Chapter 13 - Judgement, Decisions and Reasoning Flashcards

(59 cards)

1
Q

-judgement:

A

about appearance etc

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2
Q

-Decisions:

A

the process of making choices between alternatives, based on judgements that we make

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3
Q

-Reasoning:

A

the process of drawing conclusions

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4
Q

Inductive Reasoning

A
  • the process of drawing general conclusions based on specific observations and evidence, the conclusions we reach are probably but not definitely true
  • reasoning that is based on observation
  • reaching conclusions from evidence
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5
Q

inductive reasoning

-Observation

A

-all the crows I’ve seen in Pittsburg are black. When I visited my brother in Washington, DC, the crows I saw there were back too

Conclusion

-I think it is a pretty good bet that all crows are black
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6
Q

Strength of Argument

A
  • representativeness of observations – how well do the observations about a particular category represent all the members of that category?
    • number of observations
    • quality of observations
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7
Q

Used to make scientific discoveries

inductive reasoning

A

hypothesis and general conclusions

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8
Q

Used in everyday life

inductive reasoning

A

-make a prediction about what will happen based on observation about what has happened in the past

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9
Q

Heuristics

A
  • ”rules of thumb” that are likely to provide the correct answer to a problem, but are not foolproof
  • provide us with shortcuts to help us generalize form specific experiences to broader judgements and conclusions
  • two more commonly used heuristics include the availability heuristic and the representativeness heuristic
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10
Q

-Availability heuristic:

A

events more easily remembered are judged as being more probable than those less easily remembered (Tversky and Kahneman, 1973)

  • Which is more prevalent, words that begin with letter r, or words in which r is the third letter?
  • Most people stated that there are more words that start with r. Actually, there are three times more words that have r in the third position
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11
Q

Illusory Correlations:

A

correlation appears to exist, but either does not exist or is much weaker than assumed. Wearing a “lucky shirt” for a certain outcome to occur, no real relationship exists

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12
Q

stereotypes:

A
oversimplified generalizations about a group or class of people that often focuses on the negative
 	-selective attention to the stereotypical behaviours makes these behaviours more available, based on the availability heuristic  (Chapman and Chapman, 1969)
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13
Q

-Representativeness heuristic:

A

the probability that A is a member of class B can be determined by how well the properties of A resembles properties normally associated with class B

  • based on how much an event resembles other events
  • the probability that A come from B can be determined by how well A resembles properties of B
    • use base rate information if it is all that is available
    • base rate: the relative proportion of different classes in the population
    • use descriptive information if available and disregard base rate information
    • we randomly pick on male from the population of the US. The male, Robert, wears glasses, speaks quietly, and reads a lot. Is it more likely that Robert is a librarian for a farmer?
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14
Q

-Use base rate information if it all that available

A
  • In a group of 100 people, there are 30 farmers and 1 librarian. We pick one male, Robert. Is it more likely that Robert is a librarian or a farmer?
  • Use descriptive information and disregard base rate information
    • in a group of 100 people, there are 30 farmers and 1 librarian, and we pick Robert
    • The male, Robert, wears glasses, speaks quietly, and reads a lot. Is it more likely that Robert is a librarian for a farmer?
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15
Q

Conjunction rule:

A

probability of two events cannot be higher than the probability of the single constituents

- but 81% of participants picked two  - bank teller, feminist example
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16
Q

Heuristics cont’d (ignore law of large number)

-law of larger numbers:

A

the larger the number of individuals randomly drawn from a population, the more representative the resulting group will be of the entire population

  • from a group of 10,000 people (5000 males and 5000 females), we choose two groups. First group with 1000 people and the second group with 10 people
  • for which group, the percent of males will be closer to 50% - larger
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17
Q

confirmation bias:

A

tendency to conform rather than falsify hypothesis, people look for information that confirms their hypothesis and ignore information that refutes it

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18
Q

-the myside bias:

A

tendency for people to generate and evaluate evidence and test their hypothesis in a way that is based towards their own opinions and attitudes

- Lord and coworkers (1979) had those in favor of capital punishment and those against it read the same article  
	- those in favor found the article convincing  
	- those against found the article unconvincing
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19
Q

the backfire effect:

A

a person’s viewpoint could actually become stronger when faced with corrective facts opposing their viewpoints

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20
Q

Deductive Reasoning

A

-determining whether a conclusion logically follows from statements (premises)

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21
Q

syllogism:

A
  • basic from of deductive reasoning
  • two statements called premises
  • third statement called conclusion
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22
Q

-categorical syllogism

A
  • describe relation between two categories, using all, no, or some
    • syllogism is valid if conclusion follows logically from its two premises
    • validity in this context indicates that the conclusion follows logically from its two premises
  • Aristotle’s “perfect” syllogism
    • Premise 1: All A are B
    • Premise 2: All B are C
    • Conclusions: therefore, all A are C
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23
Q
  • If two premises of a valid syllogism are true, the syllogism’s conclusion must be true
    • do not confuse “validity” with “truth”
A
  • Premise 1: all birds are animals
    - premise 2: all animals have 4 legs
    - premise 3: all birds have 4 legs
    • valid but premise 2 and the conclusion are not true
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24
Q

