Lecture Slides 
Chapter Seven 
Thinking, 
Language, 
and 
Intelligence 
By Glenn Meyer 
Trinity University
Introduction: Thinking, 
Language and Intelligence 
Basic Terms 
Cognition 
mental activities 
involved in 
acquiring, retaining 
and using 
knowledge 
Thinking 
manipulation of 
mental 
representations to 
draw inferences and 
conclusions 
Mental image 
representation of 
objects or events 
that are not present
The Building Blocks of 
Thought 
Mental Imagery and Concepts 
Mental Images 
• Mental images usually refer to visual 
“pictures.” 
• However, people can also form mental 
representations that involve senses 
other than vision. 
• People seem to manipulate mental 
images in the same way that they 
manipulate their visual images of 
actual objects. 
• This is demonstrated in tasks involving 
mentally scanning and rotating an 
image. 
Thinking often 
involves the 
manipulation of two 
forms of mental 
representations: 
mental images and 
concepts.
Concepts 
Mental category of objects or ideas 
based on shared properties 
Using concepts makes it easier to: 
Communicate with others 
Remember information 
Learn new information 
• Concept of “food” might include 
anything from a sardine to a 
rutabaga 
• Formal concept — mental 
category formed by learning rules 
Example: a substance can be 
categorized as a solid, liquid, or 
gas 
• Natural concept — mental 
category formed by everyday 
experience 
Natural concepts have “fuzzy” 
boundaries and are not always 
sharply defined 
• Prototype: the best, or most 
typical, example of a particular 
concept 
• Exemplars: individual instances
Seeing Faces and Places in the Mind’s Eye 
• Same brain areas are activated in vision and imagery 
• Brain-imaging techniques indicate that when we look at a 
face or imagine one, the fusiform facial area (FFA) is 
activated. 
• When we look at pictures of a place or imagine one, the 
parahippocampal place area (PPA) is activated.
Solving Problems and Making 
Decisions 
Problem-Solving Strategies 
Trial and Error 
Trying a variety of solutions and eliminating 
those that don’t work 
Algorithm 
Using a specific rule, procedure, or method 
(such as a mathematical formula) that 
inevitably produces the correct solution 
Example: Degrees Celsius to Fahrenheit (F 
= C × 9/5 + 32) 
Heuristics 
Following a general rule of thumb to reduce 
the number of possible solutions 
Example: trying someone’s birthday as the 
password to their account rather than trying 
random combinations of numbers 
Useful heuristics: 
• Breaking a problem 
into a series of 
subgoals 
• Working backward 
Key to Successful 
Problem-Solving
Insight and Intuition 
Insight 
Click here 
Sudden realization 
of how a problem 
can be solved 
Intuition 
Click here 
Coming to a conclusion or 
making a judgment without 
conscious awareness of the 
thought processes involved 
• Guiding stage — you perceive a 
pattern in information, but not 
consciously 
• Integrative stage — a 
representation of pattern 
becomes conscious, usually in 
form of a hunch or hypothesis
Obstacles to Solving Problems 
Thinking Outside the Box 
• Functional fixedness: tendency to view objects as 
functioning only in their usual or customary way 
• Mental set: tendency to persist in solving problems with 
solutions that have worked in the past 
Click on each graphic to 
see the solution.
Single-feature 
model 
make a decision by 
focusing on only one 
feature 
Different cognitive 
strategies are used 
when making decisions, 
depending on the type 
and number of options 
available to us. 
