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Cognitive Psychology
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JoVE Science Education Cognitive Psychology
Prospect Theory
  • 00:00Overview
  • 01:31Experimental Design
  • 03:14Running the Experiment
  • 04:14Representative Results
  • 04:58Applications
  • 06:07Summary

전망 이론

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Overview

출처: 조나단 플롬바움 연구소 -존스 홉킨스 대학

달러의 가치는 무엇입니까? 거래를 용이하게 하기 위해 통화 매장 가치. 모든 경제 거래에 내재된 것은 통화 단위의 가치입니다. 그러나 달러의 주관적인 가치는 무엇입니까? 오랫동안 경제학자들은 이 질문에 대한 답을, 특히 달러가 시장에서 결정된 가치를 가지고 있으며 달러의 주관적인 가치는 항상 그 다소 적다는 것을 가정했습니다.

1970년대 초부터 실험 심리학자인 다니엘 카네만과 아모스 트베르스키는 통화의 주관적인 가치가 손실이나 이익이 논의되고 있는지, 그리고 거래의 전반적인 규모에 따라 달라지는 것을 보여주며 이 가정을 뒤집었다. 직관을 펌핑하려면 대부분의 사람들에게 가스 갤런에 $ 2를 절약하기 위해 추가 반 마일을 운전하는 것이 합리적일 것이라는 사실을 고려하십시오. 그러나 거의 사람들이 새 자동차의 비용에 $ 2를 절약하기 위해 같은 작업을 수행 할 것입니다. 그래서 $2 때때로, 하지만 항상 여분의 반 마일 드라이브 가치가. 값은 컨텍스트에 따라 다릅니다.

Kahneman과 Tversky가 고안한 이론은 사람들이 어떻게 심리적으로 통화(그리고 상품과 서비스, 일반적으로)를 가치 있게 평가하는지 설명합니다. 2002년, Kahneman은 경제 의사 결정을 이해하기 위해 실험 심리학의 방법과 이론을 이용한 관련 연구와 함께 노벨 전망 이론 경제학상을 수상했습니다(Tversky는 1996년에 세상을 떠났습니다).

잠재 전망 이론의 주요 의미의 대부분은 설문 조사 실험을 통해 얻어졌다. 설문 조사는 도박 사이의 선택으로 구성; 예를 들어, 과목은 $5를 받는 것을 선호할지 아니면 $10의 당첨 확률로 아무것도 받지 못할 위험이 있는지 물어볼 수 있습니다.

이 비디오는 잠재 고객 이론 에 대한 연구에 사용되는 설문 조사 질문유형을 설계하는 절차를 보여줍니다.

Procedure

1. 자극 설계 옵션이 결과와 확률을 알고 있는 경우 경제학자들은 각 선택의 가치를 각 확률에 의해 가중치가 있는 결과의 평균으로 설명합니다. 예를 들어, $ 5의 보장 된 승리는 $ 5의 예상 값을 가지고 있으며, $ 10, 50 %의 시간 (그리고 시간의 나머지 50 %를 지불하지 않는 도박)도 $ 5 : 0.5 x 0 + 0.5 x 10 = 5의 예상 값을 가지고 있습니다. 프로스펙트 이론을 연구하기 위해 적절한 ?…

Results

There are several classic effects that arise in these surveys. Figure 1 illustrates one effect, sometimes known as loss aversion. People seem to place a greater subjective value on losses than on gains of equivalent value. For question 1, between 60-80% of participants will typically choose A, while the same proportion will choose B for question 2. A 50% gamble seems worth the risk to avoid a debt of $5, but not to earn an extra $5. $5 is subjectively more valuable when it is a loss.

