Contrasts and Correlations in Effect-size Estimation

This article describes procedures for presenting standardized measures of effect size when contrasts are used to ask focused questions of data. The simplest contrasts consist of comparisons of two samples (e.g., based on the independent t statistic). Useful effect-size indices in this situation are members of the g family (e.g., Hedges's g and Cohen's d) and the Pearson r. We review expressions for calculating these measures and for transforming them back and forth, and describe how to adjust formulas for obtaining g or d from t, or r from g, when the sample sizes are unequal. The real-life implications of d or g calculated from t become problematic when there are more than two groups, but the correlational approach is adaptable and interpretable, although more complex than in the case of two groups. We describe a family of four conceptually related correlation indices: the alerting correlation, the contrast correlation, the effect-size con-elation, and the BESD (binomial effect-size display) correlation. These last three correlations are identical in the simple setting of only two groups, but differ when there are move than two groups.Psycholog

Curriculum Infusion Through Case Studies: Engaging Undergraduate Students In Course Subject Material and Influencing Behavior Change

This study investigated infusing health promotion topics into an engineering course via problem-based case studies and lecture to assess student learning and self-reported behavior. Junior-level systems engineering students in two sections participated: one section with 52 students and one with 36. One section received a celebratory drinking case; one received distracted driving case and a lecture about hazardous drinking. Student ability ratings related to the course subject matter generally improved with both cases. The lecture appeared to enhance health promotion knowledge. Students self-reported behavior change with both cases. Case studies as a form of curriculum infusion for health promotion topics show promise. The use of case studies overall was well-received by students and coupled with lecture material can increase student health promotion knowledge and behavior change

Does modifying the thick texture and creamy flavour of a drink change portion size selection and intake?

Previous research indicates that a drink's sensory characteristics can influence appetite regulation. Enhancing the thick and creamy sensory characteristics of a drink generated expectations of satiety and improved its actual satiating effects. Expectations about food also play an important role in decisions about intake, in which case enhancing the thick and creamy characteristics of a drink might also result in smaller portion size selection. In the current study forty-eight participants (24 female) completed four test days where they came into the laboratory for a fixed-portion breakfast, returning two hours later for a mid-morning drink, which they could serve themselves and consume as much as they liked. Over the test days, participants consumed an iso-energetic drink in four sensory contexts: thin and low-creamy; thin and high-creamy; thick and low-creamy; thick and high-creamy. Results indicated that participants consumed less of the thick drinks, but that this was only true of the female participants; male participants consumed the same amount of the four drinks regardless of sensory context. The addition of creamy flavour did not affect intake but the thicker drinks were associated with an increase in perceived creaminess. Despite differences in intake, hunger and fullness ratings did not differ across male and female participants and were not affected by the drinks sensory characteristics. The vast majority of participants consumed all of the drink they served themselves indicating that differences in intake reflected portion size decisions. These findings suggest women will select smaller portions of a drink when its sensory characteristics indicate that it will be satiating

Network segregation in a model of misinformation and fact checking

Misinformation under the form of rumor, hoaxes, and conspiracy theories spreads on social media at alarming rates. One hypothesis is that, since social media are shaped by homophily, belief in misinformation may be more likely to thrive on those social circles that are segregated from the rest of the network. One possible antidote is fact checking which, in some cases, is known to stop rumors from spreading further. However, fact checking may also backfire and reinforce the belief in a hoax. Here we take into account the combination of network segregation, finite memory and attention, and fact-checking efforts. We consider a compartmental model of two interacting epidemic processes over a network that is segregated between gullible and skeptic users. Extensive simulation and mean-field analysis show that a more segregated network facilitates the spread of a hoax only at low forgetting rates, but has no effect when agents forget at faster rates. This finding may inform the development of mitigation techniques and overall inform on the risks of uncontrolled misinformation online

The role of interpersonal style in aggression and its containment in a forensic mental health setting:A correlational and pseudoprospective study of patients and nursing staff

Inpatient aggression on mental health wards is common and staff-patient interactions are frequently reported antecedents to aggression. However, relatively little is known about the precise relationship between aggression and these interactions, or their relationships with aggression and staff containment responses such as restraint and seclusion. This study aimed to determine the roles of anger and interpersonal style among mental health nurses and between nurses and patients in the occurrence of aggression and its containment. A correlational, pseudo-prospective study design was employed. n=85 inpatients and n=65 nurses were recruited from adult, low- and medium- secure wards of a secure forensic mental health service. Participants completed validated self-report anger and transactional interpersonal style measures. Inpatient aggression and containment incident data for a 3-month follow-up period were extracted from clinical records. Dyadic nurse-patient relationships were anti-complementary. Patients’ self-reported anger and staff-rated hostile interpersonal style were significantly positively correlated; staff self-reported anger and patient-rated dominant interpersonal style were also positively correlated. Patient anger predicted aggression and their interpersonal style predicted being subject to containment in the form of restraint and seclusion. There were no statistically significant differences identified on measures between staff who were and were not involved in containment. More targeted intervention for patients’ anger may have a positive impact on interpersonal style and lead to the reduction of incidents. Staff education and skills training programmes should emphasise the importance of interpersonal styles which could help to promote and enhance positive interaction

Caveats for using statistical significance tests in research assessments

This paper raises concerns about the advantages of using statistical significance tests in research assessments as has recently been suggested in the debate about proper normalization procedures for citation indicators. Statistical significance tests are highly controversial and numerous criticisms have been leveled against their use. Based on examples from articles by proponents of the use statistical significance tests in research assessments, we address some of the numerous problems with such tests. The issues specifically discussed are the ritual practice of such tests, their dichotomous application in decision making, the difference between statistical and substantive significance, the implausibility of most null hypotheses, the crucial assumption of randomness, as well as the utility of standard errors and confidence intervals for inferential purposes. We argue that applying statistical significance tests and mechanically adhering to their results is highly problematic and detrimental to critical thinking. We claim that the use of such tests do not provide any advantages in relation to citation indicators, interpretations of them, or the decision making processes based upon them. On the contrary their use may be harmful. Like many other critics, we generally believe that statistical significance tests are over- and misused in the social sciences including scientometrics and we encourage a reform on these matters.Comment: Accepted version for Journal of Informetric

Incremental Validity of Patients’ Self-Reported Anger Beyond Structured Professional Judgment Tools in the Prediction of Inpatient Aggression

Mental health inpatients’ self-reported violence risk predicts actual aggressive outcomes. Anger, for which there are well-evidenced interventions, commonly precedes inpatient aggression. We aimed to determine whether patients’ self-reported anger added incremental validity to violence prediction beyond routinely completed violence risk assessments. A correlational, pseudo-prospective study design was employed. N = 76 inpatients in secure hospitals completed self-report validated anger measures; routinely collected clinicians' ratings on structured professional judgment tools, and aggressive incident data for a 3-month follow-up period were extracted from clinical records. Thirty four (45%) participants were violent; self-reported anger and clinician-risk ratings were significantly positively correlated. Self-reported anger predicted aggressive outcomes but not incrementally beyond relevant risk assessment subscale and item scores. It may not be beneficial for all patients to self-report anger as part of continuous violence risk assessments, but those who score highly on anger-relevant items of risk assessment tools could be considered for further assessment to support risk-management interventions