David W. Gerbing

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In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a(More)
This article examines the Sixteen Personality Factor Inventory (16PF; Cattell, Eber, & Tatsuoka, 1970) in terms of recent methodological and substantive developments: restricted (confirmatory) factor analysis and the five-factor model of personality as operationalized by the NEO-PI (NEO Personality Inventory). A multiple-indicator measurement model of the(More)
Monte Carlo methods were used to systematically study the effects of sampling error and model characteristics upon parameter estimates and their associated standard errors in maximum likelihood confirmatory factor analysis. Sample sizes were varied from 50 to 300 for models defined by different numbers of indicators per factor, numbers of factors,(More)
The components underlying items from a comprehensive but diverse domain of impulsivity measures were investigated. The disparity of items within this domain attests to the lack of a coherent framework from which to conceptualize impulsivity. The self-report measures included in this study were the 16PF Impulsivity scale, the GZTS Restraint, Thoughtfulness(More)
In the customer expectations arena, relatively little attention has been paid to the impact on expectations of variation in cultural variables unique to a country. Here we focus on one country, India, and a major cultural influence there—the extent of belief in karma. Prior research in the United States suggests that disconfirmation sensitivity lowers(More)
From 340 MMPIs of male forensic state hospital patients, seven disjoint clusters were obtained by an innovative cluster strategy that combined Ward's hierarchical clustering with a partitioning method. The cluster groups differed on racial composition and DSM-III Axis II diagnoses. The lack of differences among the cluster groups on other clinically(More)
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