Click here 
Additive model 
systematically 
evaluate the 
important features of 
each alternative 
Decision- 
Making 
Strategies 
Elimination by 
aspects model 
rate choices based 
on features; 
eliminate those that 
do not meet the 
desired criteria, 
despite other 
desirable 
characteristics
Estimating the Probability of 
Events —Decisions Involving 
Uncertainty 
The Availability Heuristic 
• Judge probability of an event by how 
easily you can recall previous 
occurrences of that event 
• Most people will overestimate deaths 
from natural disasters because 
disasters are frequently shown on TV 
• Most people will underestimate deaths 
from asthma because those deaths 
don’t make local news 
• The less accurately our memory of an 
event reflects the actual frequency of 
the event, the less accurate our 
estimate of event’s likelihood will be
The 
Representativeness 
Heuristic 
The likelihood of an event 
is estimated by comparing 
how similar it is to the 
prototype of the event 
Can produce faulty estimates if 
1. Possible variations from the prototype are 
not considered 
2. The approximate number of prototypes that 
actually exist are not considered 
Research suggests 
• The availability heuristic is more likely to be used when 
people rely on information held in their long-term 
memory to determine the likelihood of events occurring. 
• The representativeness heuristic is more likely to be 
used when people compare different variables to make 
predictions.
The Persistence of 
Unwarranted 
Beliefs 
Contradictory evidence can 
actually strengthen a person’s 
established beliefs. Why? 
Obstacle 1: The Belief-Bias Effect… click here 
• Occurs when people accept only the evidence that conforms to 
their belief, rejecting or ignoring any evidence that does not 
Obstacle 2: Confirmation Bias… click here 
• Tendency to search for information or evidence that confirms a 
belief, while making little or no effort to search for information that 
might disprove belief 
Obstacle 3: The Fallacy of Positive Instances… click here 
• Tendency to remember uncommon events that seem to confirm 
our beliefs and to forget events that disconfirm our beliefs 
Obstacle 4: The Overestimation Effect… click here 
• Tendency to overestimate the rarity of events
Language and 
Thought — 
Characteristics of Language 
The purpose of language is to 
communicate—to express 
meaningful information in a 
way that can be understood 
by others. 
Language is a 
system for 
combining 
arbitrary 
symbols to 
produce an 
infinite number 
of meaningful 
statements Generativity 
Characteristics 
Click here 
language is 
creative, or 
generative; it 
can generate an 
infinite number 
of new and 
different phrases 
and sentences 
Displacement 
language can 
communicate 
meaningfully 
about ideas, 
objects, and 
activities that are 
not physically 
present
Chapter07
The Effect of Language 
on Perception 
Whorfian Hypothesis 
• Whorf (1956) — language 
determines the very 
structure of thoughts and 
perceptions 
• Whorfian hypothesis also 
called the linguistic 
relativity hypothesis 
• Whorf’s strong contention 
that language determines 
perception and structure of 
thought has not been 
supported 
• Language use, however, 
has been found to influence 
particular concepts, as in 
mathematics
Animal Communication 
and Cognition 
Animals communicate with one 
another, but are they capable of 
mastering language? 
• Bonobos, dolphins, and parrots 
can respond to spoken commands 
and questions but not nearly as 
well as humans 
• Birds and elephants can 
demonstrate cooperation, social 
status, and complex memories of 
the past 
• Researchers are interested in the 
specific cognitive capabilities that 
have evolved in different species 
to help them best adapt to their 
ecological niche
Chapter07
Measuring Intelligence 
Intelligence: 
• Global 
capacity to 
think 
rationally, act 
purposefully, 
and deal 
effectively 
with the 
environment 
• Reflected in 
effective, 
rational, and 
goal-directed 
behavior
The Development of 
Intelligence Tests and 
Cognition 
Alfred Binet (1857–1911) 
• Devised a series of tests to measure different mental 
abilities for the French government 
• Focused on elementary mental abilities, such as 
memory, attention, and the ability to understand 
similarities and differences 
• Goal was to help identify “slow” children who could 
benefit from special help 
• Invented concept of mental age based on the average 
age at which questions were answered correctly 
• An “advanced” 7-year-old might have a mental age of 9, 
while a “slow” 7-year-old might demonstrate a mental 
age of 5
Lewis Terman and the 
Stanford-Binet Intelligence 
Scales 
• Developed the Stanford-Binet Intelligence Scales at 
Stanford University 
• Revision of Binet’s test 
• Developed the concept of IQ: 
IQ formula = MA/CA × 100 
Example: A bright child of a 
chronological age (CA) of 8 scores at 
a mental age (MA) of 12 for an IQ of 
150. 
