Normative perceptions in relation to substance use and HIV-risky sexual behaviors of college students

In this study, 410 college students completed a survey assessing their personal substance use patterns and sexual behavior and their perceptions of other students' substance use and sexual behavior. Two parallel sets of questions were presented to reflect the two contextual conditions of being drunk or high versus being not drunk or high. Results indicated that number of recent sexual partners and normative perceptions of HIV-risky sexual behavior were the strongest predictors of personal HIV-risky behavior when not drunk or high. HIV-risky behavior when drunk or high was predicted by personal substance use as well as by number of recent partners and normative perceptions of peer sexual behavior. These findings suggest that HIV-prevention programs for college students should aim to correct overinflated perceptions of other students' high-risk sexual behavior.     

Gender label and perceived infant emotionality: a partial replication of a classic study

In a study often referred to as "classic," Condry and Condry (1976) showed a videotaped infant to participants, telling half of them the infant was a boy and half it was a girl. Participants who thought they were viewing a boy rated the infant's reaction to a jack-in-the-box as anger; those who thought they were viewing a girl rated the reaction as fear. Participants in the present partial replication of the Condrys' study did not rate the infant differently based on the infant's gender label, although there was evidence that participants' own sex affects their perception of an infant's emotionality. Results were discussed in light of inconsistent results among other gender-labeling studies and relevant methodological, historical, and theoretical issues.     

Alcohol use among american college students in relation to need for cognition and expectations of alcohol's effects on cognition

This article describes the development of a new self-report measure for assessing expectations for alcohol's cognitive effects and presents an empirical investigation of the association between cognitive alcohol expectancies and alcohol use. The present study also examined the potential moderating effects of need for cognition on the association between cognitive expectancies and drinking. Participants consisted of 179 college undergraduates from a midsized public university in the southeastern United States. Results of hierarchical multiple regression analyses, conducted separately for males and females, indicated several main effects for both cognitive alcohol expectancies and need for cognition on alcohol use. In contrast to these main effects, there were no significant multiplicative interaction effects, suggesting that need for cognition did not moderate the direction of association between cognitive expectancies and drinking. The results of homologizer/moderator analyses, however, did indicate a number of significant interaction effects for both males and females. These significant homologizer findings indicated that thestrength of association between cognitive alcohol expectancies and drinking increased as need for cognition increased. Implications of the present findings for future research are discussed. This research was supported, in part, by a sabbatical award granted by the College of Charleston. The author thanks Michael Tavernetti for his assistance with this project and Dr. Rhonda Swickert for her helpful feedback on an earlier version of this article.     

Optimism and pessimism: Associations to coping and anger-reactivity

The purpose of the present study was to examine episodic coping and situational anger-reactivity in relation to optimism and pessimism while correcting for some of the limitations of previous research. In the present investigation, optimism and pessimism were operationalized as separate constructs. In addition, an attempt was made to ‘standardize’ the nature of the Stressor that subjects reported on, and to assess short-term emotional reactivity. Semipartial correlational analyses that corrected for multicollinearity among the coping subscales indicated that, independent of variability in the contextual features of the Stressors, scores on the optimism subscale of the Life Orientation Test (LOT) were positively correlated with confrontive coping and accept-responsibility coping, and inversely related to escape-avoidance coping. Pessimism scores were positively related to escape-avoidance coping and inversely related to confrontive coping and planful problem solving coping. Neither optimism nor pessimism were related to levels of ‘stress-induced’ anger reactivity. These data suggest that optimism and pessimism are distinct constructs, that each construct is associated with different coping strategies, and that coping differences between optimists and pessimists are not necessarily associated with differences in emotional reactivity. These findings have implications for future research examining dispositional optimism and pessimism as stress-moderating personality factors.     

Examining the Cross-National Measurement Invariance of the Extended Satisfaction with Life Scale in the United States and Hungary

The measurement invariance properties of four domains from the Extended Satisfaction with Life Scale (ESWLS) were examined in samples of young adults from the United States and Hungary. The four domains (scales) were general life satisfaction, social life satisfaction, family life satisfaction, and satisfaction with one’s self. For both countries, confirmatory factor analyses supported a correlated four-factor model, with each ESWLS domain constituting a single independent factor. Multigroup invariance testing provided support for both configural invariance and metric invariance, suggesting that across the U.S. and Hungarian samples the four ESWLS scales evidenced the same pattern of factor loadings as well as largely equivalent regression weights. These results suggest that respondents in both countries attributed the same meaning to the ESWLS constructs and that associations between the four ESWLS scales and other variables can be meaningfully compared across the two nations. Latent factor analyses indicated that with the exception of the correlation between general- and self-satisfaction, which was higher for the U.S., the magnitudes of the correlations between ESWLS domains were similar for the U.S. and Hungary. Possible explanations for the lack of measurement invariance across all of the nested models (i.e., item intercepts through residuals) are discussed.     

