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The random number generation task: psychometric properties and normative data of an executive function task in a
Maarten Peters1, Timo Giesbrecht, Marko Jelicic
1Department of Experimental Psychology, Maastricht University, Maastricht, The Netherlands. m.peters@psychology.unimaas.nl
The random number generation (RNG) task shows modest psychometric properties, primarily measuring executive functions like inhibition and monitoring. This task is sensitive to deficits seen in schizophrenia patients.
Area of Science:
- Psychology
- Neuroscience
- Psychiatry
Background:
- The random number generation (RNG) task is used to assess executive functions.
- Its psychometric properties and clinical utility require further investigation.
Purpose of the Study:
- To evaluate the psychometric properties of the RNG task.
- To examine its construct validity and test-retest reliability.
- To assess its performance in healthy adults and patients with schizophrenia.
Main Methods:
- Four studies were conducted with young adults, middle-aged adults, and schizophrenia patients.
- Factor analysis was used to determine the task's structure.
- Test-retest reliability and correlations with neurocognitive tasks (e.g., Stroop test) were assessed.
Main Results:
- A three-factor solution (seriation, repetition, cycling) best described the RNG task.
- The seriation factor demonstrated acceptable test-retest stability.
- RNG performance correlated with executive functions and was poorer in schizophrenia patients compared to controls.
Conclusions:
- The RNG task possesses modest to acceptable psychometric properties.
- It effectively measures executive subfunctions, including inhibition, updating, and monitoring.
- These functions are often impaired in psychopathological and neurological conditions.
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