Related Experiment Video
Updated: Jun 7, 2026

07:05
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
Published on: September 10, 2018
Prospects behind bars: analyzing decisions under risk in a prison population.
Thorsten Pachur1, Yaniv Hanoch, Michaela Gummerum
1University of Basel, Basel, Switzerland.
Psychonomic Bulletin & Review
|November 2, 2010
Summary
Criminals exhibit distinct risk attitudes compared to non-criminals. Prisoners show increased risk-seeking for losses but decreased risk-seeking for high-probability gains, indicating altered decision-making processes.
Area of Science:
- Psychology
- Behavioral Economics
- Criminology
Background:
- Criminal behavior is often associated with risk-taking, yet empirical data on risk attitude differences between criminals and non-criminals are scarce.
- The psychological factors influencing these risk attitude variations remain poorly understood, necessitating further investigation into decision-making processes.
Purpose of the Study:
- To investigate and compare the risk attitudes of prisoners and non-prisoners.
- To elucidate the psychological underpinnings of observed differences in risk-taking behavior using a formal decision-making model.
Main Methods:
- Utilized cumulative prospect theory (CPT) to model decision-making in response to risky choice tasks.
- Presented matched groups of prisoners and non-prisoners with scenarios involving potential gains and losses.
Main Results:
- Prisoners demonstrated greater risk-seeking in loss-related lotteries but less risk-seeking in high-probability gain lotteries compared to controls.
- Analysis revealed prisoners exhibited reduced sensitivity to outcomes (gains and losses) and heightened loss aversion.
- A diminished sensitivity to the probability of gains was also observed in the prisoner group.
Conclusions:
- Significant differences in risk attitude exist between prisoners and non-prisoners, particularly in how they evaluate potential gains and losses.
- Findings suggest altered cognitive mechanisms, including outcome sensitivity and loss aversion, underlie criminal risk-taking behavior.
- Understanding these psychological distinctions can inform the development of more effective crime prevention and intervention strategies.
Related Concept Videos
The Stanford Prison Experiment
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.
Decision Making: P-value Method
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Introduction To Survival Analysis
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
The primary goal of survival analysis is to estimate survival time—the time until a...
Decision Making
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: Traditional Method
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Probability in Statistics
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
