U5 Psychology Class
Psychology
© 2014, 2011, 2008 by Pearson Education, Inc. All rights reserved.
CHAPTER9
Thinking and
Intelligence
© 2014, 2011, 2008 by Pearson Education, Inc. All rights reserved.
Section
• Thought: Using what we know
– Parallels between mind and machine can be
useful guides to thinking about cognition
because both actively process information by
altering it, organizing it, and using it to make
decisions.
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Thought LO9.1 Distinguish between the various elements of cognition, such as concepts,
prototypes, propositions, schemas, and mental images.
• The elements of cognition
– Proposition: A meaningful unit, built of
concepts, expressing a single idea
– Concept: Mental category that groups
objects, relations, activities, abstractions, or
qualities having common properties
– Basic concepts: Have a moderate number of
instances and are easier to acquire
– Prototype: An especially representative
example of a concept
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Thought, cont’ LO9.1 Distinguish between the various elements of cognition, such as concepts,
prototypes, propositions, schemas, and mental images.
• The elements of cognition, cont’
– Proposition: A meaningful unit, built of
concepts, expressing a single idea
– Cognitive schema: An integrated mental
network of knowledge, beliefs, and
expectations concerning a particular topic or
aspect of the world.
– Mental image: A mental representation that
mirrors or resembles the thing it represents.
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Thought, cont’ LO9.2 Distinguish between the varieties of conscious thought, such as subconscious
thinking, nonconscious thinking, and implicit learning.
• How conscious is thought?
– Subconscious processes
• Mental processes occurring outside of conscious
awareness but accessible to consciousness when
necessary.
– Nonconscious processes
• Mental processes occurring outside of and not
available to conscious awareness.
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Thought, cont’ LO9.2 Distinguish between the varieties of conscious thought, such as subconscious
thinking, nonconscious thinking, and implicit learning.
• Types of conscious processes
– Implicit learning
• When you acquire knowledge about something
without being aware of how you did so, and without
being able to state exactly what you have learned.
– Mindlessness: Mental inflexibility, inertia, and
obliviousness in the present context
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Thought, cont’ LO9.3 Contrast algorithms and heuristics as problem-solving strategies, and give an
example of each.
• Problem solving and decision making
– Algorithm: A problem-solving strategy
guaranteed to produce a solution even if the
user does not know how it works.
– Heuristic: A rule of thumb that suggests a
course of action or guides problem solving but
does not guarantee an optimal solution.
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Reasoning Rationally LO9.4 Discuss the various types of reasoning, such as formal reasoning, informal
reasoning, dialectical reasoning, and stages of reflective judgment.
• Reasoning rationally
– Reasoning: The drawing of conclusions or
inferences from observations, facts, or
assumptions
– Dialectical reasoning: A process in which
opposing facts or ideas are weighed and
compared, with a view to determining the best
solution or resolving differences
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Reasoning Rationally, cont’ LO9.4 Discuss the various types of reasoning, such as formal reasoning, informal
reasoning, dialectical reasoning, and stages of reflective judgment.
• Reflective judgment
– Skills
• Question assumptions
• Evaluate and integrate evidence
• Relate evidence to theory or opinion
• Consider alternative interpretations
• Reach defensible conclusions
• Reassess conclusions in face of new evidence
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Reasoning Rationally, cont’ LO9.4 Discuss the various types of reasoning, such as formal reasoning, informal
reasoning, dialectical reasoning, and stages of reflective judgment.
• Barriers to reasoning rationally
– Although most people have the capacity
to think logically, reason dialectically,
and make judgments reflectively, it is
clear that they do not always do so.
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Barriers to Reasoning Rationally LO9.5 Describe how the affect heuristic and the availability heuristic both illustrate the
tendency to exaggerate the improbable.
• Exaggerating the improbable
– Affect heuristic
• The tendency to consult one’s emotions instead of
estimating probabilities objectively.
– Availability heuristic
• The tendency to judge the probability of a type of
event by how easy it is to think of examples or
instances.
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Barriers to Reasoning Rationally, cont’ LO9.6 Explain how the framing effect leads people to avoid loss in probabilistic
judgments.
• Avoiding loss
– Framing effect: The
tendency for people’s
choices to be affected
by how a choice is
presented, or framed,
such as whether it is
worded in terms of
potential losses or
gains.
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Barriers to Reasoning Rationally, cont’ LO9.7 Summarize the mechanisms driving the fairness bias, hindsight bias, confirmation
bias, and mental sets, and give an example of each.
The fairness bias
The Ultimatum Game: Your partner gets $10 and must
decide how much to share with you. You can accept
or reject the offer, but if you reject it, neither of you get
any money.
• It is rational to accept any offer: you always end up with
more money if you accept than if you reject the offer.
• In industrial societies, offers of 50% are typical.
• Offers below 20–30% are commonly rejected.
