Prospect Theory: Value Function and Key Findings
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Questions and Answers

What major emotional factor does prospect theory fail to account for in decision-making?

  • Confidence
  • Anticipation
  • Disappointment (correct)
  • Joy

In the context of choosing between a gamble and a certain amount, what factor increases the anticipated pain of regret?

  • The likelihood of winning the gamble
  • The certainty of winning a smaller amount (correct)
  • The size of the gamble
  • The total number of options available

How do prospect theory and utility theory evaluate options in decision-making?

  • Independently and separately from one another (correct)
  • By combining all possible outcomes into a single evaluation
  • Through the context of previous experiences only
  • Based on emotional response and possible regret

What does prospect theory imply about the impact of winning nothing when a large prize is highly anticipated?

<p>It will be devastating in comparison to the expectations (B)</p> Signup and view all the answers

What is a flaw identified in both prospect theory and utility theory?

<p>They assume regret does not influence decisions (A)</p> Signup and view all the answers

What do decision-makers primarily assess outcomes relative to?

<p>Neutral reference points (D)</p> Signup and view all the answers

Which statement about loss aversion is correct?

<p>Losses are perceived more negatively than equivalent gains. (C)</p> Signup and view all the answers

How does diminishing sensitivity affect subjective value?

<p>It leads to smaller perceived differences at higher magnitudes. (D)</p> Signup and view all the answers

In the context of the Asian disease problem, what do individuals prefer when decisions are framed as gains?

<p>Risk-averse choices (B)</p> Signup and view all the answers

What results from a negative framing effect in decision-making?

<p>A shift toward risk-seeking behavior (B)</p> Signup and view all the answers

Which gambling scenario illustrates blindness of prospect theory?

<p>A gamble with a small win probability (D)</p> Signup and view all the answers

Why might winning nothing be assigned a value of zero in certain gambles?

<p>It serves as a reference point. (C)</p> Signup and view all the answers

What creates risk-averse choices in mixed gambles?

<p>Loss aversion causing emphasis on losses (D)</p> Signup and view all the answers

How does the value function in prospect theory differ from the traditional utility function?

<p>It measures value based on changes in wealth from a reference point. (B)</p> Signup and view all the answers

What characteristic of the value function reflects loss aversion?

<p>It is convex for losses. (B)</p> Signup and view all the answers

In problem 1, why do most people choose to receive $900 for sure instead of gambling for a 90% chance to win $1,000?

<p>They exhibit risk aversion due to the value function's shape. (C)</p> Signup and view all the answers

What was the outcome of problem 4 compared to problem 3 in terms of decision preferences?

<p>A majority preferred the gamble in problem 4 and the sure outcome in problem 3. (C)</p> Signup and view all the answers

What issue arises from Bernoulli’s theory when comparing decision-making in the problems described?

<p>It ignores the concept of reference points. (A)</p> Signup and view all the answers

What does the convex shape of the value function for losses indicate about individuals' behaviors?

<p>They prefer higher potential losses when evaluated at a reference point. (D)</p> Signup and view all the answers

Which of the following statements is true regarding the reference point in the value function?

<p>It can be the expected outcome of a financial decision. (A)</p> Signup and view all the answers

Why did a large majority prefer the sure option in problem 3?

<p>The potential gain did not outweigh the risk. (C)</p> Signup and view all the answers

What cognitive process is likely to occur when judging the probability of an unlikely event?

<p>Availability heuristic (C)</p> Signup and view all the answers

In the context of estimating probabilities, when a target event is likely, what alternative usually receives more focus?

<p>Worst outcomes (B)</p> Signup and view all the answers

What is the likely outcome of being in a confirmatory mode when estimating the frequency of problems?

<p>Overestimation of problems (D)</p> Signup and view all the answers

In prospect theory, how does the decision weight for a 90% chance compare to the utility theory equivalent?

<p>It is lower (B)</p> Signup and view all the answers

What aspect of optimism is highlighted in the planning fallacy?

<p>Overestimating chances of success (B)</p> Signup and view all the answers

What may lead someone to overestimate the probability of a rare event?

<p>Not fully specifying the alternative (A)</p> Signup and view all the answers

What generally happens to decision weights when probabilities vary in prospect theory?