12/8 x 100 = 150
World War I and Group 
Intelligence Testing 
• Army needed to develop mass testing option for millions 
of recruits 
• Two versions: 
Army Alpha 
test was 
administered in 
writing. 
Army Beta test was 
administered orally to 
recruits and draftees 
who could not read. 
May have led to overuse of tests and discrimination
David Wechsler and the 
Wechsler Intelligence Scales 
• Dissatisfaction with Stanford-Binet Intelligence Scales 
led to the development of the Wechsler Adult 
Intelligence Scale (WAIS). Its several components 
included: 
• Verbal score: Scores on subtests of vocabulary, 
comprehension, and knowledge of general 
information 
• Performance score: Largely nonverbal subtests: 
identifying missing parts in incomplete pictures, 
arranging pictures to tell a story, arranging blocks to 
match a given pattern 
• Calculated IQ by comparing an individual’s score with 
scores of others in same general age group 
• Developed for kids: the Wechsler Intelligence Scale for 
Children (WISC) and the Wechsler Preschool and 
Primary Scale of Intelligence (WPPSI)
Principles of Test Construction 
Standardization 
Click here 
• Administration 
of a test to a 
large, 
representative 
sample of 
people under 
uniform 
conditions for 
the purpose of 
establishing 
norms 
Norms 
Click here 
• Typically 
closely follow 
a pattern of 
individual 
differences 
called a 
normal 
curve, or 
normal 
distribution 
Validity 
Click here 
• Ability of a test to measure 
what it is intended to 
measure 
• Does test correlate with 
other measures of same 
construct? 
• School achievement? 
• IQ tests (i.e., Stanford- 
Binet and Wechsler) 
correlate highly 
• BUT, they were designed 
to test what you learn in 
school. 
• Prestigious positions? 
• On-the-job performance 
and other work-related 
variables? 
Achievement test: 
Test designed to measure a person’s 
level of knowledge, skill, or 
accomplishment in a particular area 
Aptitude test: 
test designed to assess a 
person’s capacity to benefit 
from education or training 
Reliability 
Click here 
• Ability of a 
test to 
produce 
consistent 
results when 
administered 
on repeated 
occasions 
under similar 
conditions
Standardization 
The Normal Curve of Distribution of IQ Scores 
The distribution of IQ scores on the WAIS-III in the general 
population tends to follow a bell-shaped normal curve, with the 
average score defined as 100. Notice that 68 percent of the 
scores fall within the “normal” IQ range of 85 to 115. Ninety-five 
percent of the general population score between 70 and 130, 
while only one-tenth of 1 percent score lower than 55 or higher 
than 145.
The Nature of Intelligence 
Psychologists do not agree about the basic 
nature of intelligence, including whether it is a 
single, general ability, and whether it includes 
skills and talents, as well as mental aptitude.
Charles 
Spearman 
Intelligence is 
a General 
Ability 
g factor, or general intelligence 
General intelligence: factor that is 
responsible for a person’s overall 
performance on tests of mental ability 
Charles Spearman’s theory of intelligence 
Louis L. 
Thurstone 
Intelligence is 
a Cluster of 
Abilities 
Seven different “primary mental abilities” 
Each a relatively independent element 
of intelligence 
Louis L. Thurstone’s theory of intelligence 
Examples: verbal comprehension, numerical 
ability, reasoning, and perceptual speed 
Howard 
Gardner 
Multiple 
Intelligences 
Multiple mental abilities are independent of 
one another and cannot be accurately 
reflected in a single measure of intelligence 
Howard Gardner’s theory of intelligence 
Robert 
Sternberg 
Three Forms 
of 
Intelligence 
Click here for example 
Proposed a different conception of 
successful intelligence 
Successful intelligence involves three 
distinct types: 
Analytic intelligence—mental processes 
used in learning how to solve problems 
Creative intelligence—the ability to deal 
with novel situations by drawing on existing 
skills and knowledge 
Practical intelligence—the ability to adapt 
to the environment (street smarts) 
Robert Sternberg’s Theory of Intelligence 
Click here to close this 
example
The Roles of Genetics and Environment 
in Determining Intelligence 
Question: 
Are differences between people due to 
environmental or genetic differences? 
