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Previous studies have identified the MMPI-based Cook and Medley hostility scale (Ho) as a predictor of health outcomes. To achieve a better understanding of the construct measured by this scale, Ho items were classified on an a priori basis. Six subsets were identified: Cynicism, Hostile Attributions, Hostile Affect, Aggressive Responding, Social Avoidance, and Other. Study 1 examined the correlations of these subsets with scales of the NEO Personality Inventory in two samples of undergraduates. Good convergent and discriminant validity were demonstrated, but there was some evidence that items in the Social Avoidance and Other categories reflect constructs other than hostility. Study 2 examined the ability of the Ho scale and the item subsets to predict the 1985 survival of 118 lawyers who had completed the MMPI in 1956 and 1957. As in previous studies, those with high scores had poorer survival (chi 2 = 6.37, p = 0.012). Unlike previous studies, the relation between Ho scores and survival was linear. Cynicism, Hostile Affect, and Aggressive Responding subsets were related to survival, whereas the other subsets were not. The sum of the three predictive subsets, with a chi 2 of 9.45 (p = 0.002), was a better predictor than the full Ho scale, suggesting that it may be possible to refine the scale and achieve an even more effective measure of those aspects of hostility that are deleterious to health.

High levels of hostility as assessed by a MMPI scale (Ho) have been found associated with increased levels of arteriographically documented coronary atherosclerosis. In this study we examined the relationship between hostility and subsequent health status in a 25-year follow-up of 255 medical students who completed the MMPI while in medical school. High Ho scores were found to be predictive of both clinical coronary disease incidence and total mortality.

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Correlated Cook-Medley Hostility Scale (Ho) scores with sociodemographic variables in a national survey of 2,536 adults. Multiple regression models revealed that Ho scores were associated with race (p less than .0001), years of education (p less than .001), sex (p less than .001), occupation (p = .0002), and income (p = .0025). Higher scores were found in non-Whites, men, and those of lower socioeconomic status. There was a Race x Income interaction (p less than .005), such that the greatest Ho score differences between the races occurred among those with the lowest incomes. Age was related to Ho scores in a curvilinear fashion: higher scores in the youngest and oldest age groups than in the middle-aged groups (p = .025). Marital status was unrelated to Ho scores. These patterns of hostility are similar to the patterns of health indicators in the population. Because hostility has been found to be associated with adverse health outcomes, hostility may account for some of the demographic variations in health status. However, it is argued that research must first establish the generality of the hostility-health relationship across subgroups of the population.

High hostility in college and change in hostility from college to midlife predicts a full range of health risk indicators. When compared with the average population decline in hostility, gains in hostility at midlife are related to increased risk while declines in hostility are related to reduced risk. Higher midlife hostility is associated with increased odds of being in the higher risk group. Future research should focus on developing interventions to reduce hostility.

Factor analysis models have played a central role in formulating conceptual models in personality and personality assessment, as well as in empirical examinations of personality measurement instruments. Yet, the use of item-level data presents special problems for factor analysis, applications. In this article, we review recent developments in factor analysis that are appropriate for the type of item-level data often collected in personality. Included in this review are discussions of how these developments have been addressed in the context of two different (but formally related) statistical models item response theory (IRT: Hambleton, Swaminathan, & Rogers, 1991) and structural, equation modeling (Bollen 1989) for item-level data. We also discuss the relevance of item scaling in the context of these models. Using the restandardization data for the Minnesota Multiphasic Personality Inventory-2 Scale (cf. Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989), we show brief examples of the utility of these approaches to address basic questions about responses to personality scale items regarding: (a) scale, dimensionality and general item properties, (b) the "appropriateness" of the observed responses, and (c) differential item functioning across subsamples. implications for analyses of personality item-level data in the IRT and factor analytic traditions are discussed.

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