-invalid syllogism but the premises and conclusions could be true

A
  • premise 1: all of the students are tired
    - premise 2: some tired people are irritable
  • premise 3: some of the students are irritable
25
-so, this syllogism is not valid because both premises are true, but the conclusion is not
-premise 1: all of the cats are tired Premise 2: some tired animals are dogs Premise 3: some of the cats are dogs
26
-belief bias:
the tendency to think a syllogism is valid if its conclusion is believable -good reasoning and truth is not the same thing
27
How Well Can People Judge Validity? -Evaluation:
ask people if conclusions follow logically from premises
28
Production:
ask people indicated what logically follows from premises -Many errors in evaluation
29
-Valid but believable
Premise 1: All birds are animals * Premise 2: All animals have four legs * Conclusion: All birds have four legs
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-Invalid but believable
* Premise 1: All of the students are tired * Premise 2: Some tired people are irritable * Conclusion: Some of the students are irritable
31
Mental Model Approach
- Mental Model (Johnson-Laird, 1999b): a specific situation represented in a person’s mind that can be used to help determine the validity of syllogism in deductive reasoning - create a model of a situation based on the premises - generate tentative conclusions about model - look for exceptions to falsify model - determine validity of syllogism
32
Deductive Reasoning -Conditional syllogisms
the first premise is a “if...then” - If p, the q. (1sr premise) - p is antecedent, q is consequent - for 2nd premise, there are 4 ways - affirming the antecedent (now p) - denying the consequent (now not q) - affirming the consequent (now q) - denying the antecedent (now not p)
33
-Condition syllogisms
- ”If p, then q” - is it q. Affirming the consequent (NOT valid) - If it’s robin, then it’s a bird - it’s a bird (sparrow is a bird) - therefore, it’s a robin (sparrow is a robin) “If p, then q.” * Not P, Denying the antecedent (NOT Valid) * If it is a robin, then it’s a bird * It’s not a robin (sparrow is not a robin) * Therefore, it’s not a bird (sparrow is not a bird)
34
The Wason 4-Card Problem
- effect of using real-world items in a conditional-reasoning problem - determine minimum number of cards to turn over to test: if there is a vowel on one side, then there is an even number on the other side
35
Falsification principle:
to test a rule, you must look for situations that falsify the rule - most participants fail to do this - when problem is stated in concrete everyday terms, correct responses greatly increase - would need to turn over the E and 7 to test the rules
36
-pragmatic reasoning schema:
thinking about cause and effect in the world as part of experiencing everyday life
37
permission schema:
if A is satisfied, B can be carried out - used in concrete versions - people are familiar with rules
38
Evolutionary Perspective on Cognition
- Evolutionary principles of natural selection - wason task governed by built-in cognitive program for detecting cheating - in contrast to permission schema
39
-Social Exchange Theory
-an important aspect of human behaviour is the ability of two people to cooperate in a way that is beneficial to both of them
40
-Cosmides and Tooby (1992)
- created unfamiliar situations where cheating could occur - if a man eats cassava root, then he must have a tattoo on his face - participants did well - evidence against permissions schema
41
Conditional Reasoning
- What is clear so far are - context is important - familiarity is not always important
42
Decision Making -Expected utility theory
- people are rational | - if they have all the relevant information, they make a decision that results in maximum expected utility
43
-utility:
outcomes are desirable because they are in the person's best interest -maximum monetary payoff
44
-advantages for utility approach
-specific procedures to determine the “best choice:
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-Problems for utility approach
- not necessarily money, people find value in other things | - many decisions do not maximize the probability of the best outcome
46
Emotions effect decisions -Expected emotions
- emotions that people predict that they will feel concerning an outcome - a determinate of risk aversion: the tendency to avoid taking risks
47
-immediate emotions
- experienced at the time a decision is being made | - people inaccurately predict their own emotions
48
-incidental emotions:
emotions that are not specifically related to decision-making - may be related to one’s general disposition or personality, some recent experience, or one’s general environment or surroundings - can affect one’s overall decisions making processes
49
-focusing illusion:
focus on just one aspect of a situation and ignore other aspects that may be important - dating and happiness - how happy are you? - how many dates did you have last month? - correlation higher is ask dating first
50
opt-in procedure
-active step to be organ donor
51
out-out procedure
-organ donor unless requested not be
52
-status-quo bias
-the tendency to do nothing when faced with deciding
53
Risk-Taking Strategies -Risky decisions
- risk-aversion strategy used when problem is stated in terms of gains - risk-taking strategy when problem is stated in terms of losses
54
-framing effect:
decisions are influenced by how a decision is stated - can highlight one aspect of a situation - Tversky and Kahnemann (1981) - when situations are framed in terms of gains, people tend toward a risk-aversion strategy - when situations are framed in terms of losses, people tend toward a risk-taking strategy
55
-decision making process includes looking for
for justification so a rationale is presented with decision (Tversky and Shafir, 1992) - you have taken a tough exam. You passed it (failed it or will know the result in two days). You have an opportunity to buy a very attractive 5-day Christmas vacation package. - buy, not buy, pr pay $5 to retain the rights to buy the vacation the day after tomorrow - ” pass and “fail” are both good reasons for a trip - this is why doctors may carry out medical tests that might not lead to different treatments
56
-Neuroeconomics
-one finding: decisions are influenced by emotions, and those emotions are associated with activity in specific areas of the brain
57
-Sanfey and coworkers (2003)
- ultimatum game - often rejected low offers because they became angry that offers were unfair - less angry with an “unfair” computer - more activation of right anterior insula (connected with emotional states), participants more likely to reject more offers - emotion is important in decisions-making
58
The Dual Systems Approach to Thinking -Kahnemann (2011)
- two mental systems - system 1: fast, automatic, intuitive, unconscious - system 2: slower, deliberative, conscious, controlled - much of our day-to-day existence is handled by system 1 - system 2 takes over when we need to be more thoughtful
59
The Dual Systems Approach to Thinking -Stanovich and West (2000)
- favor terms Type 1 processing and Type 2 processing - similar characteristics as Kehneman’s System 1 and system 2 concept - favored by many researchers because better reflects the interconnected, distributed processing that occurs in the brain