A: Both genes and environment contribute to 
intelligence, but the relationship is complex. 
“The nature-versus-nurture debate is 
now informed by current research on 
molecular biology that moves the 
question from which factor is more 
important to how and when expression 
of the human genome is triggered and 
maintained. The basic behavior genetics 
issue has become how environment 
influences gene expression.” 
Bernard Brown (1999) 
“We need to appreciate that all 
human behavior is based on 
biology and, hence, will involve 
some degree of genetic influence. 
But, equally, all social behavior is 
bound to be affected by social 
context and, hence, will involve an 
important environmental 
influence.” 
Michael Rutter (1997)
Twin Studies 
Identical twins 
share exactly the 
same genes. 
Fraternal twins develop 
from two different 
fertilized eggs. 
• Identical twins raised 
together have very 
similar IQ scores. 
• Identical twins raised 
in separate homes 
have IQs that are 
slightly less similar 
than identical twins 
raised together, 
indicating the effect of 
different 
environments. 
• Fraternal twins raised 
together have IQs that 
are less similar than 
identical twins raised 
together, but they 
show more similarity 
in IQ scores than 
nontwin siblings 
raised together.
Heredity and Environment 
Heritability 
Click here 
• Degree to which 
variation in trait stems 
from genetic, rather 
than environmental, 
differences among 
individuals 
• Currently accepted 
heritability estimate is 
about 50% for the 
general population 
Environment 
Click here 
Degree to which variation 
is due to environmental, 
rather than genetic, 
differences.
Group Differences in IQ Scores 
• Average IQ scores can differ 
between identifiable racial and 
ethnic groups. 
• Asian children may score higher 
than European American 
children in middle school. 
• The difference in scores is 
probably caused by a difference 
in attitude and pressure toward 
achievement.
Differences Within Groups 
Versus Differences 
Between Groups 
An agricultural example 
• Each cornfield planted from 
same package of genetically 
diverse seeds 
• One field is quite fertile, the 
other is not 
• Within each field, the 
differences are due to genetics 
• Between each field, the 
differences are due to 
environment (fertility) 
• Same point can be extended to 
the issue of average IQ 
differences between racial 
groups 
More variation in IQ 
scores within a 
particular group than 
between groups
Differences Within Groups 
Versus Differences 
Between Groups 
• Unless the environmental conditions of two racial groups are virtually 
identical, it is impossible to estimate the overall genetic differences 
between the two groups. 
• Other evidence for the importance of the environment in determining 
IQ scores: 
• Improvement in average IQ scores has occurred in several 
cultures and countries during the past few generations 
• 14 nations have shown significant gains in average IQ scores in 
just one generation 
• Average IQ score in the United States has also steadily increased 
over the past century 
• Such changes in a population can be accounted for only by 
environmental changes 
More variation in IQ 
scores within a 
particular group than 
between groups
Cross-Cultural Studies of Group 
Discrimination and IQ Differences 
• Tests reflect the culture in which 
they are developed; cultural 
factors also influence test-taking 
behavior (culture bias) 
• Burakumin of Japan are not 
racially different from other 
Japanese, but have suffered 
from generations of 
discrimination; their average IQ 
scores are about10 to 15 points 
below those of mainstream 
Japanese 
• In many other cultures, a similar 
gap in IQ scores exists between 
the discriminated-against 
minority and the dominant 
group; cross-cultural studies 
show that the average IQ scores 
of groups that are subject to 
social discrimination are often 
lower than average score of the 
socially dominant group even if 
no racial differences exist
Reasons for Group IQ 
Differences 
Processes: 
• Fear that you might confirm 
stereotype, which creates 
psychological stress, self-doubt, 
and anxiety 
• Physiological arousal and 
distracting thoughts interfere 
with concentration, memory, 
and problem-solving abilities 
• Individuals who are most highly 
motivated to perform well are 
the ones most likely to be 
affected by stereotype threat 
• Being aware of how stereotype 
threat can affect your 
performance helps minimize its 
negative effects 
Stereotype Threat – 
Claude Steele 
A psychological 
predicament in which you 
fear that you will be 
evaluated in terms of a 
negative stereotype about a 
group to which you belong; 
creates anxiety and self-doubt 
and can lower 
performance in a particular 
domain that is important to 
you 
Example: When reminded 
of their racial identity, 
white men did worse on a 
math test when they 
thought they were 
competing with Asian men 
(Aronson & others, 1999)
Are IQ Tests Culturally Biased? 