Responses to the September 11, 2001, terrorist attacks: experience of an indirect traumatic event and its relationship with perceived benefits

Little is known about how people might benefit from an indirectly experienced traumatic event. The authors examined the relationship between perception of benefit and trauma symptoms in response to a relatively severe, but indirectly experienced, traumatic event. The authors sampled from 2 colleges located in the southeastern United States (N = 136). Individuals responded to questionnaires that assessed perceived benefits and trauma symptoms 1-2 weeks after the terrorist attacks of September 11, 2001, and again approximately 10 weeks later. Participants did perceive benefits from witnessing this event, although their perception of benefit declined over time. Level of trauma symptoms correlated positively with perception of benefit, and experiencing a previous trauma also correlated positively with perceived benefits. Additional analysis indicated that level of trauma symptoms mediated the relationship between previous trauma and perception of benefit. These findings help to elucidate understanding of the development of perceived benefits in response to indirectly experienced events.     

Novel methods for analyzing multifaceted personality scales: sense of coherence and depression as an example

Multifaceted personality scales assess multiple related facets or dimensions and, as such, they are typically made up of correlated subscales. In some cases, the degree of correlation among subscales can be so high as to render the use of standard procedures for evaluating a subscale's relative importance (e.g., beta weights or bivariate correlations) dubious. In such cases of high predictor multicollinearity, researchers are faced with few viable options and, in response, many turn to multiple regression when examining predictor-criterion associations (for example, interpreting semipartial correlations and incremental variance estimates). In an effort to broaden researchers' options and thereby allow for greater interpretive clarity, z tests for comparing dependent zero-order correlations and R. G. Malgady's (1987) methods for comparing two dependent semipartial correlations and for comparing dependent semipartial and zero-order correlations are proposed as additional techniques for analyzing predictor (or subscale) criterion associations in the context of predictor collinearity. Worked examples of both techniques are provided, using a dataset on sense of coherence and depression. Finally, relevant computer programs for implementing the aforementioned techniques are noted.     

A Monte Carlo evaluation of tests for comparing dependent correlations

The authors conducted a Monte Carlo simulation of 8 statistical tests for comparing dependent zero-order correlations. In particular, they evaluated the Type I error rates and power of a number of test statistics for sample sizes (Ns) of 20, 50, 100, and 300 under 3 different population distributions (normal, uniform, and exponential). For the Type I error rate analyses, the authors evaluated 3 different magnitudes of the predictor-criterion correlations (rho(y,x1) = rho(y,x2) = .1, .4, and .7). For the power analyses, they examined 3 different effect sizes or magnitudes of discrepancy between rho(y,x1) and rho(y,x2) (values of .1, .3, and .6). They conducted all of the simulations at 3 different levels of predictor intercorrelation (rho(x1,x2) = .1, .3, and .6). The results indicated that both Type I error rate and power depend not only on sample size and population distribution, but also on (a) the predictor intercorrelation and (b) the effect size (for power) or the magnitude of the predictor-criterion correlations (for Type I error rate). When the authors considered Type I error rate and power simultaneously, the findings suggested that O. J. Dunn and V. A. Clark's (1969) z and E. J. Williams's (1959) t have the best overall statistical properties. The findings extend and refine previous simulation research and as such, should have greater utility for applied researchers.     

Reliability and validity of gain scores considered graphically

The ordinary gain score, g, is defined as g = x2-x1, where x1 is the pretest score and x2 is the posttest score. The present study extends and refines previous research on the reliability and validity of gain scores. Using particular values as stated in the tables and graphs, the pre- and posttest reliabilities, pre- and posttest validities, ratios of pretest to posttest standard deviations, and correlations between the pretest and posttest were varied systematically to examine the effects of these parameter configurations on gain scores' reliability and validity. Results plotted graphically provide insight via visual interpretation not easily inferred using only values from a table. One interesting finding was that the reliability of a gain score can be at a maximum when the validity is at a minimum. Another is that a high correlation between pre- and posttest was beneficial to the validity of the gain score but detrimental to its reliability. By identifying the situations in which gain scores can be reliable and valid, findings inform researchers when gain scores should or should not be used.