Empirical Treasure, Lost and Found

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Empirical Treasure, Lost and Found Linda S. Gottfredson University of Delaware, USA International Society for Intelligence Research Melbourne, Australia December 12, 2013 12/12/2013 1

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Empirical Treasure, Lost and Found. Linda S. Gottfredson University of Delaware, USA International Society for Intelligence Research Melbourne, Australia December 12, 2013. Imagine. …that someone told you this. - PowerPoint PPT Presentation

Transcript of Empirical Treasure, Lost and Found

Page 1: Empirical Treasure, Lost and Found

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Empirical Treasure, Lost and Found

Linda S. GottfredsonUniversity of Delaware, USA

International Society for Intelligence ResearchMelbourne, Australia December 12, 2013

12/12/2013

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Imagine

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Miraculous?

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“If all 13-year-olds took the same 15-minute test (WASI), I could give you each child’s odds for all these adult outcomes without knowing anything else about them.”

– Drops out of high school, – Holds mostly unskilled jobs, skilled jobs vs. professional jobs– Performs those jobs well– Lives in poverty

AND– Can find a particular intersection on a map, or grams of carbohydrate per serving on a food label– Adheres to a medical treatment regimen for diabetes or other chronic illness– Dies prematurely

…that someone told you this.

Would you bet against this odds-maker? Don’t!

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Actual landscape of odds, by outcome and IQ*

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LowBelow

AverageAbove

High

0.00

0.50

1.00

1.50

2.00

2.50

3.00

High school dropoutLives in poverty

Uses food stampsWorks as professional/manager

Employed fulltime

Ability level

Outcomes

Odds(yes/no)

* Source of data: Gottfredson, 1997, p.118 (young adults) and p.116 (all adults)

50:50

Sample

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Now imagine

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…that this person also claims that:

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“With just one more piece of information, I can tell you how to improve the worst odds—without changing IQ and without leveling social resources.

AND

It would save thousands if not millions of lives, and millions if not billions of health care dollars.”

Miraculous? Credible??Yes, and g is the key!

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Lost treasure of g—a personal accountChronology

Today—g 30 years after rediscovery Yesterday—Dark Ages before rediscovery Tomorrow—Vast opportunities ahead

Unexpected lessons Complexity of everyday life Power of “inconsequential” effects

A story to remember

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g: 30 Years of Discovery

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

(See notes for slide)

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

(See notes for slide)

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

(See notes for slide)

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

(See notes for slide)

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

(See notes for slide)

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

(See notes for slide)

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

(See notes for slide)

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

(See notes for slide)

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

gg rediscovered

Nomological network

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Human variation in g: Extraordinary phenomenon

• Recurring • Species-wide• General-use capacity• Shapes human institutions• Drives its own evolution

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g

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Dark Ages Before Rediscovery

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Life outcomes

Evolution

Genes

Brain

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g lost by 1970s

Performance

Social structure

Traits

IQ

XX

X

when I entered grad school

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My 30 years, pre-PhD

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ThemesExplore, collect & classify Chase puzzles Feet on the ground Man from Mars

Penang Malaysia

19471977

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Life outcomes

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Social structure

Social inequality

1970sSociology• Difference=

inequality• Inequality is

neither natural nor moral

Social class hierarchy

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Social inequality

1970sSocial privilege is…

…socially reproduced

Social class hierarchy

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Social inequality

Performance

1970sSocial privilege is…

…socially reproduced

…socially inherited

Social class hierarchy

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1970sSocial privilege is…

Performance

…socially reproduced

…socially inherited

Manufactured differences

IQaspirations

…disguised as “merit”

Social class hierarchy

Social inequality

“everyone can do any job”

“doctors should work up from orderly”

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Sound eerily familiar?In USA: • Law—“No Child Left Behind” • Too-good-to-be-true science—“several weeks of N-

back training raised intelligence”

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Needed: Shift in Focus

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Knowing g by what brings it forth—task complexity

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My alternative explanation:* Higher intelligence has functional value

Required me to study attributes of jobs and tasks, not just people.

Specifically--What in a job requires the exercise of g?