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Barriers to Reasoning Rationally, cont’ LO9.7 Summarize the mechanisms driving the fairness bias, hindsight bias, confirmation
bias, and mental sets, and give an example of each.
• The hindsight bias
– The tendency to overestimate one’s ability to
have predicted an event once the outcome is
known.
• The “I knew it all along” phenomenon
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Barriers to Reasoning Rationally, cont’ LO9.7 Summarize the mechanisms driving the fairness bias, hindsight bias, confirmation
bias, and mental sets, and give an example of each.
• The confirmation bias
– The tendency to look for
or pay attention only to
information that confirms
one’s own belief.
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Barriers to Reasoning Rationally, cont’ LO9.7 Summarize the mechanisms driving the fairness bias, hindsight bias, confirmation
bias, and mental sets, and give an example of each.
The nine-dot problem
• Mentally trace a line to
connect all nine dots.
• Use no more than four
lines.
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Barriers to Reasoning Rationally, cont’ LO9.7 Summarize the mechanisms driving the fairness bias, hindsight bias, confirmation
bias, and mental sets, and give an example of each.
• Biases due to mental set
– Mental set
• Tendency to solve problems using
procedures that worked before on similar
problems.
• Mental sets make learning and problem
solving more efficient.
• Not helpful when problem calls for fresh
insights and new methods.
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Barriers to Reasoning Rationally, cont’ LO9.8 Explain the process of cognitive dissonance, using an example of someone faced
with the choice of selecting one of two desirable universities to attend.
• The need for cognitive consistency – Cognitive dissonance: A state of tension that occurs
when a person holds two cognitions that are
psychologically inconsistent, or when a person’s
belief is incongruent with his or her behavior.
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Barriers to Reasoning Rationally, cont’ LO9.9 Describe three conditions under which feelings of cognitive dissonance are likely to
occur.
You try especially hard to reduce
dissonance…
… when you need to justify a choice or
decision that you made freely
… when you need to justify behavior that
conflicts with your view of yourself
… when you need to justify the effort put
into a decision or choice
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Barriers to Reasoning Rationally, cont’ LO9.9 Describe three conditions under which feelings of cognitive dissonance are likely to
occur.
• Justification of effort
– The tendency of people
to increase their liking
for something they have
worked hard for or
suffered to attain
– A common form of
dissonance reduction
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Barriers to Reasoning Rationally, cont’ LO9.10 Discuss the conditions under which cognitive biases can be detrimental to
reasoning, and when they might be beneficial.
• Overcoming our cognitive biases
– Sometimes our mental biases are a good
thing: ability to reduce cognitive dissonance
helps us preserve our self-confidence
– Sometimes our mental biases are a bad thing:
people stay stuck with decisions that
eventually prove to be self-defeating, harmful,
or incorrect.
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Measuring Intelligence LO9.11 Outline the basic logic underlying factor analysis as a psychometric tool.
• The psychometric approach
– Intelligence: An inferred characteristic of an
individual, usually defined as the ability to
profit from experience, acquire knowledge,
think abstractly, act purposefully, or adapt to
changes in the environment
– g factor: A general intellectual ability
assumed by many theorists to underlie
specific mental abilities and talents
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Measuring Intelligence, cont’ LO9.11 Outline the basic logic underlying factor analysis as a psychometric tool.
• Psychometrics
– The measurement of mental abilities, traits,
and processes.
– Factor analysis: A statistical method for
analyzing the intercorrelations among various
measures or test scores; clusters of measures
or scores that are highly correlated are
assumed to measure the same underlying
trait, ability, or aptitude (factor)
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Measuring Intelligence, cont’ LO9.12 Summarize the original notion of IQ and some problems associated with it, and
discuss how intelligence tests evolved during the early 1900s.
• The invention of IQ tests
– Binet believed we should measure a child’s
mental age.
– Binet and Simon developed a test which
measured memory, vocabulary, and perceptual
discrimination.
– Mental age was divided by chronological age and
multiplied by 100 to get an intelligence quotient.
– Now IQ scores are derived from norms provided
for standardized intelligence tests.
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Measuring Intelligence, cont’ LO9.12 Summarize the original notion of IQ and some problems associated with it, and
discuss how intelligence tests evolved during the early 1900s.
– IQ scores distributed
normally
• Bell-shaped curve
– Very high and very low
scores are rare.
• 68% of people have IQ
scores between 85 and
115.
• 99.7% between 55 and
145
• Expected distribution of IQ scores
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Measuring Intelligence, cont’ LO9.12 Summarize the original notion of IQ and some problems associated with it, and
discuss how intelligence tests evolved during the early 1900s.
Wechsler tests performance tasks
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Measuring Intelligence, cont’ LO9.12 Summarize the original notion of IQ and some problems associated with it, and
discuss how intelligence tests evolved during the early 1900s.
