mx agcrprod
DESCRIPTION
Test for BbTRANSCRIPT
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Aging and Creative Productivity
Is There an Age Decrement or Not?
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Brief history: Antiquity of topic
■ Quételet (1835)■ Beard (1874)■ Lehman (1953)■ Dennis (1966)■ Simonton (1975, 1988, 1997, 2000,
2004)
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Central findings: The typical age curve
Described by fitting an equation derived from a combinatorial model of the
creative process
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Henri Poincaré (1921):Ideas rose in crowds; I felt them collideuntil pairs interlocked, so to speak,making a stable combination.
[These ideas are like] the hooked atomsof Epicurus [that collide] like themolecules of gas in the kinematic theoryof gases [so that] their mutual impactsmay produce new combinations.
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p (t) = c (e – at – e – bt)where p (t) is productivity at career age t (in years),
e is the exponential constant (~ 2.718),
a the typical ideation rate for the domain (0 < a < 1),
b the typical elaboration rate for the domain (0 < b < 1),
c = abm/(b – a), where m is the individual’s creative potential (i.e. maximum number of publications in indefinite lifetime).
[N.B.: If a = b, then p (t) = a2mte – at]
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0 20 40 60Career Age
0.0
0.5
1.0
1.5
2.0P
rodu
ctiv
ity
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Central findings: The typical age curve
■ Rapid ascent (decelerating)
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0 20 40 60Career Age
0.0
0.5
1.0
1.5
2.0P
rodu
ctiv
ity
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Central findings: The typical age curve
■ Rapid ascent (decelerating)■ Single peak
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0 20 40 60Career Age
0.0
0.5
1.0
1.5
2.0P
rodu
ctiv
ity
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Central findings: The typical age curve
■ Rapid ascent (decelerating)■ Single peak■ Gradual decline (asymptotic)
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0 20 40 60Career Age
0.0
0.5
1.0
1.5
2.0P
rodu
ctiv
ity
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With correlations with published data between .95 and .99.
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Criticisms of findings:Is the age decrement real?
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Criticisms of findings:Is the age decrement real?
■ Quality but not quantity?
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Criticisms of findings:Is the age decrement real?
■ Quality but not quantity?– But high correlation between two
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Criticisms of findings:Is the age decrement real?
■ Quality but not quantity?■ Differential competition?
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Criticisms of findings:Is the age decrement real?
■ Quality but not quantity?■ Differential competition?
– But survives statistical controls
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Criticisms of findings:Is the age decrement real?
■ Quality but not quantity?■ Differential competition? ■ Aggregation error?
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Criticisms of findings:Is the age decrement real?
■ Quality but not quantity?■ Differential competition? ■ Aggregation error?
– But persists at individual level
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e.g., the career of Thomas Edison
CEdison (t) = 2595(e - .044t - e - .058t)
r = .74
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0 10 20 30 40 50 60 70 80Career Age
0
100
200
300
400
500P
aten
ts
Predicted CountObserved Count
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However ...
