Related Experiment Video
Updated: Jul 12, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Measuring people's covariational reasoning in Bayesian situations
Nicole Steib1, Stefan Krauss1, Karin Binder2
1Mathematics Education, Faculty of Mathematics, University of Regensburg, Regensburg, Germany.
Abstract:
Previous research on Bayesian reasoning has typically investigated people's ability to assess a posterior probability (i.e., a positive predictive value) based on prior knowledge (i.e., base rate, true-positive rate, and false-positive rate). In this article, we systematically examine the extent to which people understand the effects of changes in the three input probabilities on the positive predictive value, that is, covariational reasoning. In this regard, two different operationalizations for measuring covariational reasoning (i.e., by single-choice vs. slider format) are investigated in an empirical study with N = 229 university students. In addition, we aim to answer the question wheter a skill in "conventional" Bayesian reasoning is a prerequisite for covariational reasoning.
More Related Videos
Related Concept Videos
Deductive Reasoning
For example, a researcher can deduce specific predictions...
Inductive Reasoning
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Reasoning
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
Contingency Table
Criteria for Causality: Bradford Hill Criteria - II
Causality in Epidemiology

