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Development of a Scale Measuring Genetic Variation Related to Expressive Control
Author(s) -
Gangestad Steven W.,
Simpson Jeffry A.
Publication year - 1993
Publication title -
journal of personality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.082
H-Index - 144
eISSN - 1467-6494
pISSN - 0022-3506
DOI - 10.1111/j.1467-6494.1993.tb01029.x
Subject(s) - intraclass correlation , psychology , scale (ratio) , component (thermodynamics) , variance (accounting) , measure (data warehouse) , dizygotic twins , twin study , personality , variation (astronomy) , correlation , psychometrics , developmental psychology , statistics , social psychology , heritability , computer science , data mining , evolutionary biology , mathematics , biology , business , geometry , accounting , quantum mechanics , obstetrics , thermodynamics , medicine , physics , astrophysics
It has been theorized that a substantial genetic component underlies the Self‐Monitoring Scale. The identity of this component, however, is not yet known. In order to identify and better understand it, a more precise measure of the component is required. The present research attempted to ( a ) identify an axis of the self‐monitoring two‐factor space with maximum genetic variance; and ( b ) bootstrap a scale more highly correlated with this genetic maximum than is the Self‐Monitoring Scale using twins. Evaluation of the new scale against criteria of validity indicates that scale construction was reasonably successful. The new measure had a cross‐validated monozygotic twin intraclass correlation of .76 and a dizygotic twin intraclass correlation of .16. This work yields a new research tool and suggests a new approach to personality assessment. Correlates of the new measure as well as theoretical and methodological issues relevant to the measurement of a latent genetic entity are discussed