What makes some more “g loaded” than others?

12/12/2013*Alternative to social privilege theory

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Key finding #1: Occupational hierarchy is cognitive

• Same worldwide• Mean worker IQs track jobs’ cognitive complexity • Job complexity hierarchy evolved as work tasks clustered (into occupations) by g loading to fit human variation in g

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Correlation with factor

Learn and recall relevant information Reason and make judgments Deal with unexpected situations Identify problem situations quickly React swiftly when unexpected problems occur Apply common sense to solve problems Learn new procedures quickly Be alert & quick to understand things *Job analysis by Arvey (1986)

.75 .71.69 .69

.67

.66

.66

.55

Key finding #2: “Judgment & Reasoning Factor” among jobs* Complexity factor among jobs is mirror image of g factor among people

Workers must:

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Life outcomes

Social structure

Traits

Performance

Tasks

g

+

So, g loading is the flip side of g

g loadings

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Key finding #3: The Complexity Dynamic

• Tasks that are more complex– put a bigger premium on learning-reasoning

ability– lead to bigger differences in task performance

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Gaps

Gains

AA B

B

A BMore complex

task

Performance level

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But how could a general intelligence ever evolve?

What adaptive challenges could possibly have been so general, so non-specific, to evolve such a content-free, domain-general ability??

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Life outcomes

Social structureEvolution

Genes

Brain

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Performance

Traits

g

Tasksinnovation

New

haz

ards

Key finding #4: Power of cumulating

“inconsequential” effects

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

g

Task complexity

Key finding #5: Life’s complexity turns the

wheel of g

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Complexity of everyday life, today

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Typical life outcomes along IQ continuum

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LowBelow

AverageAbove

High

0.00

0.50

1.00

1.50

2.00

2.50

3.00

High school dropoutLives in poverty

Uses food stampsWorks as professional/manager

Employed fulltime

Ability level

Outcomes

Odds(yes/no)

* Source of data: Gottfredson, 1997, p.118 (young adults) and p.116 (all adults)

50:50

Sample

Landscape of cognitive error on everyday tasks*

Recall this

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Examples of everyday tasks*

*Items on 1993 National Adult Literacy Survey (NALS)

Level 1Level 2

Level 3Level 4

Level 5Your child is 11 years old and weighs 85 pounds. How

many 80 mg tablets can you give in 24-hr period?

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Column1 1200 20

0

20

40

60

80

100

3

121

54

Ability level

Error rate (%)

2 3 4 5

Landscape of cognitive error on everyday tasks*

*Source of data: National Adult Literacy Survey (NALS), ages 16-65., Kirsch et al. (1993)12/12/2013

Difficulty level (sample literacy tasks)

Interpret brief phrase in long article Calculate discount on bill paid early Write letter explaining error in bill Total the costs on order form Find meeting time on form

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Column1 1200 20

0

20

40

60

80

100

12

34

5 (highest)

Taskcomplexity

3

121

54

Ability level

Error rate (%)

2 3 4 5

Cognitive risk

Cognitive burden

Cognitive resources

23% 28% 31% 15% 3% % of adults:

*Source of data: National Adult Literacy Survey (NALS), ages 16-65., Kirsch et al. (1993)12/12/2013

47% 33% 16% 4% ~0% % of adults ages 60+:

Landscape of cognitive error on everyday tasks*

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Opportunities—An Example

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Current (g-blind) “solutions” to challenges in health care

• Political: race-class disparities in health– Equalize access to care [it actually increases disparities]– Teach health providers to be more culturally sensitive – Redistribute wealth to keep social disadvantage from “getting

under the skin”

• Practical: patient non-adherence to treatment– Give patients more information

“Déjà vu all over again”12/12/2013

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Current projectIncrease cognitive accessibility of DSM*

• Analyze the “job” of diabetes• Focus on most critical tasks• Target instruction to ability level• Feedback & follow-up

12/12/2013 *DSM = diabetes self-management

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Human face of diabetes self-management

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Job analyst’s view: The patient’s job description

