Related Experiment Video
Updated: Dec 24, 2025

13:04
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
12.3K
Pseudocontingency inference and choice: The role of information sampling
Franziska M Bott1, Thorsten Meiser1
1Department of Psychology.
Summary
Pseudocontingency inference influences choice behavior, especially when individuals freely sample information. Self-determined information sampling in positive contexts leads to suboptimal choices based on skewed base rates.
Area of Science:
- Cognitive Psychology
- Decision Making
- Behavioral Economics
Background:
- Pseudocontingencies are inferred correlations based on skewed base rates across a third variable.
- Previous research primarily used predetermined learning trials to study pseudocontingency effects.
- Understanding pseudocontingency's impact on choice behavior is crucial for predicting decision-making.
Purpose of the Study:
- To investigate the effect of pseudocontingency inference on choice behavior.
- To compare the role of free information sampling versus predetermined learning in pseudocontingency effects.
- To examine pseudocontingency inference in bivariate and trivariate scenarios.
Main Methods:
- Replication of previous findings on pseudocontingency effects in choice behavior (Experiment 1).
- Comparison of predetermined information versus free information sampling in a bivariate decision scenario (Experiment 2).
- Investigation of pseudocontingency inference through context-based and context-and-option-based information sampling in trivariate scenarios (Experiments 3 & 4).
Main Results:
- Pseudocontingency effects were replicated.
- An asymmetry was observed between positive (gains) and negative (losses) contexts.
- In positive contexts with self-determined information sampling, participants preferred the predominant option, indicating suboptimal choices.
Conclusions:
- Self-determined information sampling significantly influences pseudocontingency effects on choice behavior.
- The findings highlight the impact of context (gains vs. losses) on decision-making under pseudocontingency.
- Understanding these biases is essential for designing more effective decision support systems.
More Related Videos
Related Concept Videos
Convenience Sampling Method
10.8K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
10.8K
Random Sampling Method
14.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
14.0K
Contingency Table
3.6K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
3.6K
Stratified Sampling Method
14.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
14.4K
Sampling Plans
809
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
809
Bias
7.2K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.2K