<p>They have variable effects on decisions (C)</p> Signup and view all the answers

How do decision weights for probabilities like 90% and 10% differ in prospect theory?

<p>The weight for 90% is disproportionately low (A)</p> Signup and view all the answers

How does the vividness of an outcome affect the sensitivity to probability in decision-making?

<p>It decreases sensitivity to low probabilities. (B)</p> Signup and view all the answers

What psychological phenomenon is demonstrated by the decision-making regarding Urn A and Urn B?

<p>Denominator neglect affects decision-making. (D)</p> Signup and view all the answers

Which effect describes the tendency to overweight certain probabilities due to vivid imagery?

<p>Certainty effect (D)</p> Signup and view all the answers

What is the primary reason that vivid but irrelevant details disrupt monetary decision-making?

<p>They confuse the decision weights assigned to prospects. (A)</p> Signup and view all the answers

In the context of risk psychology, how does cognitive ease influence the perception of event outcomes?

<p>It enhances the perceived likelihood of improbable outcomes. (D)</p> Signup and view all the answers

What would likely happen when individuals are exposed to a detailed representation of a potential loss?

<p>They overvalue that potential loss compared to its probability. (D)</p> Signup and view all the answers

What conclusion can be drawn from students' choices regarding the marbles in Urn A and Urn B?

<p>Emotional appeals override logical probability assessments. (A)</p> Signup and view all the answers

What aspect of decision-making does 'denominator neglect' primarily affect?

<p>The consideration of overall probabilities. (B)</p> Signup and view all the answers

What psychological mechanism leads people to overweight unlikely outcomes?

<p>Confirmation bias (B)</p> Signup and view all the answers

How did Kahneman's behavior change when he encountered a bus, despite his knowledge of the low risk?

<p>He avoided stopping next to a bus. (B)</p> Signup and view all the answers

What effect does frequent media coverage of rare events have on public perception?

<p>It creates an availability cascade. (B)</p> Signup and view all the answers

Which aspect of decision-making is illustrated by the difference between assessing a probability and placing a bet?

<p>Decision weights (A)</p> Signup and view all the answers

What primarily causes the overestimation of the probabilities of unlikely events?

<p>Availability heuristic (A)</p> Signup and view all the answers

What is the implication of System 1 in decision-making regarding low-probability events?

<p>It cannot be shut off and contributes to discomfort. (A)</p> Signup and view all the answers

How do specific descriptions impact decision-making according to the principles discussed?

<p>They trigger the associative machinery of System 1. (C)</p> Signup and view all the answers

What is a potential consequence of Kahneman's observation regarding risk perception in everyday choices?

<p>Individuals may make overly cautious decisions. (C)</p> Signup and view all the answers

What effect does denominator neglect have on the perception of low probability events?

<p>It increases the salience of unlikely outcomes when described as frequencies. (D)</p> Signup and view all the answers

Which statement best illustrates how format influences risk perception?

<p>Communicating risks as frequencies makes them more vivid and memorable. (B)</p> Signup and view all the answers

What phenomenon explains why rare events are often overestimated in decision-making?

<p>The possibility effect causes rare outcomes to be overweighted. (B)</p> Signup and view all the answers

How does System 1 cognition differ from System 2 in risk assessment?

<p>System 1 makes faster judgments that often focus on individuals rather than categories. (C)</p> Signup and view all the answers

Why might it be problematic to assess a vaccine's risk using the statement '0.001% risk of permanent disability'?

<p>It fails to connect the risk with an individual outcome effectively. (D)</p> Signup and view all the answers

What is the primary effect of framing a decision in terms of vivid individual outcomes?

<p>It enhances the salience of low probability events. (C)</p> Signup and view all the answers

What is often a common behavior observed in decision-making from experience?

<p>Individuals often underweight rare probabilities. (D)</p> Signup and view all the answers

What is experienced utility primarily concerned with?

<p>The actual satisfaction derived from an outcome. (B)</p> Signup and view all the answers

What is the primary function that describes how people distort probabilities according to prospect theory?

<p>Pi function (B)</p> Signup and view all the answers

How do people react to changes in probability near the boundaries of 0 and 1, according to prospect theory?

<p>With increased sensitivity (B)</p> Signup and view all the answers

What does the certainty effect imply about outcomes that are almost certain?