• Learn about diabetes in general (At “entry’)– Physiological process– Interdependence of diet, exercise, meds– Symptoms & corrective action– Consequences of poor control

• Apply knowledge to own case (Daily, Hourly)– Implement appropriate regimen – Continuously monitor physical signs – Diagnose problems in timely manner– Adjust food, exercise, meds in timely and appropriate manner

• Coordinate with relevant parties (Frequently)– Negotiate changes in activities with family, friends, job – Enlist/capitalize on social support– Communicate status and needs to practitioners

• Update knowledge & adjust regimen (Occasionally)– When other chronic conditions or disabilities develop– When new treatments are ordered– When life circumstances change

• Conditions of work—24/7, no days off, no retirement

Self-management

Training

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Good performance requires good judgment

IT IS NOT mechanically following a recipe IT IS keeping a complex system under control in often unpredictable circumstances

(like accident prevention process) Coordinate a regimen having multiple interacting elements Adjust parts as needed to maintain good control of system buffeted by many other factors Anticipate lag time between (in)action and system response Monitor advance “hidden” indicators (blood glucose) to prevent system veering badly out

of control Decide appropriate type and timing of corrective action if system veering off-track Monitor/control other shocks to system (infection, emotional stress) Coordinate regimen with other daily activities Plan ahead (meals, meds, etc.)

For the expected For the unexpected and unpredictable

Prioritize conflicting demands on time and behavior

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Occupational hierarchy

• Cognitive complexity

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Diabetes?

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Sample guidance today

“Adjust insulin dose for number of carbohydrates in meal”

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Knowledge & mental calculations required??

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•One piece of info •Simple match•But lots of irrelevant info Caution!

Can train people to do this task, butnot all possible tasks like it

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Task #1—Underline sentence saying how often to give medicineSample health literacy item—how simple?

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Task #1—Underline sentence saying how often to give medicine

NALS levels 1 2 3 4 5LITERACY SCORES: 100 200 250 300 350 400 500

Mean = 272

•One piece of info •Simple match•But lots of irrelevant info

#1239

Not so simple for many people…

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Column1 1200 20

0

20

40

60

80

100

12

34

5 (highest)

Taskcomplexity

3

121

54

Ability level

Error rate (%)

2 3 4 5

Cognitive risk

Cognitive burden

Cognitive resources

23% 28% 31% 15% 3% % of adults:

*Source of data: National Adult Literacy Survey (NALS), ages 16-65., Kirsch et al. (1993)12/12/2013

47% 33% 16% 4% ~0% % of adults ages 60+:

Need an epidemiology of patient error

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Column1 1200 20

0

20

40

60

80

100

12

34

5 (highest)

Taskcomplexity

3

121

54

Ability level

Error rate (%)

2 3 4 5

Cognitive risk

Cognitive burden

Cognitive resources

*Source of data: National Adult Literacy Survey (NALS), ages 16-65., Kirsch et al. (1993)12/12/2013

Change the job (not person) strategies

Reduce/limitSupplement

when critical tasks complex

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Stories of Synergy in Research on g

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Synergy – Interaction of parts has bigger

effect than the sum of parts

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Example: 1986

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Created synergy

• Panel of illustrious authors

• Peer-reviewed journal

• Mailed 6000 copies to top researchers

Instant impact

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“It is the position of AAIDD that intellectual functioning (as defined [by Mainstream

Science on Intelligence, 1997]) is best conceptualized

and captured by a general factor of intelligence, g” (p.

34).

AAIDD* Manual, 11th ed., 2010

Example: 1997

*AAIDD = Amer. Assoc. of Intellectual & Developmental Disabilities

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

g

Nomological network grows

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Performance

Life outcomes

Social structureEvolution

Genes

Brain

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Traits

g

Many others

ISIRShoulders I’ve stood on

Robert Plomin

Thomas Bouchard, Jr.

Douglas Detterman

Arthur Jensen

Richard HaierDavid Lubinski

Julian Stanley

Rosalind Arden

Lloyd Humphreys

Robert Gordon

John Carroll

Frank Schmidt

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To our young members

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Go find some good shoulders to stand on!

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Thank you.

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