Factoring Handedness Data: II. Geschwinds Multidimensional Hypothesis

The challenge in this journal by Peters and Murphy to the validity of two published factor analyses of handedness data because of bimodality was dealt with in Part I by identifying measures to normalize the handedness item distributions. A new survey using Oldfields questionnaire format had 38 bell-...

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Veröffentlicht in:Cortex 1996-06, Vol.32 (2), p.375-381
Hauptverfasser: Messinger, Harley B., Messinger, Margaret I.
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description The challenge in this journal by Peters and Murphy to the validity of two published factor analyses of handedness data because of bimodality was dealt with in Part I by identifying measures to normalize the handedness item distributions. A new survey using Oldfields questionnaire format had 38 bell-shaped (unimodal) handedness-item distributions and 11 that were only marginally bimodal out of the 55 items used in Geschwind's 1986 study. Yet they were still non-normal and the factor analysis was unsatisfactory; bimodality is not the only problem. By choosing a transformation for each item that was optimal as assessed by D'Agostino's K2 statistic, all but two items could be normalized. Seven factors were derived that showed high congruence between maximum likelihood and principal components extractions before and after varimax rotation. Geschwind's assertion that handedness is not unidimensional is therefore supported.
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subjects Analysis of Variance
Factor Analysis, Statistical
Functional Laterality
Humans
Multivariate Analysis
Surveys and Questionnaires
title Factoring Handedness Data: II. Geschwinds Multidimensional Hypothesis
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