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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

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Initial construct validation of frequently employed ANAM measures through structural equation modeling.

Paul Short¹, Alison Cernich, Jeffrey A Wilken

¹University of Maryland Medical Center, United States. psychwala@verizon.net

Archives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists

|December 6, 2006

Summary

Automated Neuropsychological Assessment Metrics (ANAM) effectively assess attention, processing efficiency, and working memory. Further research with larger samples is recommended for validating these neurocognitive functions.

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Area of Science:

Neuroscience
Cognitive Psychology
Psychometrics

Background:

The Automated Neuropsychological Assessment Metrics (ANAM) are utilized in clinical and performance evaluations.
Understanding the specific neurocognitive functions assessed by ANAM is crucial for accurate interpretation.

Purpose of the Study:

To review data from studies that delineate specific neurocognitive functions assessed by commonly used ANAM measures.
To synthesize findings from exploratory and confirmatory analyses of ANAM data.

Main Methods:

Review of existing literature and data from studies employing ANAM measures.
Analysis of both exploratory and confirmatory data to assess neurocognitive functions.

Main Results:

Current findings support the utility of ANAM measures for evaluating attention.
ANAM measures demonstrate effectiveness in assessing processing efficiency.
Evidence supports the use of ANAM for evaluating working memory capacity.

Conclusions:

ANAM measures are valuable tools for assessing key aspects of neurocognition, including attention, processing efficiency, and working memory.
Future research should focus on larger sample sizes and the integration of specific marker variables to enhance the validity and scope of ANAM assessments.