<p>They are given less weight than their probability justifies. (D)</p> Signup and view all the answers

Which principle states that choices should not depend on how a situation is described?

<p>Principle of invariance (A)</p> Signup and view all the answers

Why can certainty about an outcome be seen as an illusion in decision-making?

<p>It can lead to overconfidence in choices. (B)</p> Signup and view all the answers

What effect does changing a probability from a 0 to 0.1 have compared to changing it from 0.3 to 0.4?

<p>It has a greater impact on decision-making. (D)</p> Signup and view all the answers

Which statement best describes the framing effect as it relates to decision-making?

<p>It influences choices based on how information is presented. (C)</p> Signup and view all the answers

What is the potential negative outcome of relying on the certainty effect in decision-making?

<p>It results in more inconsistent decisions. (A)</p> Signup and view all the answers

What defines the difference between predicted utility and experienced utility?

<p>Predicted utility reflects past memories, whereas experienced utility is the true enjoyment of the moment. (A)</p> Signup and view all the answers

How might decision utility lead to poor decision-making?

<p>It represents a choice made without consideration of true utility. (C)</p> Signup and view all the answers

What role do endings and peak experiences play in our memory of utility?

<p>They are largely ignored when recalling the overall experience. (D)</p> Signup and view all the answers

What does prospect theory primarily focus on?

<p>Describing how choices deviate from expected-utility theory. (A)</p> Signup and view all the answers

What is a key assumption of expected-utility theory that prospect theory challenges?

<p>Utility is revealed through actual choices made. (A)</p> Signup and view all the answers

How do subjective probabilities impact decision-making according to prospect theory?

<p>The more probable a consequence, the heavier its utility is weighed. (D)</p> Signup and view all the answers

Inconsistency in choices made by the same person indicates what about decision utility?

<p>It does not necessarily equate to true enjoyment or value. (D)</p> Signup and view all the answers

What does the concept of seeking variety illustrate in terms of experienced utility?

<p>That individuals can sometimes ignore previous enjoyment for new experiences. (D)</p> Signup and view all the answers

What statistical test is appropriate when using a random groups design with two levels of a single independent variable?

<p>Independent groups t test (D)</p> Signup and view all the answers

In a matched or related measures design, how is statistical variance controlled?

<p>By pairing subjects based on a specific criterion (C)</p> Signup and view all the answers

What defines the independent variable in an experiment comparing the learning speed of the same subjects under alcohol and no-alcohol conditions?

<p>Alcohol consumption (B)</p> Signup and view all the answers

Which of the following is true about a random groups design with more than two levels?

<p>There are different groups for each condition (D)</p> Signup and view all the answers

When two independent groups participate in an experiment, what is the nature of the independent variable?

<p>It has two levels or conditions (C)</p> Signup and view all the answers

What is the main advantage of using a matched or related measures design?

<p>It controls for individual variability (D)</p> Signup and view all the answers

What scenario exemplifies a matched pairs design?

<p>Measuring the IQs of siblings from the same family (A)</p> Signup and view all the answers

An example of a dependent variable measured on an interval scale would be:

<p>Reaction time in seconds (B)</p> Signup and view all the answers

What is the appropriate statistical test for comparing the performance of students in four different educational programs?

<p>One-way randomized analysis of variance (ANOVA) (D)</p> Signup and view all the answers

In a repeated measures design with more than two levels, how are subjects typically tested?

<p>Each subject participates in all conditions. (A)</p> Signup and view all the answers

What is the total number of different conditions in a two-factor experiment with 4 levels of factor A and 3 levels of factor B?

<p>12 conditions (B)</p> Signup and view all the answers

Which design involves subjects being tested in only one condition regarding both retention interval and type of material?

<p>Completely Randomized Design (A)</p> Signup and view all the answers

What characteristic is common in a mixed design in experimental research?

<p>One variable is manipulated while another is naturally occurring. (D)</p> Signup and view all the answers

What type of analysis is used when measuring the effect of both imagery and frequency in a completely repeated measures design?

<p>Factorial ANOVA (A)</p> Signup and view all the answers

What is a key feature of independently varying factors in a two-factor experiment?

<p>Independent factors can vary in levels and manipulations. (C)</p> Signup and view all the answers

In a completely repeated measures design with imagery and frequency, how many total conditions are there with 2 imagery levels and 3 frequency levels?