Figure 2 illustrates two more typical effects, associated with certainty and large numbers. In question 1, the participant chooses between a guaranteed win of $10,000 or a 90% chance of winning $11,167. 90% is a good bet, and a payout of $11,167 gives that bet an expected value of $10,050. Still, almost no one picks the bet, revealing a baseline preference for certain outcomes. Question 2 sets up a very similar situation, but with much smaller numbers: a guaranteed win of $5 compared to a 0.9 chance of winning $67. Note that choice B produces an expected value of $55–$50 more than the guaranteed win. Here, a majority of participants choose B, forgoing a certain win for a chance to win an extra $50 (on average). But they don’t do the same with question 1. To an economist, $50 is worth $50. If a person takes a risk to win it in one place, they should do the same in another. But, psychologically, it turns out that $50 added to $10,000 is worth less than $50 added to $5.

Figure 2
Figure 2. Two gambles that demonstrate the effects of certainty and large numbers on subjective value. In (1), choice B has an expected value of $10,050, $50 more than the guaranteed win in choice A. Yet people overwhelmingly tend to choose A. In (2), the gamble in choice B again has an expected value that is $50 more than the certain outcome in choice A. But here, people overwhelmingly choose B. $50 in expected value seems worth the risk when it will be added to $5, but not when it will be added to $10,000. The subject value of $50 is smaller when it is framed in relation to a large number.

Based on hundreds of comparative gambles of this kind, in experiments spanning gains and losses, large and small numbers, and even using real (as opposed to hypothetical) payouts, Kahneman and Tversky developed the now famous and influential Prospect Theory curve (Figure 3). The curve relates subjective value to actual value in terms of gains and losses. Figure 4 emphasizes two main properties of the curve, rational subjective value placed on small gains—that is, small gains subjectively valued equivalently to their actual value—and an overestimation of small loses. Figure 5 emphasizes two more properties of the curve, diminishing subject value as actual value increases for already large gains or losses.

Figure 3
Figure 3. Based on their experiments, Kahneman and Tversky devised the descriptive Prospect Theory value function. The x-axis denotes the actual value of gains and losses, and the y-axis denotes the psychological value attributed subjectively.

Figure 4
Figure 4. Drawing a straight line through the origin helps to emphasize the ways that the Prospect Theory function deviates from what were previously the assumptions of economists. The straight line reflects a one-to-one correspondence between actual and subjective value. Small gains are valued appropriately. But small losses are overvalued subjectively.

Figure 5
Figure 5. Prospect Theory value function. Both large gains and losses are relatively undervalued.

Applications and Summary

Prospect Theory has had wide ranging implications and applications. That is why Kahneman was ultimately awarded the Nobel Prize.

For example, Prospect Theory explains a lot of gambling behavior, such as the tendency of people to continue gambling when they have losses. Even small losses loom large, subjectively, and it makes people willing to take risks they would not normally take when given the prospect of erasing a loss. But this usually has the effect of producing larger and larger debts. As a result, Prospect Theory has implications for preventing pathological gambling.

It also has had an enormous impact on marketing. For example, it explains the effectiveness of “loss leaders.” Stores will often advertise relatively large discounts on cheaper items—$20 off before Christmas on an item that normally costs $40. The item may even sell at a loss, a negative profit margin for the store, but the hope is that the discount will be perceived as larger than it actually is, so consumers will subjectively value it as worth more than $20, owing to it being a discount. That will drive them to the store, where they might spend more on high margin and big-ticket items: TVs, stereos, and the like. Imagine if the store offered a $20 discount on a $2000 TV instead. Would anyone rush to that particular store?

Transcript

“Prospect Theory” was devised by Daniel Kahneman and Amos Tversky, beginning in the 1970s, as a way to describe how people psychologically value currency.

On one hand, any unit of currency-like the US dollar-has an objective value, determined by the market. If a person is preparing to travel abroad and exchanging currency, it is this objective value that will dictate how many euros they can expect to receive for fifty dollars.

However, currency can also have a subjective, psychological value, which a person “assigns” to it based on many different factors, including the size of the purchase they are considering and potential relative savings.