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Complicating considerations
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Complicating considerations
■ Individual differences
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Complicating considerations
■ Individual differences– Creative potential (m in model)
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1 2 3 4 5 6 7 8 9 10 11 12
Decile
0.0
0.1
0.2
0.3
0.4
0.5
Pro
po
rtio
n
PsychologyChemistryInfantile ParalysisGeologyGerontology/Geriatrics
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In fact, 1) cross-sectional variation always appreciably greater than longitudinal variation2) the lower an individual’s productivity the more random the longitudinal distribution becomes
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Complicating considerations
■ Individual differences– Creative potential– Age at career onset (i.e., chronological age
at t = 0 in model)
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Hence, arises a two-dimensional typology of career trajectories
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2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
High Creative Early Bloomers Low Creative Early Bloomers
High Creative Late Bloomers Low Creative Late Bloomers
f b l
f b l
f b l
f b l
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Complicating considerations
■ Individual differences■ Quantity-quality relation
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Complicating considerations
■ Individual differences■ Quantity-quality relation
– The equal-odds rule
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Complicating considerations
■ Individual differences■ Quantity-quality relation
– The equal-odds rule
– Career landmarks
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Complicating considerations
■ Individual differences■ Quantity-quality relation
– The equal-odds rule
– Career landmarks: • First major contribution (f)
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2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
High Creative Early Bloomers Low Creative Early Bloomers
High Creative Late Bloomers Low Creative Late Bloomers
f b l
f b l
f b l
f b l
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Complicating considerations
■ Individual differences■ Quantity-quality relation
– The equal-odds rule
– Career landmarks: • First major contribution (f)• Single best contribution (b)
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2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
High Creative Early Bloomers Low Creative Early Bloomers
High Creative Late Bloomers Low Creative Late Bloomers
f b l
f b l
f b l
f b l
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Complicating considerations
■ Individual differences■ Quantity-quality relation
– The equal-odds rule
– Career landmarks: • First major contribution (f)• Single best contribution (b)
• Last major contribution(l)
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2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
2030405060708090Chronological Age
0
1
2
3
4
5
Cre
ativ
e Pr
oduc
tivity
High Creative Early Bloomers Low Creative Early Bloomers
High Creative Late Bloomers Low Creative Late Bloomers
f b l
f b l
f b l
f b l
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Journalist Alexander Woolcott reporting on G. B. Shaw:
“At 83 Shaw’s mind was perhaps not quite as good as it used to be.
It was still better than anyone else’s.”
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts (a and b in
model)
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts
– Differential decrements (0-100%)
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10 20 30 40 50 60 70 80Age Decade
0
10
20
30P
erce
nt o
f Tot
al L
ifetim
e O
utpu
t
ARTISTSSCIENTISTSSCHOLARS
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts
– Differential peaks and decrements – Differential landmark placements
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Astronomy
Biology
Chemistry
Geoscience
Mathematics
Medicine
Physics
Technology
DISCIPLINE
20
30
40
50
60
Chr
ono
logi
cal A
ge
Last Major ContributionBest ContributionFirst Major Contribution
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts ■ Impact of extraneous factors
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts ■ Impact of extraneous factors
– Negative influences
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts ■ Impact of extraneous factors
– Negative influences: e.g., war
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts ■ Impact of extraneous factors
– Negative influences– Positive influences
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts ■ Impact of extraneous factors
– Negative influences – Positive influences: e.g.,
• disciplinary networks
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Complicating considerations
■ Individual differences■ Quantity-quality relation■ Inter-domain contrasts ■ Impact of extraneous factors
– Negative influences – Positive influences: e.g.,
• disciplinary networks
• cross-fertilization
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Hence, the creative productivity within any given career will show major departures from expectation, some positive and some negative
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Three Main Conclusions
■ Age decrement a highly predictable phenomenon at the aggregate level
■ Age decrement far more unpredictable at the individual level
■ Age decrement probably less due to aging per se than to other factors both intrinsic and extrinsic to the creative process
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Hence, the possibility of late-life creative productivity increments;
e.g., Michel-Eugène Chevreul
(1786-1889)
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References
■ Simonton, D. K. (1984). Creative productivity and age: A mathematical model based on a two-step cognitive process. Developmental Review, 4, 77-111.
■ Simonton, D. K. (1989). Age and creative productivity: Nonlinear estimation of an information-processing model. International Journal of Aging and Human Development, 29, 23-37.
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References
■ Simonton, D. K. (1991). Career landmarks in science: Individual differences and interdisciplinary contrasts. Developmental Psychology, 27, 119-130.
■ Simonton, D. K. (1997). Creative productivity: A predictive and explanatory model of career trajectories and landmarks. Psychological Review, 104, 66-89.
■ Simonton, D. K. (2004). Creativity in science: Chance, logic, genius, and zeitgeist. Cambridge, England: Cambridge University Press.
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