<p>6 total conditions (D)</p> Signup and view all the answers

What defines an independent variable in an experiment?

<p>It is manipulated or selected by the experimenter. (C)</p> Signup and view all the answers

What is a control variable?

<p>A variable held constant across the conditions. (C)</p> Signup and view all the answers

How many levels are required for an independent variable in an experiment?

<p>At least two levels, including a control condition. (B)</p> Signup and view all the answers

What differentiates a randomized design from a matched groups design?

<p>Matched groups design does not involve random assignment. (B)</p> Signup and view all the answers

What type of experimental design involves the same subjects participating in all conditions?

<p>Repeated measures design. (B)</p> Signup and view all the answers

Why are matched designs preferred to randomized designs?

<p>They automatically control for confounding effects of various factors. (A)</p> Signup and view all the answers

In the context of experimental designs, what is meant by 'levels'?

<p>The different values or conditions of an independent variable. (B)</p> Signup and view all the answers

What is a characteristic of a mixed design in experimental research?

<p>One independent variable is randomized while another is matched. (A)</p> Signup and view all the answers

What does the term 'interaction' refer to in two-factor experiments?

<p>The combined effect of two independent variables on a dependent variable (B)</p> Signup and view all the answers

Which of the following is NOT a requirement for establishing a causal relationship?

<p>There must be a statistically significant correlation (D)</p> Signup and view all the answers

What is an INUS condition in the context of causal relationships?

<p>A condition that is unnecessary but a sufficient cause for an effect (A)</p> Signup and view all the answers

In an experiment, what does the term 'counterfactual' refer to?

<p>Knowledge of what would have happened if the treatment was not administered (A)</p> Signup and view all the answers

How does context dependency affect causal relationships in experiments?

<p>It introduces variability that must be controlled for accurate conclusions (C)</p> Signup and view all the answers

What characterizes the difference between causes and effects in research?

<p>Causes initiate an effect, while effects do not initiate causes (C)</p> Signup and view all the answers

In terms of taste preference, how does salt interact with food types based on the example provided?

<p>Salt enhances taste in some foods but diminishes it in others (A)</p> Signup and view all the answers

Which statement best illustrates a necessary condition in a causal relationship?

<p>The cause must happen before the effect occurs (A)</p> Signup and view all the answers

What did Kahneman and Tversky initially seek to understand about human intuition?

<p>If humans have an intuitive understanding of statistics (D)</p> Signup and view all the answers

What is the primary focus when studying heuristic errors?

<p>The methods that simplify problem-solving in cognitive tasks (C)</p> Signup and view all the answers

In the context of decision-making, what is a common misconception people have about their intuition?

<p>Intuition is always reliable and accurate (A)</p> Signup and view all the answers

What impact does intuitive decision-making have on assumptions made by individuals?

<p>It often results in misleading judgments and errors (B)</p> Signup and view all the answers

Which of the following best describes the terms 'molar' and 'molecular' as used in the context of understanding phenomena?

<p>Molar is about the properties of larger masses, while molecular relates to particles like molecules (C)</p> Signup and view all the answers

What conclusion can be made about the relationship between intuition and statistical reasoning?

<p>Statistical reasoning is often overlooked due to misleading intuition (C)</p> Signup and view all the answers

What aspect of decision-making are heuristics primarily associated with?

<p>Rules of thumb that aid fast decision-making (C)</p> Signup and view all the answers

How did Kahneman's approach evolve through his collaboration with Tversky?

<p>They began studying the errors in human judgment and decision-making (C)</p> Signup and view all the answers

What is the primary method through which experiments establish causal relationships?

<p>By manipulating a presumed cause and observing the effects (B)</p> Signup and view all the answers

Which of the following accurately describes a challenge faced by experiments regarding causal explanations?

<p>Experiments only provide causal descriptions, not explanations. (A)</p> Signup and view all the answers

What type of variables can be effectively manipulated in an experiment?

<p>Variables that can be deliberately altered, such as dosages of medication (D)</p> Signup and view all the answers

Which term best describes the process of outlining the consequences of a manipulated variable in an experiment?

<p>Causal description (D)</p> Signup and view all the answers

What is a significant limitation of experiments when it comes to non-manipulable causes?

