Intelligence
I. History of Intelligence Testing
A. Francis Galton (1822-1911)
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Assumed intelligence was sensory acuity: the more acute the senses, the
intelligent the person was
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Believed intelligence was inherited
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Promoted eugenics: selective breeding of human beings; thought govt. should
regulate breeding!
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Anthropometric Laboratory (1884)
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Interested in every individual difference in humans
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Measured 9,337 humans in 1884 in just about every way possible: head size,
arm span, finger length, weight, height, grip strength, breathing capacity,
visual acuity, reaction time to sounds, punch speed
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The acuity measures were taken as a measure of intelligence; the non-acuity
measures were taken out of interest for simple individual differences
B. James McKeen Cattell (1860-1944)
One of Wundt’s students
Coined “mental test”: similar to Galton’s sensory acuity tests
These mental/acuity tests were eventually discredited as intelligence tests:
they were not highly correlated with academic success in college
C. Alfred Binet (1857-1911)
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First to directly measure complex mental operations related to intelligence
instead of indirect measures via sensory acuity
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Supervised Theodore Simon’s doctoral research
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Both were commissioned to study the educational problems of mentally-retarded
children in French schools: they deemed it necessary to have a valid method
of distinguishing them from normal children
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Binet-Simon scale of intelligence
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1905 scale used to distinguish b/w normal and mentally retarded children;
1908 revision used to distinguish levels b/w normal children
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30-58 cognitive tests (e.g., repeating numbers): assigned mental age based
on # items correct
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Tests were ordered by average age of success on them: e.g., test #10 could
be solved by most 6-yr-olds; most 10-yr-olds could succeed on test #20…
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Chronological vs. Intellectual age
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Intellectual age: the age corresponding to the most difficult tests the
child could pass.
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IQ: Intelligence Quotient: William Stern made performance on the Binet-Simon
scale a ratio
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IQ = (mental age (MA)/chronological age (CA)) X 100
D. Stanford-Binet
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Lewis Terman at Stanford (1916) found that when the Simon-Binet scale was
taken by US children, results were uneven…average scores of children of
various ages were either higher or lower than chronological age of age
group being tested!
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Terman revised Binet-Simon scale for US culture so that the average score
of any sample of children was 100, no matter what their age.
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He also added the “x 100” in the IQ formula to get rid of the decimal point
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This US scale is still used to test people ages 2 to adult
E. David Weschler (1958)
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Mental age does not keep developing forever...but we don’t get stupider
with age…therefore, IQ formula breaks down as we get older…
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Solution: Deviation IQ
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Compares individual scores to the mean of peer group
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WISC: ages 6 to 16
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WAIS: late adolescence thru adulthood
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Two major parts: verbal and performance subtests
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The “Bell Curve” Distribution of WAIS IQ scores
II. Extremes in Intelligence
A. Mental retardation: IQ below 70 and “significant limitations” in
2+ everyday abilities
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Difficulties with self-care/direction, school work, social relationships,
communication
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One in 10 US families is affected by mental retardation
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Examples of causes
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Genetic defects: Down syndrome (extra chromosome on the 21st pair), fragile
X syndrome (small bit of DNA on X chromosome repeats itself many times),
Phenylketonuria (defective gene causes toxic substances in blood to damage
brain)
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Environment causing brain damage: Fetal alcohol syndrome (mother drinks
alcohol heavily during pregnancy), mother being malnurished/ill during
pregnancy, inadequate health care in treating disease after birth, eating
lead paint
B. Mental Giftedness: IQ above 130 (but, term is more commonly used to
denote the 150-180 IQ range)
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MENSA: limits membership to top 2% of population
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But, giftedness is not an absolute marker for success…
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Charles Darwin showed no signs of being gifted as a child; most gifted
children grow up to be ordinary adults
III. Issues to consider in IQ testing
A. Reliability: degree to which test gives consistent results
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IQ tends to increase a bit with age, but tends to level off in your 20s
B. Validity: does the test measure what it claims to measure?
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Predictive validity: IQ positively correlated with academic performance
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And to some extent with job success and income level, stable marriages,
and staying out of jail
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But, remember just because IQ is correlated with these things, it doesn’t
mean that all people with low IQ’s are unsuccessful…we are talking averages
here, not absolutes!
C. Controversy
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The Bell Curve by Herrnstein & Murray (1994): claim that differences
in IQ between races are largely genetic (Asians, Whites, Hispanics, and
African Americans)
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Critics of book make following points
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IQ tests are biased against African Americans
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Differences caused by environmental factors: whites tend to average higher
SES and lower family size
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Differences minimized when income level and family size are controlled
for in statistical techniques
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Steele’s research on stereotype threat
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African Americans are sensitive to the negative stereotype for their race
and have more pressure/stress which inhibits test performance.
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IQ gap between whites and African Americans is shrinking (difference is
only 2/3 of of what is was decades ago)
IV. Factor theories of intelligence
A. Spearman’s “g”: general factor
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High positive correlation between a lot of different tasks: people who
do well on one subtest of the WAIS IQ scale tend to do well on other subtests
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Evidence for single underlying intellectual capacity
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But, Spearman also noted a wide variation in the sizes of the positive
correlations between various subtests.
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Due to “s” or “specific factor” of each subtask: when you are performing
a task, you are drawing on “g” as well as on a specialized ability, “s”,
specific to that task.
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Spearman believed some tasks rely on “s” more than “g” (e.g., spelling),
while IQ scores depended mostly on “g” rather than “s”.
B. Thurstone’s primary mental abilities
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7 factors which correlate but not enough to represent 1 underlying factor
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1 – verbal comprehension, 2– word fluency, 3 – number facility (arithmetic),
4 – associative memory, 5 – perceptual speed for stimulus recognition,
6 – reasoning, 7 – spatial visualization
C. Horn & Cattell’s two-factor theory
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Fluid intelligence: free-form ability to figure out novel situations
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Thinking ability, memory, speed of processing; largely inherited; not influenced
by training; declines with age
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Vs. crystallized intelligence
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Skills and knowledge/facts and the ability the use and combine them – i.e.,
becoming an expert in an area; increases (or stays same) throughout life
V. Emotional Intelligence
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Salovey & Mayer: Whether you act intelligently or not often depends
on how well you understand both your own emotions and how your actions
will affect others
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Emotional Intelligence: the ability to understand and regulate emotions
effectively
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Comprised of 5 key abilities: 1 – knowing your emotions, 2 – managing your
feelings, 3 – self-motivation, 4 – recognizing others’ emotions, 5 – handling
relationships
VI. The Nature-Nurture Debate
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Heritability: extent to which variable can be attributed to heredity
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The more genes in common, the higher the correlation between family member’s
IQs
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Consensus for heritability estimate of intelligence is somewhere around
0.50
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On average, genetic makeup can describe about half the story behind a person’s
IQ
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The rest of the story must be explained by environment…
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SES, social support, maternal factors, etc.
However, environmental story is a much more complex tale to discover!