Related Experiment Video
Updated: Feb 4, 2026

09:04
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
3.7K
Low and variable correlation between reaction time costs and accuracy costs explained by accumulation models:
Craig Hedge1, Georgina Powell1, Aline Bompas1
1School of Psychology.
Psychological Bulletin
|September 29, 2018
Summary
Cognitive task performance often uses reaction time (RT) and error costs interchangeably. A meta-analysis reveals a weak association between RT and error costs, challenging common assumptions in cognitive psychology research.
Area of Science:
- Cognitive psychology
- Individual differences research
- Psychometric methods
Background:
- Task performance is often used to measure cognitive abilities and psychological processes.
- Reaction time (RT) costs and error costs are frequently used interchangeably to infer cognitive processes.
- A key assumption is a strong correlation between RT and error costs within the same task.
Purpose of the Study:
- To investigate the empirical relationship between reaction time (RT) costs and error costs across various cognitive tasks.
- To test the assumption of a strong correlation between RT and error costs in cognitive individual differences research.
Main Methods:
- A meta-analysis was conducted on 114 effects from established cognitive tasks.
- Data from tasks like Stroop, implicit association task, and flanker were synthesized.
- The study analyzed the correlation between RT costs and error costs.
Main Results:
- A general pattern of weak or no association was found between RT costs and error costs (mean r = .17).
- Evidence accumulation models explain this weak correlation through differences in accumulation rate and response threshold.
- Subtractions between conditions may not isolate processing costs from response caution.
Conclusions:
- The choice between using RT costs or error costs has significant theoretical implications.
- Evidence accumulation models provide a framework for understanding the dissociation between RT and error costs.
- Reinterpreting cognitive task performance measures within decision models is crucial for accurate inferences about cognitive abilities.
Related Concept Videos
Variability: Analysis
519
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
519
Correlations
36.1K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.1K
Drug Concentration Versus Time Correlation
2.2K
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
2.2K
Correlation and Causation
42.8K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.8K
Improving Translational Accuracy
14.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.9K
Uncertainty in Measurement: Accuracy and Precision
101.8K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
101.8K