<p>They often rely on analogue experiments for such causes. (A)</p> Signup and view all the answers

Why is causal explanation considered essential for generalizing causal descriptions?

<p>It allows transfer of findings to various situations. (B)</p> Signup and view all the answers

In what way do experimental methods differ from correlational studies concerning causation?

<p>Experiments can determine which variable came first. (A)</p> Signup and view all the answers

What is an example of a non-manipulable event that cannot serve as a cause in an experiment?

<p>The age of a study participant (C)</p> Signup and view all the answers

Flashcards

Prospect Theory Value Function

The value function in prospect theory measures changes in wealth from a reference point, unlike the traditional utility function which focuses on the absolute level of wealth.

Value Function Shape

The value function in prospect theory is convex for losses, meaning we are more likely to take risks to avoid losses. Conversely, it's concave for gains, indicating we're risk-averse when it comes to potential gains.

Loss Aversion

The value function is steeper for losses than gains, reflecting loss aversion. We feel the pain of a loss more strongly than the pleasure of an equal gain.

Risk Seeking in Losses

The prospect of a 90% chance to lose $1000 feels worse than the certainty of losing $900. This leads to risk-seeking behavior in the face of potential losses.

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Risk Aversion in Gains

The prospect of a 90% chance to gain $1000 feels less appealing than the guarantee of $900. This demonstrates risk aversion when facing potential gains.

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Reference Point

The reference point in prospect theory is the starting point for decisions, often the current wealth or an expected outcome. It influences how we perceive gains and losses.

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Reference Point Impact

Problems with identical final outcomes can lead to different preferences due to variations in the reference point. This highlights the importance of the reference point in decision-making.

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Prospect Theory vs. Utility Function

Prospect theory challenges the traditional utility function by emphasizing the role of the reference point and loss aversion in shaping our choices. It offers a more realistic depiction of how we make decisions under uncertainty.

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Reference Dependence

People assess the value of outcomes relative to a neutral reference point. Gains are outcomes above this reference point, and losses are outcomes below it.

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Diminishing Sensitivity

The psychological value of an outcome diminishes as it gets further from the reference point. The difference between $1000 and $1100 is less impactful than the difference between $100 and $200.

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Risk-Averse Behavior

People choose the sure gain over a gamble with potential for a larger gain, even if the expected value of the gamble is higher.

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Risk-Seeking Behavior

When presented with potential losses, people become more willing to take risks. This is the opposite of risk-averse behavior.

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Prospect Theory and Mixed Gambles

In situations with both possible gains and losses, loss aversion leads people to be extremely cautious, avoiding even moderately risky choices.

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Prospect Theory and Bad Choices

When faced with a guaranteed loss vs. a larger, but probable loss, diminishing sensitivity can lead people to choose the gamble, even if the expected value is worse.

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Prospect Theory and Winning Nothing

People often focus on the most negative outcome of a choice, even if it has a very low probability. This is a weakness of prospect theory.

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Prospect Theory's Disappointment Blindspot

Prospect theory fails to acknowledge the psychological impact of disappointment, particularly when a highly probable reward (like a large sum of money) is not achieved. It assumes the value of an outcome remains constant regardless of its likelihood, which doesn't reflect real-world experiences.

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Regret in Decision Making

Regret arises when we choose an option and then realize we could have been better off by choosing a different one. It's about the pain of missing out on a positive outcome, not just experiencing a negative one.

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The Flaw of Independent Evaluation

Traditional utility theory, and prospect theory as well, wrongly assume we evaluate options independently, ignoring the potential regret or disappointment associated with a choice. We actually consider the possible outcomes of both chosen and unchosen options.

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Loss Aversion in Prospect Theory

The pain of losing a certain amount of money is stronger than the pleasure of gaining the same amount. Prospect theory emphasizes the asymmetrical impact of losses and gains.

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The Role of the Reference Point

The reference point in prospect theory is the starting point from which we perceive gains and losses. It can be our current wealth, an expected outcome, or even an informal promise. It changes how we value outcomes.

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Overestimating Rare Events

People tend to overestimate the likelihood of rare events, giving them more importance in their decision-making than they actually deserve.

