Alcohol Expectancy Multiaxial Assessment: A Memory Network-Based Approach

Autor/inn/en	Goldman, Mark S.; Darkes, Jack
Titel	Alcohol Expectancy Multiaxial Assessment: A Memory Network-Based Approach
Quelle	In: Psychological Assessment, 16 (2004) 1, S.4-15 (11 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1040-3590
Schlagwörter	Memory; Information Processing; Multidimensional Scaling; Expectation; Evaluation Methods; Predictive Measurement; Test Construction; Drinking + Suchen Sie Ihr Suchwort? Gedächtnis; Informationsverarbeitung; Mehrdimensionale Analysis; Expectancy; Erwartung; Testaufbau; Trinken
Abstract	Despite several decades of activity, alcohol expectancy research has yet to merge measurement approaches with developing memory theory. This article offers an expectancy assessment approach built on a conceptualization of expectancy as an information processing network. The authors began with multidimensional scaling models of expectancy space, which served as heuristics to suggest confirmatory factor analytic dimensional models for entry into covariance structure predictive models. It is argued that this approach permits a relatively thorough assessment of the broad range of potential expectancy dimensions in a format that is very flexible in terms of instrument length and specificity versus breadth of focus. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10