Lecture 18 Flashcards

1
Q

3 factors in decision making

A

Individual differences, decision architecture, situational factors

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2
Q

Individual differences due to gender

A

Risk perception, academics (may be related to fear of failure and stereotype threat). There are probably some gender differences due to evolution, but many beliefs in differences in thinking/cognition likely invalid.

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3
Q

Negating academic gender effects

A

Reducing stereotype threat by telling participants there are no gender differences and making participants write self-affirmations before tests

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4
Q

The brain as it ages

A

Brain weight declines as brain cells die and dendrites increase. Some areas, such as the prefrontal cortex, shrink more than others (this is related to decrease in working memory but not vocabulary)

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5
Q

Intelligence and aging

A

Intelligence is multidimensional, so there is multi-directionality in change

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6
Q

Flynn Effect

A

IQ scores around world have increased in last several decades - richer environment. Longitudinal vs. cross sectional studies show more consistent inductive reasoning

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7
Q

What elements of intelligences degrade over time?

A

Speed of processing, working memory, long-term memory. However, performance is preserved for World Knowledge. Fluid knowledge (hardware of the mind) declines white crystallized intelligence (software of the mind) remains the same or improves

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8
Q

Raven’s Progressive Matrices Task

A

Test for fluid intelligence

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9
Q

Protective Lifetime Exposure Model

A

Even as fluid intelligence declines, increasing crystallized intelligence will help to maintain equivalent levels of decisionmaking in fields such as financial decision making

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10
Q

The Nun Study

A

Provides proof that there is still some level of plasticity in late adulthood - mental exercise reduces cognitive decline

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11
Q

Aging and affective forecasting

A

Older adults are usually happier as they focus on emotional goals and are better at regulating emotional experience and expression. Positivity bias, better perspective. Less extreme affective forecasting, more confirmation bias

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12
Q

Expert vs. lay perceptions of risk

A

Experts are often better at judging specific risks but not necessarily better at judging risk in general. However, still make be vulnerable to law of small numbers, hindsight bias, confirmation bias. Don’t always make better judgments than laypeople.

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13
Q

1000 laypeople vs. 1 expert

A

1000 laypeople can predict world events better than experts. The more diverse and gender-balanced the group, the better the prediction.

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14
Q

Feedback and expertise

A

Experts who get frequent feedback such as weather forecasters are better at risk perception

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15
Q

Political beliefs and goal framing

A

Goal framing can change decisions: for example, framing emissions as having either public health or environmental consequences.

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16
Q

Individual differences and decision frames

A

Frames have strong effects, but not every frame works the same on everyone - depends on characteristics. There may be an interaction between the two.

17
Q

Experiments and individual differences

A

When studying effect in isolation, must either control for identities or have large sample. IDs may influence the way that effects impact people