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Updated: Jul 24, 2026

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Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
Delayed matching to sample: the effects of sample-set size on human performance
1Department of Psychology, University of Waikato, Private Bag 3105, Hamilton, New Zealand
Behavioural Processes
|August 3, 2000
Summary
Student performance on a delayed-matching-to-sample task (DMST) declined with increased delay and sample-set size. Discrimination at zero delay decreased most with four samples, suggesting proactive interference impacts accuracy.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Behavioral Science
Background:
- Assessing discriminative performance is crucial for understanding cognitive processes.
- The delayed-matching-to-sample task (DMST) is a standard method for evaluating memory and discrimination.
- Previous research has yielded mixed results regarding the impact of sample-set size on DMST performance.
Purpose of the Study:
- To investigate the effects of delay duration and sample-set size on discriminative performance in a DMST.
- To quantify the relationship between these variables using exponential functions.
- To reconcile conflicting findings in prior research on sample-set size effects.
Main Methods:
- Participants completed a computer-based DMST using disk stimuli.
- Stimulus parameters (delay, sample-set size) were systematically varied.
- Accuracy was measured at delays of 0.05 to 16 seconds and sample-set sizes of 1 to 32.
Main Results:
- Accuracy decreased significantly with increasing delay and sample-set size.
- No significant interaction was found between delay and sample-set size.
- Exponential functions revealed that discrimination at zero delay (a) decreased with increasing samples, while the rate of performance decrement (b) remained stable.
Conclusions:
- The impact of sample-set size on DMST performance is dependent on the range of set sizes examined.
- Findings suggest proactive interference may explain accuracy decreases with larger sample sets.
- Results offer a potential explanation for discrepancies in previous research findings.

