"If I can't have you, no one can": development of a Relational Entitlement and Proprietariness Scale (REPS)

Relational proprietariness and entitlement have been theoretically related to partner violence following the threat of relationship dissolution. To date, however, no measure has been employed to verify such accounts. A multistage item pool development and refinement strategy was employed, resulting in a 32-item measure with strong construct validity. An online survey administered to 279 students resulted in an interpretable factor structure of sexual proprietariness and entitlement, consisting of social, behavioral, and information control, and a potential factor of face threat reactivity. These factors added unique variance to the prediction of instrumental and expressive aggression, were related to self-esteem and attachment, and were not contaminated by social desirability. Recommendations for bolstering the face threat reactivity factor and future studies are suggested. This measure provides a new tool that contributes to the prediction of intimate partner violence.     

Relationship power,decision making,and sexual relations: an exploratory study with couples of Mexican origin

This study explored how couples of Mexican origin define power in intimate relationships, what makes men and women feel powerful in relationships, and the role of each partner in decision making about sexual and reproductive matters. Interviews were conducted with each partner of 39 sexually active couples and data were analyzed using content analysis. Results indicate that power is perceived as control over one s partner and the ability to make decisions. Women say they feel more powerful in relationships when they make unilateral decisions and have economic independence. Men feel powerful when they have control over their partner and bring home money. Respondents agreed that women make decisions about household matters and children, while men make decisions related to money. Findings indicate that whereas couples share decision making about sexual activities and contraceptive use, men are seen as initiators of sexual activity and women are more likely to suggest condom use.     

The inter-rater reliability and validity of self-report of risk factors for cumulative trauma disorders within the hand therapist population - a pilot study

OBJECTIVES: This study examined the validity of hand therapists' self-report of cumulative trauma disorder (CTD) risk factors by comparing the self-report to observations performed by the raters. Inter-rater reliability was also analyzed between the raters who observed the hand therapists. STUDY DESIGN: Two raters simultaneously observed each hand therapist during a splinting task at a therapy facility. Following this task, the raters and the hand therapist independently completed an identical assessment tool. Thirteen therapists were observed and a total of six raters observed the therapists. Responses from two categories of the self-assessment, "posture" and "mechanical stress", were compared. Percentage of agreement was calculated by dividing the number of like responses by the total number of possible responses for each category. RESULTS: Overall inter-rater reliability was 72%, significantly above the accepted minimum standard of 60-70%, and validity was 39%, significantly below the accepted minimum. CONCLUSION: The high percentage of inter-rater reliability established consistency and accuracy among the raters in their observations. However, the low percentage of validity should prompt hand therapists to investigate the accuracy of a patient's self-report before relying on it for treatment.     

Bee community response to local and landscape factors along an urban-rural gradient

Urban Ecosystems - Over a third of the world’s crops require insect pollination, and reliance on pollination services for food continues to rise as human populations increase. Furthermore, as...     

The role of the minimum clinically important difference and its impact on designing a trial

The minimum clinically important difference (MCID) between treatments is recognized as a key concept in the design and interpretation of results from a clinical trial. Yet even assuming such a difference can be derived, it is not necessarily clear how it should be used. In this paper, we consider three possible roles for the MCID. They are: (1) using the MCID to determine the required sample size so that the trial has a pre-specified statistical power to conclude a significant treatment effect when the treatment effect is equal to the MCID; (2) requiring with high probability, the observed treatment effect in a trial, in addition to being statistically significant, to be at least as large as the MCID; (3) demonstrating via hypothesis testing that the effect of the new treatment is at least as large as the MCID. We will examine the implications of the three different possible roles of the MCID on sample size, expectations of a new treatment, and the chance for a successful trial. We also give our opinion on how the MCID should generally be used in the design and interpretation of results from a clinical trial.     

Mapping folk devils old and new through permanent exclusion from London schools

The process of permanent exclusion from school offers a heightened example of the rejections necessary to keep the English neoliberal education treadmill running. This extreme end of education’s disciplinary apparatus illuminates trends less immediately legible across the system, namely how securitization and neoliberal governance heighten inequalities. Unpicking the dynamics at work behind exclusion shows how racialization and marginalization are not reduced but reproduced through this educational format. This paper maps how securitization and neoliberal governance work together through permanent exclusion to reproduce racialized folk devils old and new, drawing on discourses of criminal blackness as well as the radicalized Islamic terrorist. It will also explore how exclusion policy is negotiated and translated into daily practice by exploring parental accounts of their child’s permanent exclusion alongside the narratives of head teachers in London.     

Sample size and the probability of a successful trial

This paper describes the distinction between the concept of statistical power and the probability of getting a successful trial. While one can choose a very high statistical power to detect a certain treatment effect, the high statistical power does not necessarily translate to a high success probability if the treatment effect to detect is based on the perceived ability of the drug candidate. The crucial factor hinges on our knowledge of the drug's ability to deliver the effect used to power the study. The paper discusses a framework to calculate the 'average success probability' and demonstrates how uncertainty about the treatment effect could affect the average success probability for a confirmatory trial. It complements an earlier work by O'Hagan et al. (Pharmaceutical Statistics 2005; 4:187-201) published in this journal. Computer codes to calculate the average success probability are included.