
WMI
PSI
PRI
VCI
si
bd
ds
cd
vo
ss
pc
ln
mr
co
g is core ingredient of all more specific
abilities
IQ is sum of subtest scores
12
Took 100 years to get here. Lots of conceptual
development
Constructs
Test Scores
FSIQ
WMI
PSI
PRI
VCI
si
bd
ds
cd
vo
ss
pc
ln
mr
co
g is core ingredient of all more specific
abilities
IQ is sum of subtest scores
13
IQ scores differ in tilt precision
Jung Haier (2007) note a serious theoretical
problem IQ scores in (imaging) studies often
not measuring same construct(s)
Constructs
Test Scores
Different studies use different intelligence
tests.
FSIQ
?
?
WMI
PSI
PRI
VCI
si
bd
ds
cd
vo
ss
pc
ln
mr
co
g is core ingredient of all more specific
abilities
IQ is sum of subtest scores
14
So, not same processes tapped
g
g, if battery broad
Gv
Gv, if battery has mostly verbal tests
15
We Need Parallel Conceptual Effort for Creativity
Constructs??
Test Scores
CIQ
Jungs example today
Cartoons
MUT
GMT
CAQ
RAT
  • What is the structure?
  • Is there a single c?
  • Domain coverage?
  • Common factors?

16
Intersection of 2 domains?
Often used to measure creativity
17
Artifact 1
  • Restriction in Range in Scores
  • (whole range not sampled)

18
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19
Restricted
20
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21
100
22
Mean IQs by occupation level years education
WAIS-R IQ (mean 1 SD), US adults ages 16-74
Occupation
Professional Tech
Manager, Cler, Sales
Imaging Sample 1
Skilled
Semiskilled
Mean 1 SD
Mean 1 SD
range
Unskilled
Years education
16
13-15
Openness Sample
12
9-11
Mean 1 SD
8
0-7
70 75 80 85 90 95 100
105 110 115 120 125 130
ile 2 5 10 15
25 37 50 63 75
85 90 95 98
IQ
22
22
23
The missing top third
Mean 1 SD
140 150 160
170 180
24
What kind of creativity?
Divergent thinking
Mean 1 SD
140 150 160
170 180
Cultural-level creativity
Cox estimates
Haydn
Mozart
Beethoven
Jackson
JQ Adams
Jefferson
Lincoln
Madison
Grant
Washington
25
Artifact 2
  • Reliability of Measurement

26
Reliability of Creativity Measures?
  • Subjective ratings (self vs. other)

27
Reliability of Brain Measurements?
  • Lower reliability will lower correlations.
  • Differential reliability will change patterns of
    correlations.

28
Artifact 3
  • Sampling Error
  • (chance errors in reflecting full population)

29
Small samples Big confusion
  • Small sample Ns
  • large confidence intervals (CI)
  • Different sample sizes
  • different confidence intervals
  • Leads to
  • Unstable parameter estimates
  • Unstable patterns of significance

30
All 3 Artifacts Chaos
  • Small sample Ns
  • plus
  • Unreliability
  • plus
  • Restriction in range
  • equals
  • Complex pattern of results
  • Specificity theories

False inferences!!
Point? Knowing amount type of artifacts helps
unmuddy the picture, as it did in personnel
selection psychology. Clockwork-like patterns
emerged.
31
Questions?
32
Thank you.
  • www.udel.edu/educ/gottfredson
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