Process scores on measures of learning and memory: Issue 1.
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| Title: | Process scores on measures of learning and memory: Issue 1. |
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| Authors: | Hammers, Dustin B. (AUTHOR), Calamia, Matthew (AUTHOR) |
| Source: | Journal of Clinical & Experimental Neuropsychology. Sep2023, Vol. 45 Issue 7, p647-651. 5p. |
| Subjects: | Cancer fatigue, Executive function, Epilepsy, Recollection (Psychology) |
| Abstract: | The Journal of Clinical & Experimental Neuropsychology has published a special issue on process scores in learning and memory measures. The issue includes articles on topics such as semantic clustering, proactive interference, Bayesian process modeling, and learning slopes. One article reviews the literature on semantic clustering and its association with cognitive performance, while another examines patterns of proactive interference in learning. A third article explores the use of Bayesian statistics to understand uncertainty in verbal memory evaluations. Additionally, there are articles on the validity of learning slopes and their relationship to Alzheimer's disease biomarkers. The issue highlights the potential of process scores to enhance clinical decision-making and improve diagnosis and treatment strategies. [Extracted from the article] |
| Copyright of Journal of Clinical & Experimental Neuropsychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | The Journal of Clinical & Experimental Neuropsychology has published a special issue on process scores in learning and memory measures. The issue includes articles on topics such as semantic clustering, proactive interference, Bayesian process modeling, and learning slopes. One article reviews the literature on semantic clustering and its association with cognitive performance, while another examines patterns of proactive interference in learning. A third article explores the use of Bayesian statistics to understand uncertainty in verbal memory evaluations. Additionally, there are articles on the validity of learning slopes and their relationship to Alzheimer's disease biomarkers. The issue highlights the potential of process scores to enhance clinical decision-making and improve diagnosis and treatment strategies. [Extracted from the article] |
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| ISSN: | 13803395 |
| DOI: | 10.1080/13803395.2024.2307219 |
