What Men Who Have Sex With Men in Peru Want in Internet-Based Sexual Health Information

We aimed to gather information among gay men regarding their preferences for online sexual health information; 1,160 Peruvian MSM, 18 years or older, completed an online survey hosted on www.tunexo.org. The mean age was 26.8 years. Around 90% had post–high school education. The self-reported HIV prevalence was 12.3%. The acceptability of sexual health content was greater in the most highly educated group. The highest rated topics and services of interest were those related to improving sexual and mental health. The least educated group was significantly more interested in “getting prevention messages on mobiles” compared to men with the highest level of education (71% vs. 52%; p < 0.001). Men’s sexual health was of more interest to the 30–39-year-old group compared to the 18–24-year-old one (97% vs. 87%; p = 0.005). Future Web-based interventions related to sexual health among targeted groups of MSM in Peru can be tailored to meet their preferences.     

An initial exploration of a community-based framework for educational equity with explicated exemplars

Educational equity dominates discussions of US schooling. However, what ‘educational equity’ means is much contested in the scholarly literature and in public discourses. We follow the lead of scholars of color who have problematized the definition of educational equity. They have shown that the dominant, taken-for-granted definitions of equity which disguises the accumulation of societal and educational exclusions of and prejudices toward historically marginalized students, their families, and their communities. In response to this critique, we offer a new definitional framework for ‘educational equity’ that is community-based and, in our specific case, urban community-based. And, then, we will apply this new equity framework to three examples or ‘exemplars’ of education reform to explicate how they do and do not illustrate our framework. We will finish with a brief discussion, recommendations for future scholarship, and some concluding remarks.     

Do we measure leadership effectively? Articulating and evaluating scale development psychometrics for best practice

Leadership assessment has been a particular point of difficulty for contemporary scholarship, with many practitioners rejecting academically-driven leadership instruments and scales and preferring their own, less rigorous, scales. We believe that current conceptualizations and measurements of leadership are problematic, indicated by contemporary challenges that can be widely understood as failures of leadership (e.g. the Australian Banking Royal Commission and Volkswagen's ‘Dieselgate’). Also, how effective leadership is measured needs to change. This paper presents a systematic review of 17 leadership scales developed in the new millennium. The majority of scales lack some degree of rigor. Our response has been to conduct eighteen critical checks over four stages of scale development: theory generation, item development, content validity, and empirical evaluation. On the premise that understanding past practices, with their limitations, can be used to drive forward a suite of more effective organizational tools, we provide best practice recommendations using contemporary psychometric research.     

Compensation Schemes,Skill Level,and Task Performance: An Experimental Examination*

The effect of budget-based incentive compensation schemes is a fundamental issue in developing and implementing organizational control systems. This study investigates the effect of alternative compensation schemes on performance and satisfaction. A theoretical model outlining the primary relationships is formulated and related hypotheses specified. The hypotheses reflect an integration of agency theory and organization behavior research. Across-group and within-group effects are investigated using both single-period and multiperiod analyses. A laboratory study involving 40 subjects is undertaken and the findings provide insights into the individual and group effects of alternative compensation schemes and the dynamics of changing Compensation schemes on productivity and satisfaction. Specifically, a relationship is found between compensation schemes and performance. The effect on performance is independent of the compensation scheme's perceived fairness. Satisfaction is a function of the congruence between the preferred scheme and the implemented scheme.     

Teaching Intraverbal Behavior to Children with Autism: A Comparison of Textual and Echoic Prompts

Although echoic prompts may be effective for teaching intraverbal behavior to children with autism, the performance of some children may become dependent on such prompts (i.e., the prompts cannot be eliminated). Recent research suggests that visual rather than echoic prompts may be used to teach children with autism a variety of skills and may facilitate independent performance. In the present study, an adapted alternating treatments design was used to compare the effects of using visual (textual) and echoic prompts on acquisition of intraverbal responses (answering questions) by 2 children with autism. The results indicated that the textual prompts were more effective than the echoic prompts. Implications for the use of visual prompts during instruction with children with autism are discussed.     

Bayesian variable selection for the Cox regression model with missing covariates

In this paper, we develop Bayesian methodology and computational algorithms for variable subset selection in Cox proportional hazards models with missing covariate data. A new joint semi-conjugate prior for the piecewise exponential model is proposed in the presence of missing covariates and its properties are examined. The covariates are assumed to be missing at random (MAR). Under this new prior, a version of the Deviance Information Criterion (DIC) is proposed for Bayesian variable subset selection in the presence of missing covariates. Monte Carlo methods are developed for computing the DICs for all possible subset models in the model space. A Bone Marrow Transplant (BMT) dataset is used to illustrate the proposed methodology.