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Decision Weights

Decision weights are the values we assign to outcomes based on their perceived probability, reflecting how much we care about them. Rare events often get inflated decision weights.

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Terrorism and Decision Weights

Terrorism exploits the fact that people assign high decision weights to rare but vivid events. Even if the true risk is tiny, the fear and discomfort it creates can be significant.

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System 1 & Rare Events

System 1, our intuitive and emotional system, is strongly influenced by the vividness of events. While System 2 might know the true risk, it can't easily override System 1's feelings.

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Focused Attention & Vividness

Our focus and attention are strongly influenced by how an event is presented. A specific, vivid description of an outcome will trigger our System 1, making it seem more likely.

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Confirmation Bias

We tend to seek information that confirms our existing beliefs, even if it contradicts the evidence. This can reinforce our overestimation of rare events since we actively look for supporting information.

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Cognitive Ease

Cognitive ease reflects how easily information comes to mind. The more vivid and accessible a memory is, the easier it is to recall, making it seem more likely.

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Denominator Neglect

People tend to focus on the number of winning outcomes, neglecting the total number of possibilities, even if the overall probability of winning is lower.

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Vivid Probabilities

Our evaluation of an uncertain event is influenced by how vividly we can imagine the outcome, even if the probability of it happening is low.

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Emotional Outcomes

The perceived value of a gamble is less sensitive to probability when the outcome is emotional or vividly represented.

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Sensitivity to Probability

A simple outcome is more sensitive to changes in probability than a complex one.

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Certainty Effect

The effect of a change in probability is less pronounced at the extremes (very low or very high) compared to moderate probabilities.

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Possibility Effect

The probability of an event happening can be overestimated if the outcome of that event is easily imagined and vivid.

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Vivid Imagery

The vividness of a winning outcome influences our decision, leading us to neglect the total number of losing possibilities.

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Predicted Utility

The judgment you make about the quality of an experience before having it, often based on memory or assumptions.

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Decision Utility

The utility inferred from your choices, it reflects what you ultimately choose rather than what you think is best.

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Experienced Utility

The actual experience you have, reflecting the true value you derive from something.

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Prospect Theory

The theory that explains how we make choices under uncertainty, acknowledging that we often deviate from the ideally rational approach.

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Value Function

The curve that depicts how we value changes in wealth, emphasizing that losses loom larger than gains.

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Confirmatory Bias of Memory

The process of trying to make a rare event true in our minds, leading us to overestimate its probability. We focus on confirming details and ignore contradicting evidence.

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Overweighting

Describes how our attention is drawn to explicit descriptions of possibilities, like "99% chance to win $1,000, and 1% chance to win nothing." This is the opposite of neglect, where rarer possibilities are ignored.

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Rare Probabilities and Human Cognition

Our minds struggle to accurately process rare probabilities. We tend to overestimate them when they are presented in a specific way, especially when attention is focused on the rare outcomes.

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Focusing on the Unlikely Event

Our tendency to focus on the alternative, especially when something is very likely. For example, we might think more about the reasons a baby wouldn't be released from the hospital after three days, instead of the reasons it would be released.

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Availability Heuristic

When an event is rare, we tend to overestimate its likelihood. For example, if we hear about a rare medical problem, we may imagine many similar scenarios and overestimate its frequency.

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Planning Fallacy

This phenomenon explains our optimism when planning. We find it easier to imagine a plan's success than its many potential failures. This can lead us to underestimate the risks and overestimate our chances.

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Vivid Outcomes

Our judgments are influenced by the vividness and easiness with which we imagine scenarios. The more vivid and memorable the outcome, the more likely we are to overestimate its chance of happening.

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Non-Linear Probability Weighting

The decision weight we assign to a given probability is not linear. This means that a 90% chance doesn't feel nine times more likely than a 10% chance, as traditional utility theory would suggest.

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Prospect Theory: How We Make Decisions

Prospect theory proposes that we distort probabilities in our decisions; we judge outcomes relative to a reference point (like our current wealth) rather than in absolute terms.

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The 'pi' Function in Prospect Theory

The 'pi function' in prospect theory describes how we warp probabilities. We are most sensitive to changes near certainty (1) or impossibility (0), and less so in the middle range.

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The Certainty Effect

The certainty effect highlights our tendency to give more weight to sure outcomes (100% probability) than to outcomes with slightly lower probabilities (95%).

