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Normative data for eight neuropsychological tests based on a Danish sample.

H Nielsen, L Knudsen, O Daugbjerg

Scandinavian Journal of Psychology

|January 1, 1989

Summary

This study provides normative neuropsychological data for adults aged 20-54. Regression analyses identified key factors influencing cognitive test performance, aiding clinical interpretation.

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Area of Science:

Neuropsychology
Cognitive Psychology
Psychometrics

Background:

Establishing normative data is crucial for accurate neuropsychological assessment.
Previous research has not comprehensively addressed normative data across a broad adult age range using a standardized battery.
Subtle changes in cognitive function require sensitive and reliable measurement tools.

Purpose of the Study:

To establish normative neuropsychological data for adults aged 20-54 years.
To investigate the influence of demographic variables (age, education, social status) on neuropsychological test performance.
To identify clinically applicable linear relationships between demographic factors and cognitive measures.

Main Methods:

A sample of 101 adults (aged 20-54) was assessed using a battery of neuropsychological tests, including WAIS-R subtests, Trail-Making Test, and Verbal Fluency.

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The sample was divided into three age groups for analysis.

Linear regression analyses were employed to examine the relationship between demographic variables and neuropsychological test scores.

Main Results:

Normative data (mean, standard deviation, range) were calculated for each test within the age groups.
Significant linear relationships were found between demographic variables (Information, Vocabulary, education, social status, and age in older adults) and neuropsychological test performance.
These relationships explained a significant portion of the variance in test scores.

Conclusions:

The study provides valuable normative data for a comprehensive neuropsychological test battery in adults.
Demographic factors significantly influence cognitive performance, necessitating their consideration in test interpretation.
The identified regression models offer a basis for more precise clinical application of neuropsychological assessments.