• Standardized intelligence tests may reflect white, 
middle-class cultural knowledge and values. 
• Minority-group members may do poorly on the tests 
not because of lower intelligence, but because of 
unfamiliarity with the white, middle-class culture. 
• It is generally recognized that it is virtually 
impossible to design a test that is completely 
culture-free. 
• Cultural differences may also be involved in test-taking 
behavior. 
• Cultural factors as motivation, attitudes toward test 
taking, and previous experiences with tests can 
affect performance and scores on tests.

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Chapter07

  • 1. Lecture Slides Chapter Seven Thinking, Language, and Intelligence By Glenn Meyer Trinity University
  • 2. Introduction: Thinking, Language and Intelligence Basic Terms Cognition mental activities involved in acquiring, retaining and using knowledge Thinking manipulation of mental representations to draw inferences and conclusions Mental image representation of objects or events that are not present
  • 3. The Building Blocks of Thought Mental Imagery and Concepts Mental Images • Mental images usually refer to visual “pictures.” • However, people can also form mental representations that involve senses other than vision. • People seem to manipulate mental images in the same way that they manipulate their visual images of actual objects. • This is demonstrated in tasks involving mentally scanning and rotating an image. Thinking often involves the manipulation of two forms of mental representations: mental images and concepts.
  • 4. Concepts Mental category of objects or ideas based on shared properties Using concepts makes it easier to: Communicate with others Remember information Learn new information • Concept of “food” might include anything from a sardine to a rutabaga • Formal concept — mental category formed by learning rules Example: a substance can be categorized as a solid, liquid, or gas • Natural concept — mental category formed by everyday experience Natural concepts have “fuzzy” boundaries and are not always sharply defined • Prototype: the best, or most typical, example of a particular concept • Exemplars: individual instances
  • 5. Seeing Faces and Places in the Mind’s Eye • Same brain areas are activated in vision and imagery • Brain-imaging techniques indicate that when we look at a face or imagine one, the fusiform facial area (FFA) is activated. • When we look at pictures of a place or imagine one, the parahippocampal place area (PPA) is activated.
  • 6. Solving Problems and Making Decisions Problem-Solving Strategies Trial and Error Trying a variety of solutions and eliminating those that don’t work Algorithm Using a specific rule, procedure, or method (such as a mathematical formula) that inevitably produces the correct solution Example: Degrees Celsius to Fahrenheit (F = C × 9/5 + 32) Heuristics Following a general rule of thumb to reduce the number of possible solutions Example: trying someone’s birthday as the password to their account rather than trying random combinations of numbers Useful heuristics: • Breaking a problem into a series of subgoals • Working backward Key to Successful Problem-Solving
  • 7. Insight and Intuition Insight Click here Sudden realization of how a problem can be solved Intuition Click here Coming to a conclusion or making a judgment without conscious awareness of the thought processes involved • Guiding stage — you perceive a pattern in information, but not consciously • Integrative stage — a representation of pattern becomes conscious, usually in form of a hunch or hypothesis
  • 8. Obstacles to Solving Problems Thinking Outside the Box • Functional fixedness: tendency to view objects as functioning only in their usual or customary way • Mental set: tendency to persist in solving problems with solutions that have worked in the past Click on each graphic to see the solution.