• Can IQ tests be culture free?
– Attempts to make IQ tests culture fair or culture free
have backfired because different cultures have
different problem-solving strategies.
– Culture affects a person’s…
• Attitude toward exams
• Comfort in settings required for testing
• Motivation
• Rapport with test provider
• Competitiveness
• Ease of independent problem solving
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Measuring Intelligence, cont’ LO9.12 Summarize the original notion of IQ and some problems associated with it, and
discuss how intelligence tests evolved during the early 1900s.
• Expectations and IQ
– Scores are affected by expectations for
performance
– Expectations are shaped by stereotypes
– Stereotype threat
• Burden of doubt a person feels about his or her
performance, due to negative stereotypes about his or
her group’s abilities.
• Stereotype threat affects African Americans,
Latinos/Latinas, low-income people, women, and the
elderly.
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Measuring Intelligence, cont’ LO9.12 Summarize the original notion of IQ and some problems associated with it, and
discuss how intelligence tests evolved during the early 1900s.
Stereotype threat
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Measuring Intelligence, cont’ LO9.12 Summarize the original notion of IQ and some problems associated with it, and
discuss how intelligence tests evolved during the early 1900s.
Critics of standard intelligence tests point
out that such tests tell us little about how
a person goes about answering questions
and solving problems.
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Dissecting Intelligence LO9.13 Describe the components of the triarchic theory of intelligence, and provide an
example of the kinds of skills and abilities associated with each.
• Sternberg’s triarchic theory
– Componential (analytic)
• Comparing, analyzing, and evaluating
• This type of process correlates best with IQ
– Experiential (creative)
• Inventing solution to new problems
• Transfer skills to new situations
– Contextual (practical)
• Applying the things you know to everyday contexts
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Dissecting Intelligence, cont’ LO9.14 Discuss how concepts such as emotional intelligence broaden our traditional
understanding of the nature of intelligence.
• Domains of intelligence
– Emotional intelligence
• Ability to identify your own and other people’s
emotions accurately
• Ability to express your emotions clearly
• Ability to manage emotions in self and others
• Appears to be biologically based (Damasio, 1994)
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Dissecting Intelligence, cont’ LO9.15 Outline how longitudinal studies and cross-cultural studies shed light on the
interplay of motivation, hard work, and intellectual achievement.
• Motivation and intelligence
– Comparing 100 most successful men with 100
least successful, researchers found that
motivation, not IQ, made the difference.
– Motivation to work hard at intellectual tasks
differs as a function of culture.
– American children are as knowledgeable as
Asian children on general skills.
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Dissecting Intelligence, cont’ LO9.15 Outline how longitudinal studies and cross-cultural studies shed light on the
interplay of motivation, hard work, and intellectual achievement.
• Grades, IQ, and
self-discipline
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Dissecting Intelligence, cont’ LO9.15 Outline how longitudinal studies and cross-cultural studies shed light on the
interplay of motivation, hard work, and intellectual achievement.
• Beliefs about
intelligence
– Asian parents, teachers, and
students are more likely to
believe that math ability comes
from studying.
– Americans are more likely to
view ability as innate.
– American parents had lower
academic standards for kids.
– American children value
education less.
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Dissecting Intelligence, cont’ LO9.15 Outline how longitudinal studies and cross-cultural studies shed light on the
interplay of motivation, hard work, and intellectual achievement.
• Animal minds
– Some biologists, psychologists, and
ethologists are convinced that we are not the
only animals with cognitive abilities.
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Animal Minds LO9.16 Summarize the evidence both supporting and refuting the concept of animal
intelligence.
• Animal intelligence
– Cognitive ethology
• The study of cognitive processes in
nonhuman animals.
– Studies show that animals can
• Anticipate future events
• Make plans
• Coordinate their activities with those of their
comrades
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Animal Minds LO9.16 Summarize the evidence both supporting and refuting the concept of animal
intelligence.
• Theory of mind
– A system of beliefs about…
• the way one’s own mind and the minds of
others work
• how individuals are affected by their beliefs
and feelings
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Animal Minds, cont’ LO9.17 Summarize the evidence both supporting and refuting the concept of animal
language use.
• Animals and language
– Language is a critical element in human
cognition. • Many species can be taught to communicate in ways that
resemble language.
• Chimpanzees and bonobos converse with humans using
American Sign Language and symbol board systems.
• An African grey parrot was taught to count, classify, and
compare objects using English words.
– Whether these behaviors are language depends
on definition of “language.”
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Animal Minds, cont’ LO9.18 Explain why both anthropomorphism and anthropodenial are unwise approaches
to understanding animal cognition.
• Thinking about the thinking of animals
– Anthropomorphism: The tendency to falsely
attribute human qualities to nonhuman
beings.
– Anthropodenial: The tendency to think,
mistakenly, that human beings have nothing
in common with other animals.