By Kevin Lanning
In the final 25 years, there isn't any factor in character psychology which has been as hotly debated as that of consistency. This e-book introduces scalability as an inexpensive and theoretically fulfilling conceptualization of consistency. 3 empirical reports of scalability are defined; their concentration is at the position of scalability as a moderator in prediction. This publication makes major inroads within the box of character dimension, and, through reviewing earlier ways to character evaluate, it offers a valid theoretical foundation for the outline and mapping of personalities.
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Additional resources for Consistency, Scalability, and Personality Measurement
This lack of stability implies that scalability measures will be less 3. Scalability and elevation - 41 reliable than the elevation scores around which they are computed (Tellegen, 1988). Non-monotonicity. , be highly scalable, but not appear high in elevation for the trait of dominance (see also Baumeister & Tice, 1988). The converse of this also holds: A high elevation score for a trait such as dominance need not imply that the person perceives and responds to the world in terms of the normative dimension.
These differences are minor. Essentially, scalability scores and intra-individual consistency scores will be equivalent to the extent that the items or situations are similar in evocativeness. , the two noted above and, in addition, the effect on scalability scores of differential item variances, which are partialed out by standardization. In light of this discussion, two of the studies of variability discussed in the previous chapter pertain quite directly to the measurement of scalability. Berdie (1961) reported that the cognitive subtests over which he assessed consistency were equal in difficulty; he found variability scores to be reliable and to function weakly as moderators.
It follows that if one chooses to rely on subgroup analysis, errors of estimate should be examined as well as, if not in lieu of, simple correlation coefficients. Still another remedy is to abandon subgroup analysis altogether. Alternative methods, including moderated multiple regression and Ghiselli's (1960, 1963) differential predictability approach, avoid the problems of conceptual entailment and confounded correlations (paunonen & Jackson, 1985). The regression approach will be considered in the discussion of the Bem and Allen study which follows.