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Principle of Invariance vs. Framing Effect

The principle of invariance says that our choices should be consistent even if a situation is described differently. However, the 'framing effect' shows that how we frame a situation can influence our choices.

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Is The Certainty Effect Rational?

Why is the certainty effect potentially irrational? Because it makes us vulnerable to inconsistent decisions: we may prefer the same outcome based on how it's described.

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Loss Aversion: The Pain of Losing

Prospect theory highlights how we perceive losses as more impactful than gains. This is loss aversion.

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Risk-Seeking in the Face of Losses

We tend to be risk-seeking when facing potential losses, potentially making risky choices to avoid those losses. For example, a person facing a sure loss might gamble to avoid that loss.

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Risk-Aversion in the Face of Gains

We tend to be risk-averse when dealing with potential gains, preferring a sure gain over a gamble with the possibility of a larger gain. For example, we might choose a guaranteed $100 over a 50/50 chance of winning $200 or nothing.

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Independent Variables

Variables that are manipulated or selected by the experimenter to see their effect on the outcome. They are the 'cause' in a cause-and-effect relationship.

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Control Variables

Variables that are held constant across all conditions of an experiment to ensure a fair comparison. They are not the focus of the study but are controlled to minimize their influence.

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Dependent Variables

Variables that are measured by the experimenter as the outcome of the experiment. They are the 'effect' in a cause-and-effect relationship.

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Randomized Design

A type of experimental design where different groups of participants are randomly assigned to different conditions of the experiment.

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Repeated Measures Design

A type of experimental design where the same participants are exposed to all conditions of the experiment.

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Matched Groups Design

A type of experimental design where different groups of participants are matched on relevant characteristics before being assigned to different conditions. This ensures similarity between groups and reduces variability.

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Mixed Design

A type of experimental design that combines both randomized and matched groups. One independent variable is randomized, while another is matched across conditions.

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Repeated Measures ANOVA

A statistical technique used in repeated measures designs to analyze data where the same participants are involved in all conditions. It helps to control for individual differences and improve the accuracy of results.

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Random Groups Design

A research design where participants are randomly assigned to different groups, each receiving a different level of the independent variable. This helps ensure that any observed differences are due to the independent variable, not pre-existing differences between participants.

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Matched or Related Measures Design

A research design where the same participants are exposed to all levels of the independent variable. This eliminates individual differences as a source of variation, as each participant serves as their own control.

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Independent Groups t-test

A statistical test used to compare the means of two independent groups (e.g., reaction times of two groups receiving different treatments).

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Matched Pairs t-test

A statistical test used to compare the means of two related groups, where each participant is exposed to both conditions (e.g., comparing the performance of the same individual before and after a training program).

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Single-Factor Design

A research setup where one variable is manipulated with multiple levels, and participants are exposed to only one level.

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Factorial Design

Involves two or more independent variables, where each variable has multiple levels. Example: testing different drug types and dosages (like low, medium, high).

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Completely Randomized Design

A type of factorial design where participants are randomly assigned to different conditions, experiencing only one combination of independent variable levels. For example, testing recall of words under different conditions of imagery and frequency, but each participant sees only one combination.

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Completely Repeated Measures Design

A design where each participant is tested on all possible combinations of the independent variables. This is like the completely randomized design, but with every participant experiencing all conditions.

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One-Way ANOVA

Experimenting with a single independent variable (e.g., drug dosage) with multiple levels (low, medium, high).

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One-Way Repeated Measures ANOVA

Used to compare multiple conditions of the same independent variable, where each participant experiences all conditions. Example: examining memory performance before, during and after therapy.

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Interaction between variables

The effect of one independent variable changes depending on the level of the other independent variable. For example, salt's effect on taste depends on whether it's added to ice cream or pork roast.

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Inus condition

A condition that is both necessary and sufficient to cause an effect. We often don't know all the necessary factors, so we call them "Inus" conditions.

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Counterfactual

The knowledge of what would have happened to someone if they hadn't received a treatment. It's the opposite of what actually happened.

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Causal Relationship

A causal relationship exists if the cause happens before the effect, there's a connection between them, and no other explanation is plausible.

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Effect

The difference between what DID happen and what WOULD have happened if the cause hadn't occurred.

