Linear versus normalized T scores as standardized neuropsychological test scores

Research output: Contribution to journalJournal articlepeer-review

Standard

Linear versus normalized T scores as standardized neuropsychological test scores. / Mortensen, E L; Gade, A.

In: Scandinavian Journal of Psychology, Vol. 33, No. 3, 09.1992, p. 230-7.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Mortensen, EL & Gade, A 1992, 'Linear versus normalized T scores as standardized neuropsychological test scores', Scandinavian Journal of Psychology, vol. 33, no. 3, pp. 230-7. https://doi.org/10.1111/j.1467-9450.1992.tb00912.x

APA

Mortensen, E. L., & Gade, A. (1992). Linear versus normalized T scores as standardized neuropsychological test scores. Scandinavian Journal of Psychology, 33(3), 230-7. https://doi.org/10.1111/j.1467-9450.1992.tb00912.x

Vancouver

Mortensen EL, Gade A. Linear versus normalized T scores as standardized neuropsychological test scores. Scandinavian Journal of Psychology. 1992 Sep;33(3):230-7. https://doi.org/10.1111/j.1467-9450.1992.tb00912.x

Author

Mortensen, E L ; Gade, A. / Linear versus normalized T scores as standardized neuropsychological test scores. In: Scandinavian Journal of Psychology. 1992 ; Vol. 33, No. 3. pp. 230-7.

Bibtex

@article{50a5e9e3ea4d44d8aad8030b71775221,
title = "Linear versus normalized T scores as standardized neuropsychological test scores",
abstract = "In this paper we present and discuss standardized T score systems for neuropsychological test data. Both linear and normalized T scores were calculated for 141 normal subjects and a group of 141 patients with diffuse or focal brain damage. Many standard neuropsychological tests have skewed raw score and linear T score distributions, and we argue that normalized T scores have practical advantages because they permit simple descriptions of both patient groups and individual test score distributions. We also argue that skewness can be partially explained by ceiling effects and other test construction artefacts and that skewed raw score distributions do not necessarily reflect skewed distributions of the underlying mental abilities. Consequently, use of normalized T scores seems appropriate in many research and clinical contexts.",
keywords = "Adult, Aged, Female, Humans, Intelligence, Intelligence Tests, Male, Middle Aged, Neuropsychological Tests",
author = "Mortensen, {E L} and A Gade",
year = "1992",
month = sep,
doi = "10.1111/j.1467-9450.1992.tb00912.x",
language = "English",
volume = "33",
pages = "230--7",
journal = "Scandinavian Journal of Psychology",
issn = "0036-5564",
publisher = "The Scandinavian Psychological Associations",
number = "3",

}

RIS

TY - JOUR

T1 - Linear versus normalized T scores as standardized neuropsychological test scores

AU - Mortensen, E L

AU - Gade, A

PY - 1992/9

Y1 - 1992/9

N2 - In this paper we present and discuss standardized T score systems for neuropsychological test data. Both linear and normalized T scores were calculated for 141 normal subjects and a group of 141 patients with diffuse or focal brain damage. Many standard neuropsychological tests have skewed raw score and linear T score distributions, and we argue that normalized T scores have practical advantages because they permit simple descriptions of both patient groups and individual test score distributions. We also argue that skewness can be partially explained by ceiling effects and other test construction artefacts and that skewed raw score distributions do not necessarily reflect skewed distributions of the underlying mental abilities. Consequently, use of normalized T scores seems appropriate in many research and clinical contexts.

AB - In this paper we present and discuss standardized T score systems for neuropsychological test data. Both linear and normalized T scores were calculated for 141 normal subjects and a group of 141 patients with diffuse or focal brain damage. Many standard neuropsychological tests have skewed raw score and linear T score distributions, and we argue that normalized T scores have practical advantages because they permit simple descriptions of both patient groups and individual test score distributions. We also argue that skewness can be partially explained by ceiling effects and other test construction artefacts and that skewed raw score distributions do not necessarily reflect skewed distributions of the underlying mental abilities. Consequently, use of normalized T scores seems appropriate in many research and clinical contexts.

KW - Adult

KW - Aged

KW - Female

KW - Humans

KW - Intelligence

KW - Intelligence Tests

KW - Male

KW - Middle Aged

KW - Neuropsychological Tests

U2 - 10.1111/j.1467-9450.1992.tb00912.x

DO - 10.1111/j.1467-9450.1992.tb00912.x

M3 - Journal article

C2 - 1488647

VL - 33

SP - 230

EP - 237

JO - Scandinavian Journal of Psychology

JF - Scandinavian Journal of Psychology

SN - 0036-5564

IS - 3

ER -

ID: 275943404