Past research has shown rather consistently that positive mood states lead to increased helpfulness. In an expanded analysis of the published literature, we examined six distinct views about this relation: the focus of attention, objective self-awareness, separate process, social outlook, mood maintenance, and concomitance hypotheses. For each of 61 positive affect conditions in which it was possible to generate an effect-size estimate corresponding to the relative degree of helpfulness exhibited by positive mood subjects (compared with neutral affect subjects), judges assessed the contextual levels of variables relevant to each of the six hypotheses by reading the Method section of each article. Higher-order partial correlation coefficients were then calculated to isolate the independent contribution of each of the theoretically relevant variables to the variation among the 61 effect sizes. The results support the focus of attention, separate process, social outlook, and mood maintenance hypotheses, and partially support the objective self-awareness and concomitance hypotheses.
Mosbach & Leventhal (1988) examined the relation of cigarette smoking to peer-group identification in rural Wisconsin adolescents. They found that among dirts (problem-prone youth), regulars (average youth), hot-shots (good social or academic performers), and jocks (athletes), youth most likely to smoke were dirts and hot-shots. We performed a replication with a Southern California cohort and also for use of smokeless tobacco. We hypothesized that jocks would be the main users of smokeless tobacco. We identified the same groups and an additional one, skaters (skateboarders or surfers). As Mosbach & Leventhal found, cigarettes were used most by dirts. Contrary to their results, but consistent with other research, we found that hot-shots were least likely to smoke. Contrary to our prediction, we found that skaters and dirts were more likely to use smokeless tobacco than were jocks. Our data show that both tobacco forms are used by problem-prone youth.
We generalize the formulas derived by Daniels and Kendall (1947) for the variance of the sample tau correlation. It is assumed that multivariate data are sampled from a population, and sample taus between pairs of variables are being used to estimate their population counterparts. Expressions for the variance of tau-a are generalized to allow for ties on either variable, and we further provide an expression for the covariance between two taus, including the special case where there is a variable in common. Unbiased estimators of the variance and the covariances are also derived for use in small samples. The variances and covariances of tau-a are used to provide asymptotic variances for tau-b and Somers' d.
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