  • 9. Single-feature model make a decision by focusing on only one feature Different cognitive strategies are used when making decisions, depending on the type and number of options available to us. Click here Additive model systematically evaluate the important features of each alternative Decision- Making Strategies Elimination by aspects model rate choices based on features; eliminate those that do not meet the desired criteria, despite other desirable characteristics
  • 10. Estimating the Probability of Events —Decisions Involving Uncertainty The Availability Heuristic • Judge probability of an event by how easily you can recall previous occurrences of that event • Most people will overestimate deaths from natural disasters because disasters are frequently shown on TV • Most people will underestimate deaths from asthma because those deaths don’t make local news • The less accurately our memory of an event reflects the actual frequency of the event, the less accurate our estimate of event’s likelihood will be
  • 11. The Representativeness Heuristic The likelihood of an event is estimated by comparing how similar it is to the prototype of the event Can produce faulty estimates if 1. Possible variations from the prototype are not considered 2. The approximate number of prototypes that actually exist are not considered Research suggests • The availability heuristic is more likely to be used when people rely on information held in their long-term memory to determine the likelihood of events occurring. • The representativeness heuristic is more likely to be used when people compare different variables to make predictions.
  • 12. The Persistence of Unwarranted Beliefs Contradictory evidence can actually strengthen a person’s established beliefs. Why? Obstacle 1: The Belief-Bias Effect… click here • Occurs when people accept only the evidence that conforms to their belief, rejecting or ignoring any evidence that does not Obstacle 2: Confirmation Bias… click here • Tendency to search for information or evidence that confirms a belief, while making little or no effort to search for information that might disprove belief Obstacle 3: The Fallacy of Positive Instances… click here • Tendency to remember uncommon events that seem to confirm our beliefs and to forget events that disconfirm our beliefs Obstacle 4: The Overestimation Effect… click here • Tendency to overestimate the rarity of events
  • 13. Language and Thought — Characteristics of Language The purpose of language is to communicate—to express meaningful information in a way that can be understood by others. Language is a system for combining arbitrary symbols to produce an infinite number of meaningful statements Generativity Characteristics Click here language is creative, or generative; it can generate an infinite number of new and different phrases and sentences Displacement language can communicate meaningfully about ideas, objects, and activities that are not physically present
  • 15. The Effect of Language on Perception Whorfian Hypothesis • Whorf (1956) — language determines the very structure of thoughts and perceptions • Whorfian hypothesis also called the linguistic relativity hypothesis • Whorf’s strong contention that language determines perception and structure of thought has not been supported • Language use, however, has been found to influence particular concepts, as in mathematics
  • 16. Animal Communication and Cognition Animals communicate with one another, but are they capable of mastering language? • Bonobos, dolphins, and parrots can respond to spoken commands and questions but not nearly as well as humans • Birds and elephants can demonstrate cooperation, social status, and complex memories of the past • Researchers are interested in the specific cognitive capabilities that have evolved in different species to help them best adapt to their ecological niche
  • 18. Measuring Intelligence Intelligence: • Global capacity to think rationally, act purposefully, and deal effectively with the environment • Reflected in effective, rational, and goal-directed behavior
  • 19. The Development of Intelligence Tests and Cognition Alfred Binet (1857–1911) • Devised a series of tests to measure different mental abilities for the French government • Focused on elementary mental abilities, such as memory, attention, and the ability to understand similarities and differences • Goal was to help identify “slow” children who could benefit from special help • Invented concept of mental age based on the average age at which questions were answered correctly • An “advanced” 7-year-old might have a mental age of 9, while a “slow” 7-year-old might demonstrate a mental age of 5
  • 20. Lewis Terman and the Stanford-Binet Intelligence Scales • Developed the Stanford-Binet Intelligence Scales at Stanford University • Revision of Binet’s test • Developed the concept of IQ: IQ formula = MA/CA × 100 Example: A bright child of a chronological age (CA) of 8 scores at a mental age (MA) of 12 for an IQ of 150. 12/8 x 100 = 150
  • 21. World War I and Group Intelligence Testing • Army needed to develop mass testing option for millions of recruits • Two versions: Army Alpha test was administered in writing. Army Beta test was administered orally to recruits and draftees who could not read. May have led to overuse of tests and discrimination
