Dating and Sexual Violence Research in the Schools: Balancing Protection of Confidentiality with Supporting the Welfare of Survivors

Rigorous research and program evaluation are needed to understand the experience of dating and sexual violence among youth and the impact of prevention and intervention efforts. Our dilemma in doing this work occurred when youth disclosed dating and sexual violence on a research survey. What responsibility do researchers have to protect survivors’ confidentiality as a research participant versus taking steps to ensure the student has the opportunity to access help? In our evaluation of a pilot dating violence prevention program, our protocols employed widely used procedures for providing resources to participants upon their completion of the survey and de‐identifying survey data. Upon reviewing preliminary survey results, we became concerned that these established procedures were not sufficient to support research participants who were adolescent survivors of dating and sexual violence. We followed a structured ethical decision‐making process to examine legal and ethical considerations, consult with colleagues, consider impacts and alternative solutions, and ultimately find a solution. Through this process, we developed procedures that balance participant confidentiality and the desire to support the welfare of survivors, which other researchers may want to employ when conducting youth sexual and dating violence research in school and community settings.     

Integrative Complexity of 41 U.S. Presidents

Although U.S. presidents are one of the most studied groups of political figures and integrative complexity is one of the most widely used constructs in political psychology, no study to date has fully examined the integrative complexity of all U.S. presidents. The present study helps fill in that gap by scoring 41 U.S. presidents' first four State of the Union speeches for integrative complexity and then comparing these scores with a large range of available situational and personality variables. Results suggest a tendency for presidents' integrative complexity to be higher at the beginning of their first term and drop at the end. This pattern was pronounced for presidents who eventually won reelection to a second term and was markedly different for presidents who tried to gain reelection but lost. Additional analyses suggested that presidents' overall integrative complexity scores were in part accounted for by chronic differences between presidents' complexity levels. Further analyses revealed that this overall integrative complexity score was positively correlated to a set of interpersonal traits (friendliness, affiliation motive, extraversion, and wittiness) and negatively correlated with inflexibility. Discussion centers upon the causes and consequences of presidential complexity.     

Mathematical Intuition and Natural Numbers: A Critical Discussion Charles Parsons, Mathematical Thought and Its Objects, Cambridge University Press, New York, 2008, xx + 378?pp

Charles Parsons’ book “Mathematical Thought and Its Objects” of 2008 (Cambridge University Press, New York) is critically discussed by concentrating on one of Parsons’ main themes: the role of intuition in our understanding of arithmetic (“intuition” in the specific sense of Kant and Hilbert). Parsons argues for a version of structuralism which is restricted by the condition that some paradigmatic structure should be presented that makes clear the actual existence of structures of the necessary sort. Parsons’ paradigmatic structure is the so-called ‘intuitive model’ of arithmetic realized by Hilbert’s strings of strokes. This paper argues that Hilbert’s strings, considered as given in intuition, cannot play the role Parsons assigns to them: the criteria of identity of these strings do not have the sharpness that Parsons wants to see in them, and Parsons inadvertently projects abstract structures into his ‘intuitive model’. This diagnosis is exemplified with respect to (a) Parsons’ distinction between addition and multiplication on the one hand and exponentiation on the other and (b) his analysis of arithmetical knowledge in simple cases like “7 + 5 = 12”. All in all, it is claimed that Parsons book contains many important insights with respect to, for example, different versions structuralism, the notion of “natural number” and its uniqueness, induction, predicativity and other things, for which he is rightly famous, but that his way of drawing on the notion of intuition leaves too many questions unanswered.     

Bayes factor design analysis: Planning for compelling evidence

A sizeable literature exists on the use of frequentist power analysis in the null-hypothesis significance testing (NHST) paradigm to facilitate the design of informative experiments. In contrast, there is almost no literature that discusses the design of experiments when Bayes factors (BFs) are used as a measure of evidence. Here we explore Bayes Factor Design Analysis (BFDA) as a useful tool to design studies for maximum efficiency and informativeness. We elaborate on three possible BF designs, (a) a fixed-n design, (b) an open-ended Sequential Bayes Factor (SBF) design, where researchers can test after each participant and can stop data collection whenever there is strong evidence for either \(\mathcal {H}_{1}\) or \(\mathcal {H}_{0}\), and (c) a modified SBF design that defines a maximal sample size where data collection is stopped regardless of the current state of evidence. We demonstrate how the properties of each design (i.e., expected strength of evidence, expected sample size, expected probability of misleading evidence, expected probability of weak evidence) can be evaluated using Monte Carlo simulations and equip researchers with the necessary information to compute their own Bayesian design analyses.     

