Exam 3 Flashcards

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
Delay interval
Time between current behavior and availability of future outcome
26
Delay discounting (aka temporal discounting)
Occurs when a future outcome is represented in the present at a marked down value
27
Clinical
Informal, impressionistic, intuitive decision making strategy, may or may not reflect expertise
28
Statistical
Mechanical, formal, algorithmic, mathematical models based on quantitative data
29
Judgmental bootstrapping
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