  • 22. David Wechsler and the Wechsler Intelligence Scales • Dissatisfaction with Stanford-Binet Intelligence Scales led to the development of the Wechsler Adult Intelligence Scale (WAIS). Its several components included: • Verbal score: Scores on subtests of vocabulary, comprehension, and knowledge of general information • Performance score: Largely nonverbal subtests: identifying missing parts in incomplete pictures, arranging pictures to tell a story, arranging blocks to match a given pattern • Calculated IQ by comparing an individual’s score with scores of others in same general age group • Developed for kids: the Wechsler Intelligence Scale for Children (WISC) and the Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
  • 23. Principles of Test Construction Standardization Click here • Administration of a test to a large, representative sample of people under uniform conditions for the purpose of establishing norms Norms Click here • Typically closely follow a pattern of individual differences called a normal curve, or normal distribution Validity Click here • Ability of a test to measure what it is intended to measure • Does test correlate with other measures of same construct? • School achievement? • IQ tests (i.e., Stanford- Binet and Wechsler) correlate highly • BUT, they were designed to test what you learn in school. • Prestigious positions? • On-the-job performance and other work-related variables? Achievement test: Test designed to measure a person’s level of knowledge, skill, or accomplishment in a particular area Aptitude test: test designed to assess a person’s capacity to benefit from education or training Reliability Click here • Ability of a test to produce consistent results when administered on repeated occasions under similar conditions
  • 24. Standardization The Normal Curve of Distribution of IQ Scores The distribution of IQ scores on the WAIS-III in the general population tends to follow a bell-shaped normal curve, with the average score defined as 100. Notice that 68 percent of the scores fall within the “normal” IQ range of 85 to 115. Ninety-five percent of the general population score between 70 and 130, while only one-tenth of 1 percent score lower than 55 or higher than 145.
  • 25. The Nature of Intelligence Psychologists do not agree about the basic nature of intelligence, including whether it is a single, general ability, and whether it includes skills and talents, as well as mental aptitude.
  • 26. Charles Spearman Intelligence is a General Ability g factor, or general intelligence General intelligence: factor that is responsible for a person’s overall performance on tests of mental ability Charles Spearman’s theory of intelligence Louis L. Thurstone Intelligence is a Cluster of Abilities Seven different “primary mental abilities” Each a relatively independent element of intelligence Louis L. Thurstone’s theory of intelligence Examples: verbal comprehension, numerical ability, reasoning, and perceptual speed Howard Gardner Multiple Intelligences Multiple mental abilities are independent of one another and cannot be accurately reflected in a single measure of intelligence Howard Gardner’s theory of intelligence Robert Sternberg Three Forms of Intelligence Click here for example Proposed a different conception of successful intelligence Successful intelligence involves three distinct types: Analytic intelligence—mental processes used in learning how to solve problems Creative intelligence—the ability to deal with novel situations by drawing on existing skills and knowledge Practical intelligence—the ability to adapt to the environment (street smarts) Robert Sternberg’s Theory of Intelligence Click here to close this example
  • 27. The Roles of Genetics and Environment in Determining Intelligence Question: Are differences between people due to environmental or genetic differences? A: Both genes and environment contribute to intelligence, but the relationship is complex. “The nature-versus-nurture debate is now informed by current research on molecular biology that moves the question from which factor is more important to how and when expression of the human genome is triggered and maintained. The basic behavior genetics issue has become how environment influences gene expression.” Bernard Brown (1999) “We need to appreciate that all human behavior is based on biology and, hence, will involve some degree of genetic influence. But, equally, all social behavior is bound to be affected by social context and, hence, will involve an important environmental influence.” Michael Rutter (1997)
  • 28. Twin Studies Identical twins share exactly the same genes. Fraternal twins develop from two different fertilized eggs. • Identical twins raised together have very similar IQ scores. • Identical twins raised in separate homes have IQs that are slightly less similar than identical twins raised together, indicating the effect of different environments. • Fraternal twins raised together have IQs that are less similar than identical twins raised together, but they show more similarity in IQ scores than nontwin siblings raised together.
