Related Experiment Video
Updated: Jun 3, 2025
08:12
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
2.4K
Modeling dependent group judgments: A computational model of sequential collaboration
1Leibniz-Institut für Wissensmedien (Knowledge Media Research Center), Tübingen, Germany. maren.mayer@iwm-tuebingen.de.
Psychonomic Bulletin & Review
|January 6, 2025
Summary
Sequential collaboration enhances group judgment accuracy over time, even surpassing the wisdom of crowds. This online contribution method allows experts to refine judgments, leading to more accurate collective outcomes.
Area of Science:
- Cognitive Science
- Social Psychology
- Computational Modeling
Background:
- Sequential collaboration involves incremental contributions to online projects like Wikipedia.
- Previous studies show sequential chains reduce change frequency and increase judgment accuracy.
- Expertise influences selective adjustments in sequential judgment tasks.
Purpose of the Study:
- To develop a formal computational model of sequential collaboration.
- To formalize the cognitive processes underlying sequential judgment formation.
- To benchmark sequential collaboration against independent judgments.
Main Methods:
- Developed a computational model simulating sequential and independent judgments.
- Model incorporates individual expertise, adjustment tendencies, item difficulty, and judgment effects.
- Empirical study validated model predictions for long sequential chains.
Main Results:
- Model accurately predicts empirical findings on change probability, magnitude, and accuracy.
- Expertise is identified as a key driver of accuracy in sequential collaboration.
- Judgments in long sequential chains were confirmed to be highly accurate.
Conclusions:
- The developed model provides a formal theory for sequential collaboration.
- Sequential collaboration can yield judgments as accurate or more accurate than the wisdom of crowds.
- The model offers a framework for future research on dependent judgments.
Related Concept Videos
01:14Decision Making: Traditional Method
4.0K
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...
4.0K
01:34Groupthink
44.1K
When in group settings, we are often influenced by the thoughts, feelings, and behaviors around us. Groupthink is another phenomenon of conformity where modification of the opinions of members in a group aligns with what they believe is the group consensus (Janis, 1972). In such situations, the group often takes action that individuals would not perform outside the group setting because groups make more extreme decisions than individuals do. Moreover, groupthink can hinder opposing trains of...
44.1K
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40
01:24One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
382
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
382
01:16Deductive Reasoning
54.9K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
For example, a researcher can deduce specific predictions...
54.9K
01:21Friedman Two-way Analysis of Variance by Ranks
144
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
144