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Random-group independent variable

An independent variable that has multiple levels, each representing a different condition. Participants are assigned to only one level.

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Generalization

The ability to generalize findings from an experiment to other situations and populations. It's always an issue because experiments are done in controlled settings.

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Two-factor Experiment

The process of manipulating two independent variables to see if their effects on the dependent variable combine in a predictable way.

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Framing Effect

The idea that our choices are often influenced by how a situation is presented, rather than by its true objective value.

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Principle of Invariance

The idea that our choices are often influenced by how a situation is presented, even if the objective value is the same. This challenges the idea that choices are always rational.

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Experiment

A type of research study where the experimenter manipulates a variable (the cause) and observes the effect on another variable.

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Correlation

A relationship between two variables where they change together, but it doesn't mean one causes the other.

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Causal Experiment

A study designed to test a causal relationship by manipulating the presumed cause and observing the effect.

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Causal Description

Describing the clear and unambiguous consequence that occurs when a variable is changed.

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Causal Explanation

Explaining the underlying mechanisms and specific conditions that explain how a causal relationship works.

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Study Notes

Prospect Theory: Value Function

  • Value is measured relative to a reference point, unlike utility, which is based on current wealth.
  • Value functions are convex for losses (risk-taking) and concave for gains (risk aversion).
  • Loss aversion: the value function is steeper for losses than for gains. This means losses are felt more strongly than equivalent gains.

Expected Value vs. Prospect Theory

  • Expected value (EV): Outcome times probability of that outcome.
  • Neoclassical economics: Utility function based on current wealth level.
  • Prospect Theory: Value function based on changes from a reference point.

Key Findings and Examples

  • Problem 1: 90% chance of $1,000 vs. receiving $900 for sure. Most chose the sure thing ($900), reflecting risk aversion.
  • Problem 2: 90% chance of losing $1,000 vs. losing $900 for sure. Most chose the gamble (risk seeking). The psychological impact of losing $900 is greater than 90% of the psychological impact of losing $1,000 explains this.
  • Problem 3: 50% chance to win $1,000 vs. $500 for sure. Most chose sure thing ($500), reflecting risk aversion.
  • Problem 4: 50% chance to lose $1,000 vs. losing $500 for sure. Most chose the gamble. Loss aversion is evident.
  • Reference Point: The reference point is the current state or a prior outcome in a decision, influencing whether an outcome is seen as a gain or loss.

Diminishing Sensitivity

  • Loss and gain perceptions change based on the difference from the reference point. E.g., the difference between $900 and $1000 is less significant than the difference between $50 and $100.

Asian Disease Problem

  • Illustrates how framing effects (presenting options in terms of lives saved or lost) affect decision-making. The choices people make about saving lives or letting people die differ from each other.

Blind Spots of Prospect Theory

  • Probabilistic outcomes vs. sure outcomes. (e.g., getting $1 million is more appealing than getting a small amount with certainty).
  • Failure to factor in disappointment or regret on likely outcomes; if a gamble is lost, the loss is felt more strongly, influencing the decision-making.

Other key concepts

  • Loss Aversion: Losses loom larger than equivalent gains.
  • Reference Dependence: Decisions depend on a reference point (current state or prior outcome), not just the final outcome.
  • Framing Effects: How options are presented affects choices.
  • Regret: The potential for regret to influence decisions when a gamble is taken or avoided.
  • Denominator Neglect: The impact is greater when a rare event is framed in a way that makes it seem more likely (e.g., stating the risk of a permanent disability as “one in 100,000” versus “a 0.001% risk”).
  • Certainty Effect: People tend to overweight outcomes that are certain compared to those with a probabilistic chance of the same outcome.
  • Vivid Outcomes: Vivid or emotionally charged outcomes influence decisions more heavily than less emotive ones.
  • Choice over description: When choices are framed in terms of possible gains, people tend to be risk averse, but when choices are framed in terms of losses, people tend toward risk seeking.

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Related Documents

Prospect Theory PDF
Behavioral Science S1 PDF

Description

Explore the concepts of Prospect Theory, focusing on how value is determined relative to a reference point and the implications of loss aversion. This quiz examines key findings through practical examples that illustrate risk preferences when faced with uncertain outcomes.

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