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Linear equations for the development of non‐normalized T‐score tables based on the contemporary normative study of the MMPI
Author(s) -
Osborne David,
Colligan Robert C.
Publication year - 1986
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/1097-4679(198605)42:3<482::aid-jclp2270420313>3.0.co;2-f
Subject(s) - minnesota multiphasic personality inventory , normative , percentile rank , psychology , percentile , personality , personality test , psychometrics , clinical psychology , rank (graph theory) , personality assessment inventory , statistics , econometrics , social psychology , mathematics , test validity , political science , combinatorics , law
In the contemporary normative study of the Minnesota Multiphasic Personality Inventory (MMPI), the authors recommended the use of normalized T scores so that a given T score would have an equivalent percentile rank across all clinical scales. However, the use of normalized T scores has been debated in the literature. This article presents linear transformation equations that can be used to produce non‐normalized T scores similar to those traditionally used on MMPI profiles but based on data from the contemporary normative study of the MMPI. Use of these equations will facilitate comparisons between normalized and non‐normalized scores.