Enhancing social diffusion theory as a basis for prevention intervention: A conceptual and strategic framework

Social diffusion theory has recently been recognized as a promising approach for large-scale disease prevention and health promotion efforts. This paper describes how principles and tactics from social cognitive theory, operant psychology, social psychology, social marketing, and the overarching stages of change model can be used to further develop the conceptual and strategic (technological) bases of social diffusion theory. Within an integrative framework, we discuss in detail more effective ways to train peer mediators of behavior change as one example of how social diffusion theory can benefit from this conceptual and strategic reformulation. We then further illustrate the use of peer mediators of change in human immunodeficiency virus (HIV) and cancer prevention intervention studies with both interventions training peer mediators to diffuse information, norms, and risk reduction strategies. Although the results of these studies showed reductions in high-risk behaviors across population segments, more closely following the framework discussed in this article should further increase the behavior change potential of future interventions based on social diffusion theory.     

Personality characteristics as a function of frequency and type of substance use

Problematic and unhealthy personality characteristics have typically been the focus of researchers interested in the possible causes of substance use/abuse. Recent research has begun to identify differences between individuals based upon frequency of use, with indications that moderate users may have "healthier" characteristics than either abstainers or regular users. The present study was conducted in a rural setting and compared personality structure (based on the California Psychological Inventory) among three groups of college students: abstainers, experimenters, and regular users. The comparisons were conducted as a function of all illicit substance use (excluding alcohol) and for alcohol use only. Minimal support was obtained for the above hypothesis when comparing the three groups on illicit substance use. When comparing the three groups on alcohol use only, support for the theory was identified, with fewer differences found between the experimenters and the abstainers than between the experimenters and the regular users. It is suggested that rural use of psychoactive substances may be more limited to alcohol due to easier availability and less stigma. Data supporting the "healthier" personality structure of moderate users of alcohol would thus be more likely in rural settings even though such use would still be "risky" behavior given its illegality for individuals under age 21. The need for adaptations to current treatment approaches is suggested.     

MMPI-A validity scale uses and limitations in detecting varying levels of random responding

Although there is a substantial research literature on the effects of random responding on the MMPI-2 (Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989), there are very few studies available on this topic with the MMPI-A (Butcher et al., 1992). Archer and Elkins (1999) found that MMPI-A validity scales F and VRIN were particularly useful in detecting entirely random profiles from those derived standardly in clinical settings but noted that "all random" protocols could not be used to evaluate the usefulness of the T-score difference between the first half (F1) and the second half (F2) of the MMPI-A test booklet. Following up on this issue, this study extended the methodology of previous research by examining the hit rate, positive predictive power, negative predictive power, sensitivity, and specificity of VRIN, F, F1, F2 and the absolute value of the T-score difference between F1 and F2 (denoted as IF1-F21) in 5 samples varying in the degree of protocol randomness. One of the samples consisted of 100 adolescent inpatients administered the MMPI-A under standard instructions, and another sample consisted of 100 protocols randomly generated by computer. The additional 3 samples of 100 protocols each contained varying degrees of computer-generated randomness introduced in the latter half of the MMPI-A item pool. Over- all, the results generally indicate that several MMPI-A validity scales are useful in detecting protocols that are largely random, but all of these validity scales are more limited in detecting partially random responding that involves less than half the total item pool located in the second half of the test booklet. Clinicians should be particularly cautious concerning validity inferences based on the observed T-score difference that occurs for the F1 and F2 subscales and current findings do not support the clinical usefulness of this index.     

The Factor Structure of the Beavers Interactional Scales

Confirmatory factor analysis and regression analyses of the Beavers Interactional Scales did not appear to support the model offered by its developers, namely, several specified family attributes contributing respectively to two global factors of Family Competence and Family Style. Moreover, regression analysis indicated that only three of 12 items predicted raters' assessments of Global Family Health, and one of seven items predicted Global Family Style. Individuals interested in the family dynamic centripetal/centrifugal might best think of that as a unitary entity and rate it accordingly.     

The relationship between out-of-school activities and positive youth development: an investigation of the influences of communities and family

There is growing evidence that participation in constructive leisure activities facilitates positive youth development. Empirical evidence also supports the influence of families and communities on positive developmental outcomes for adolescents. This study examined the relationship among attitudes toward family and community, participation in structured out-of-school activities, and pro-social behavior. As predicted, community aspects such as opportunities available and the attitudes the youth held toward the community, as well as their attitude toward family were predictive of activity involvement. Activity involvement, in turn, was predictive of pro-social behavior. Attitude toward family was also predictive of attitude toward the community. Attitude toward community was a direct predictor of the positive developmental outcome of pro-social behavior, although contrary to the original hypothesis, family influences did not have a direct effect on pro-social behavior. Implications for continued practice and change for a variety of sectors in the positive youth development field such as educators and educational institutions, youth-serving organizations, families, and policy makers are discussed, along with recommendations for continued research in this field.     

Clinical status of at-risk individuals 5 years later: further validation of the psychometric high-risk strategy

The authors hypothesized that at-risk individuals identified on the basis of their Chapman scale scores would be diagnosed with schizophrenia-spectrum disorders at follow-up. In the present study, the authors interviewed 135 young adults approximately 5 years following their initial assessment. The at-risk groups included high scorers on the Perceptual Aberration and/or Magical Ideation Scales (n=59) and high scorers on the revised Social Anhedonia Scale (n=32). The control participants (n=44) scored below 0.5 SD of the same-sex group means on all the scales. At the follow-up, the groups differed in terms of their likelihood of having a schizophrenia-spectrum diagnosis, Chi2(2)=9.79, p<.01. The at-risk groups reported more frequent and severe psychotic-like experiences relative to the control group. These findings support the predictive validity of the Chapman psychosis-proneness scales and may enhance the power of early detection efforts.     

The role of change in the relationship between commitment and turnover: a latent growth modeling approach

Through the use of affective, normative, and continuance commitment in a multivariate 2nd-order factor latent growth modeling approach, the authors observed linear negative trajectories that characterized the changes in individuals across time in both affective and normative commitment. In turn, an individual's intention to quit the organization was characterized by a positive trajectory. A significant association was also found between the change trajectories such that the steeper the decline in an individual's affective and normative commitments across time, the greater the rate of increase in that individual's intention to quit, and, further, the greater the likelihood that the person actually left the organization over the next 9 months. Findings regarding continuance commitment and its components were mixed.     

Constraints and triggers: situational mechanics of gender in negotiation

The authors propose 2 categories of situational moderators of gender in negotiation: situational ambiguity and gender triggers. Reducing the degree of situational ambiguity constrains the influence of gender on negotiation. Gender triggers prompt divergent behavioral responses as a function of gender. Field and lab studies (1 and 2) demonstrated that decreased ambiguity in the economic structure of a negotiation (structural ambiguity) reduces gender effects on negotiation performance. Study 3 showed that representation role (negotiating for self or other) functions as a gender trigger by producing a greater effect on female than male negotiation performance. Study 4 showed that decreased structural ambiguity constrains gender effects of representation role, suggesting that situational ambiguity and gender triggers work in interaction to moderate gender effects on negotiation performance.     

Dual scaling for the analysis of categorical data

Dual scaling is a set of related techniques for the analysis of a wide assortment of categorical data types including contingency tables and multiple-choice, rank order, and paired comparison data. When applied to a contingency table, dual scaling also goes by the name "correspondence analysis," and when applied to multiple-choice data in which there are more than 2 items, "optimal scaling" and "multiple correspondence analysis. " Our aim of this article was to explain in nontechnical terms what dual scaling offers to an analysis of contingency table and multiple-choice data.