Lecture 18 Flashcards
3 factors in decision making
Individual differences, decision architecture, situational factors
Individual differences due to gender
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.
Negating academic gender effects
Reducing stereotype threat by telling participants there are no gender differences and making participants write self-affirmations before tests
The brain as it ages
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)
Intelligence and aging
Intelligence is multidimensional, so there is multi-directionality in change
Flynn Effect
IQ scores around world have increased in last several decades - richer environment. Longitudinal vs. cross sectional studies show more consistent inductive reasoning
What elements of intelligences degrade over time?
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
Raven’s Progressive Matrices Task
Test for fluid intelligence
Protective Lifetime Exposure Model
Even as fluid intelligence declines, increasing crystallized intelligence will help to maintain equivalent levels of decisionmaking in fields such as financial decision making
The Nun Study
Provides proof that there is still some level of plasticity in late adulthood - mental exercise reduces cognitive decline
Aging and affective forecasting
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
Expert vs. lay perceptions of risk
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.
1000 laypeople vs. 1 expert
1000 laypeople can predict world events better than experts. The more diverse and gender-balanced the group, the better the prediction.
Feedback and expertise
Experts who get frequent feedback such as weather forecasters are better at risk perception
Political beliefs and goal framing
Goal framing can change decisions: for example, framing emissions as having either public health or environmental consequences.