Related Experiment Video
Updated: Aug 10, 2026

07:47
Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
Measures of deficit unawareness for predicted performance experiments
1Department of Statistics, University of Arizona, Tucson 85721, USA.
Summary
This study explores how individuals with cognitive deficits perceive their own abilities. It proposes a new quantitative method to better measure unawareness of these deficits.
Area of Science:
- Cognitive Psychology
- Neuropsychology
- Psychometrics
Background:
- Individuals with cognitive impairments often exhibit unawareness of their deficits.
- Predicted performance experiments assess this unawareness by comparing self-predictions to actual performance.
- Existing methods, like McGlynn and Kaszniak's, have limitations in fully quantifying deficit awareness.
Purpose of the Study:
- To critically evaluate the quantitative analysis methods for predicted performance experiments.
- To identify limitations in the McGlynn and Kaszniak (1991b) approach to measuring deficit unawareness.
- To propose a more effective measure for assessing unawareness of cognitive deficits.
Main Methods:
- Review and analysis of quantitative methods used in predicted performance experiments.
- Identification of confounding factors and limitations in current measures of deficit unawareness.
- Development and proposal of a novel quantitative approach to deficit awareness measurement.
Main Results:
- The McGlynn and Kaszniak (1991b) experiment, while comprehensive, has limitations in its analytical approach.
- Current quantitative methods may not fully capture the nuances of deficit unawareness.
- A more refined measure is needed to accurately quantify an individual's awareness of their cognitive impairments.
Conclusions:
- There is a need for improved quantitative methods in predicted performance experiments.
- The proposed measure offers a more satisfying approach to assessing deficit unawareness.
- Accurate measurement of deficit awareness is crucial for understanding and managing cognitive impairments.