  • 29. Heredity and Environment Heritability Click here • Degree to which variation in trait stems from genetic, rather than environmental, differences among individuals • Currently accepted heritability estimate is about 50% for the general population Environment Click here Degree to which variation is due to environmental, rather than genetic, differences.
  • 30. Group Differences in IQ Scores • Average IQ scores can differ between identifiable racial and ethnic groups. • Asian children may score higher than European American children in middle school. • The difference in scores is probably caused by a difference in attitude and pressure toward achievement.
  • 31. Differences Within Groups Versus Differences Between Groups An agricultural example • Each cornfield planted from same package of genetically diverse seeds • One field is quite fertile, the other is not • Within each field, the differences are due to genetics • Between each field, the differences are due to environment (fertility) • Same point can be extended to the issue of average IQ differences between racial groups More variation in IQ scores within a particular group than between groups
  • 32. Differences Within Groups Versus Differences Between Groups • Unless the environmental conditions of two racial groups are virtually identical, it is impossible to estimate the overall genetic differences between the two groups. • Other evidence for the importance of the environment in determining IQ scores: • Improvement in average IQ scores has occurred in several cultures and countries during the past few generations • 14 nations have shown significant gains in average IQ scores in just one generation • Average IQ score in the United States has also steadily increased over the past century • Such changes in a population can be accounted for only by environmental changes More variation in IQ scores within a particular group than between groups
  • 33. Cross-Cultural Studies of Group Discrimination and IQ Differences • Tests reflect the culture in which they are developed; cultural factors also influence test-taking behavior (culture bias) • Burakumin of Japan are not racially different from other Japanese, but have suffered from generations of discrimination; their average IQ scores are about10 to 15 points below those of mainstream Japanese • In many other cultures, a similar gap in IQ scores exists between the discriminated-against minority and the dominant group; cross-cultural studies show that the average IQ scores of groups that are subject to social discrimination are often lower than average score of the socially dominant group even if no racial differences exist
  • 34. Reasons for Group IQ Differences Processes: • Fear that you might confirm stereotype, which creates psychological stress, self-doubt, and anxiety • Physiological arousal and distracting thoughts interfere with concentration, memory, and problem-solving abilities • Individuals who are most highly motivated to perform well are the ones most likely to be affected by stereotype threat • Being aware of how stereotype threat can affect your performance helps minimize its negative effects Stereotype Threat – Claude Steele A psychological predicament in which you fear that you will be evaluated in terms of a negative stereotype about a group to which you belong; creates anxiety and self-doubt and can lower performance in a particular domain that is important to you Example: When reminded of their racial identity, white men did worse on a math test when they thought they were competing with Asian men (Aronson & others, 1999)
  • 35. Are IQ Tests Culturally Biased? • Standardized intelligence tests may reflect white, middle-class cultural knowledge and values. • Minority-group members may do poorly on the tests not because of lower intelligence, but because of unfamiliarity with the white, middle-class culture. • It is generally recognized that it is virtually impossible to design a test that is completely culture-free. • Cultural differences may also be involved in test-taking behavior. • Cultural factors as motivation, attitudes toward test taking, and previous experiences with tests can affect performance and scores on tests.

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