Risky Business: Is There an Association between Casual Sex and Mental Health among Emerging Adults?

A multiethnic sample of single, heterosexual, emerging-adult college students (N = 3,907) ages 18 to 25, from 30 institutions across the United States, participated in a study about identity, culture, psychological well-being, and risky behaviors. Given ongoing debates about the connection between casual sex and psychological adjustment, in the current study we assessed the cross-sectional association of participation in casual sex with psychological well-being and distress. A greater proportion of men (18.6%) compared to women (7.4%) reported having had casual sex in the month prior to assessment. Structural equation modeling indicated that casual sex was negatively associated with well-being (ß = .20, p < .001) and positively associated with psychological distress (ß = .16, p < .001). Gender did not moderate these associations. For emerging-adult college students, engaging in casual sex may elevate risk for negative psychological outcomes.     

Structured Voluntary Youth Activities and Positive Outcomes in Adulthood: An Exploratory Study of Involvement in Scouting and Subjective Well-Being

This study explores whether youth involvement in Scouting has positive consequences later in life. We examine whether the number of years of participation in Scouting is positively associated with human and social capital and recreational lifestyles in adulthood, and whether these are linked to subjective well-being: relational, emotional, and physical health. To explore this potential relationship, we estimated a structural equation model, analyzing data from a national sample of adult males. We found that youth involvement in Scouting is positively related to subjective well-being indirectly via the positive adult outcomes.     

Evaluation of a Training to Reduce Provider Bias Toward Pregnant Patients With Substance Abuse

The objective of this article is not to present a scientific or systematic study, but to provide an initial framework for designing a training workshop to enhance health practitioners’ (nurses, social workers, physicians, etc.) knowledge regarding substance abuse treatment and to decrease their bias toward substance-abusing women, particularly pregnant women in rural communities. We incorporated the 4 Transdisciplinary Foundations from the Substance Abuse and Mental Health Services Administration Competencies Model, with specific competencies targeted that related to provider bias. After the conference, 52 of the 70 participants completed a questionnaire to self-assess knowledge level and confidence in skill related to substance abuse management. Participant mean scores were statistically significantly higher following the conference than 1 week prior (p < .001) in the area of “gender difference with substance abuse,” moving from an average of 2.6 to 4.5 on a 5-point Likert scale. Our conference was successful in increasing attendees’ knowledge about gender difference and substance abuse among pregnant patients.     

An Evaluation of Stimulus Preference Assessment Methodology in Organizational Behavior Management

The organizational behavior management literature has yielded few stimulus preference assessment methodologies for use with employees. The current investigation compared three preference assessments (ranking, survey, and multiple stimulus without replacement procedures) found in the organizational behavior management literature for their ability to predict reinforcers for direct care staff members’ behavior. In the first experiment all assessments were effective for predicting reinforcers, but the results were limited by a lack of control items in the assessment. In the second experiment the survey and ranking assessments both proved to be effective for identifying reinforcers and neutral or ineffective stimuli. Implications of these results and directions for future research are discussed.     

DEREGULATION AND THE RELIGIOUS MARKET IN TAIWAN: A Research Note

The religious economy model predicts that when encountered with competition, loosely organized religions will fail or will be transformed into congregational religions. Over time, competition will drive congregational religions to establish an extended relationship with their consumers by generating exclusivist claims and exclusivist socialization. And thus exclusive religion tends to occupy the biggest market share. This model, however, has rarely been tested empirically. By analyzing religious trends in Taiwan after the deregulation of the late 1980s, we find that state suppression contributed to the weakness of organized religion while enhancing the popularity of unchurched congregational religions in Taiwan. We also find that deregulation is associated with the rise of organized and congregational faiths. But whether or not these newly organized religions become exclusive or not needs further studies. Implications of the findings for future research are offered.     

Modelling Variability in the Branching Structure of Strawberry Inflorescences

The branching structure of inflorescences of the cultivated strawberry ( Fragaria × ananassa Duch.) is very variable. This paper demonstrates that some aspects of this variability are well described by a simple stochastic model of branching that has two adjustable parameters. The model is shown to provide a good fit to data from a set of almost 700 inflorescences of the cultivar Elsanta, collected over two successive years. For one parameter the maximum likelihood estimator is a moment estimator which is fully efficient even if the detailed branching structure of the inflorescences is not recorded. This parameter provides a convenient summary of branching vigour. The maximum likelihood estimator of the second parameter must be determined iteratively and can be quite inefficient unless the full branching structure is recorded. The model demonstrates that branching structure is affected by the order in which inflorescences emerge on the plant.     

Acculturation status and sexuality among female Cuban American college students

The authors examined relations among different measures of acculturation, and between acculturation and sexual behavior, in a sample of female Cuban American college students (n=61, M age = 18.4 years) who completed self-report surveys. In the first set of analyses, weak to moderate associations emerged among 4 measures of acculturation (birthplace, childhood language use, current language use, and ethnic identity), suggesting that inconsistent findings from prior research may have resulted from measurement limitations. In multivariate analyses, the authors examined predictors of sexual behavior and found that 1 aspect of acculturation (higher levels of ethnic identity) and background characteristics (being older and less religious) were associated with voluntary sexual intercourse. Moreover, higher levels on a sexual risk composite were associated with being born in the United States, more ethnically identified, older, and less religious. These analyses highlight the need for specificity in assessing acculturation in a college student population and support the need to examine cultural factors directly in sexuality research.     

Teaching Employees How to Receive Feedback: A Preliminary Investigation

ABSTRACT

There is a substantial literature on how to deliver feedback to change performance. However, to date no research has been conducted on teaching employees how to effectively receive feedback, even though employee behavior during a feedback session could moderate the effects of feedback. Thus, we developed a list of skills that should be exhibited by an employee while receiving verbal feedback. We then evaluated their acquisition after behavioral skills training using a nonconcurrent multiple-baseline design across participants. The results showed that participants were able to acquire and maintain appropriate feedback receiving behavior.     

Statistical approaches for conducting network meta-analysis in drug development

We introduce health technology assessment and evidence synthesis briefly, and then concentrate on the statistical approaches used for conducting network meta-analysis (NMA) in the development and approval of new health technologies. NMA is an extension of standard meta-analysis where indirect as well as direct information is combined and can be seen as similar to the analysis of incomplete-block designs. We illustrate it with an example involving three treatments, using fixed-effects and random-effects models, and using frequentist and Bayesian approaches. As most statisticians in the pharmaceutical industry are familiar with SAS? software for analyzing clinical trials, we provide example code for each of the methods we illustrate. One issue that has been overlooked in the literature is the choice of constraints applied to random effects, and we show how this affects the estimates and standard errors and propose a symmetric set of constraints that is equivalent to most current practice. Finally, we discuss the role of statisticians in planning and carrying out NMAs and the strategy for dealing with important issues such as heterogeneity.