Exam 3 Flashcards

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1
Q

Connecting

A

Past theories and evidence —> current theory and evidence —> predictions

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2
Q

Converging

A

Multiple pieces of evidence that lead to current theory

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3
Q

Gradual synthesis

A

Progress occurs as the community of scientists gradually begins to agree that the evidence supports one explanation over another

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4
Q

Principle of converging evidence

A

Support for theories comes about when the preponderance of evidence from many different types of studies point to the same answer

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5
Q

Meta-analysis

A

Statistical method for combining results of many studies

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6
Q

File drawer problem

A

Non significant results are less likely to be published

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7
Q

Magic bullet

A

The (one and only, all purpose) cause of something

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8
Q

Multiple causation

A

When not one but many constructs/variables contribute to a psychological phenomenon

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9
Q

Interaction

A

The joint effect of two or more variables on another variable

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10
Q

Uncertainty

A

Lacking knowledge about which events will occur

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11
Q

Heuristic

A

Informal, intuitive, speculative strategy for making a decision

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12
Q

Availability heuristic

A

Evaluating the probability of an event by judging the ease with which relevant instances come to mind

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13
Q

Representativeness heuristic

A

Evaluating the probability of an event in terms of how well it represents, or matches, a prototype

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14
Q

Base rates

A

The relative proportion of different groups/classes in the population

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15
Q

Conjunction rule

A

The probability of a conjunction between two events cannot be greater than the probability of one event alone (think red corvette examples he gave)

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16
Q

Conjunction fallacy

A

Incorrect assumption that two or more specific conditions are more likely than one general condition

17
Q

Fallacy

A

A mistaken belief, especially one based on unsound argument

18
Q

Gambler’s fallacy

A

The probability of a hit is greater after a long series of misses

19
Q

Hot hand

A

The probability of a hit is greater after a hit than after a miss

20
Q

Law of large numbers

A

The more times you run an experiment, the closer the average of the results approximates the expected/population value

21
Q

Expected utility hypothesis (EU)

A

Optimal decision making is based on an outcomes utility and the probability of it being achieved

22
Q

Framing

A

The perspective from which an outcome is viewed

23
Q

Risk averse

A

When framed as a gain, people are risk-averse

24
Q

Risk taking

A

When framed as a loses, people are risk takers

25
Q

Delay interval

A

Time between current behavior and availability of future outcome

26
Q

Delay discounting (aka temporal discounting)

A

Occurs when a future outcome is represented in the present at a marked down value

27
Q

Clinical

A

Informal, impressionistic, intuitive decision making strategy, may or may not reflect expertise

28
Q

Statistical

A

Mechanical, formal, algorithmic, mathematical models based on quantitative data

29
Q

Judgmental bootstrapping

A

The development of a statistical model that assimilates an experts forecasts into it by inferring rules the expert appeared to use in making the forecasts