To elaborate, a person may be willing to drive an extra mile to save two dollars on every gallon of gas, but not to save the same amount on a new, $20,000 car. Thus, two dollars is sometimes-but not always-worth an extra mile trip.

Originally formulated using survey data, Prospect Theory provides researchers with a model to predict an individual’s subjective perceptions of objective monetary gains or losses.

In this video, you will learn how to create survey questions to study Prospect Theory, collect and analyze participant data in the form of survey responses, and learn how these can provide insight into the psychological value people place on currency.

In this experiment, participants complete a survey with questions pertaining to gambles-theoretical events in which they could potentially lose or gain a sum of money.

In questions dealing with gains, a scenario is presented where the participant has already received money-like winning five dollars in a raffle.

The participant must then choose between two options as to what to do with the sum: either keep all of it, or risk it for a chance to win a higher amount.

Similarly, when a participant encounters a loss question, they must pick between options of paying a debt, or risking a greater loss for a chance to have the debt erased.

The trick here is that both options to a question have the same expected value-the average amount of money gained or lost over several trials-which takes into account the probability of a win or loss.

It’s the manner in which these values are presented-either as “sure things” or “risks” with a lower probability of success-which allows for an assessment of the subjective, psychological value of currency.

Participants are presented with a variety of such questions in a survey, where the probabilities of gains or loses-as well as the actual monetary amounts at stake-vary.

Here, the dependent variable is the subjective value of currency, which is determined by calculating the percentage of participants that chose a particular option to a question.

Based on the previous work of Kahneman and Tversky, it is expected that participants will overestimate the subjective value of monetary losses, especially small ones, viewing them as worth more than their actual, objective values.

To begin, create a survey with roughly 20 questions, and include questions dealing with diverse loss and gain scenarios.

Verify that both options associated with each question demonstrate the same expected value, as well as a range of monetary values with risks associated with different probabilities.

Before distributing the survey to participants, generate a cover page to include with informed consent, which explains to participants that they do not have to complete the questions, and that their responses are anonymous. Make sure to include a signature line for participants to indicate their consent.

Once the survey is finalized, distribute it to between 50 and 100 randomly selected participants. Note that individuals can be tested in groups. Allow them 15 min to complete the 20 questions.

When the participants are done, collect the surveys.

To analyze the data, for every question calculate the percentage of participants that chose each option-either A or B.

Compare participant preferences in similar questions, such as those dealing with small sums of money either lost or won.

Notice that more participants will tend to take a risk to avoid a financial loss compared to an equivalent gain, meaning that a greater subjective value is placed on monetary losses.

Also notice that participants will be less likely to risk large sums in gain scenarios, indicating that their subjective value of monetary gains can decrease depending on the context.

Now that you’ve learned how to create surveys to study Prospect Theory, let’s take a look at how experimental psychologists are using this theory to investigate aspects of decision-making behavior.

As surveys that assess Prospect Theory deal with monetary losses and gains, these studies can aid our understanding of the psychological underpinnings of gambling and gambling addiction.

Importantly, such work has allowed researchers to connect the high subjective value of monetary losses to the tendency to keep gambling even as debts mount.

Researchers can also pair automated variations of Prospect Theory surveys with technologies like functional MRI, which can identify “activated” brain regions. This helps scientists determine the neuroanatomical basis for how participants assign subjective values to monetary sums under different situations.

Finally, Prospect Theory can also be used to develop new marketing strategies, such as stores offering perceived discounts on lower-priced items, to which consumers would assign high subjective values.

You’ve just watched JoVE’s video on Prospect Theory. By now, you should have an idea of how to design survey questions to investigate this phenomenon, collect and analyze participants’ responses, and relate the Prospect Theory to human behaviors like gambling.

In addition, you should have a grasp of how the Prospect Theory relates to the subjective and objective values of currency, which are not always the same.

Thanks for watching!

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JoVE Science Education Database. JoVE Science Education. Prospect Theory. JoVE, Cambridge, MA, (2023).