Investigating sexual harassment in online video games: How personality and context factors are related to toxic sexual behaviors against fellow players

Online video games are social spaces for players from around the world. They use this space to form communities, relationships, and identities. However, gaming communities are not always welcoming, and some are even perceived as being “toxic.” A prevalent issue is online sexual harassment, which is keeping many women from participating in the gaming community. Research on the factors contributing to the problem is limited, though. The present study replicates and expands previous research, using a sample of 856 online gamers. The study supports earlier findings that found hostile sexism and social dominance orientation as predictors of sexual harassment perpetration in online video games. In addition, we expanded the previous research with additional predictors: machiavellianism, psychopathy, and gamer identification predicted higher sexual harassment perpetration. Our results have implications for the gaming community's role in curtailing sexual harassment and making itself a more inclusive community.     

Truth and Wishful Thinking: How Interindividual Differences in Communal Motives Manifest in Momentary Partner Perceptions

Although rooted in reality, partner perceptions often reflect wishful thinking due to perceivers' needs. Dispositional needs, or motives, can differ between persons; however, little is known about their differential associations with everyday partner perception. The present study used data from a 4-week experience sampling study (N = up to 60942 surveys from 510 individuals nested in 259 couples) to examine the effects of perceivers' partner-related implicit and explicit communal motives on the perception of (i) global communal partner behaviour and (ii) specific communal and uncommunal partner behaviours. The results of truth and bias models of judgement and quasi-signal detection analyses indicate that strong implicit communal approach motives and strong explicit communal motives are associated with the tendency to overestimate the partner's communal behaviour. Additionally, strong implicit communal approach motives were associated with the tendency to avoid perceptions of uncommunal partner behaviour. Neither implicit nor explicit communal motives had an effect on accuracy in the perception of particularly communal partner behaviour. The results highlight the relevance of both implicit and explicit communal motives for momentary partner perceptions and emphasise the benefits of dyadic microlongitudinal designs for a better understanding of the mechanisms through which individual differences manifest in couples' everyday lives. © 2019 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

The psychometric function: II. Bootstrap-based confidence intervals and sampling

The psychometric function relates an observer’s performance to an independent variable, usually a physical quantity of an experimental stimulus. Even if a model is successfully fit to the data and its goodness of fit is acceptable, experimenters require an estimate of the variability of the parameters to assess whether differences across conditions are significant. Accurate estimates of variability are difficult to obtain, however, given the typically small size of psychophysical data sets: Traditional statistical techniques are only asymptotically correct and can be shown to be unreliable in some common situations. Here and in our companion paper (Wichmann & Hill, 2001), we suggest alternative statistical techniques based on Monte Carlo resampling methods. The present paper’s principal topic is the estimation of the variability of fitted parameters and derived quantities, such as thresholds and slopes. First, we outline the basic bootstrap procedure and argue in favor of the parametric, as opposed to the nonparametric, bootstrap. Second, we describe how the bootstrap bridging assumption, on which the validity of the procedure depends, can be tested. Third, we show how one’s choice of sampling scheme (the placement of sample points on the stimulus axis) strongly affects the reliability of bootstrap confidence intervals, and we make recommendations on how to sample the psychometric function efficiently. Fourth, we show that, under certain circumstances, the (arbitrary) choice of the distribution function can exert an unwanted influence on the size of the bootstrap confidence intervals obtained, and we make recommendations on how to avoid this influence. Finally, we introduce improved confidence intervals (bias corrected and accelerated) that improve on the parametric and percentile-based bootstrap confidence intervals previously used. Software implementing our methods is available.     

From the Couch to the Street: Applications of Psychoanalysis to Work with Individuals Who Are Homeless and Mentally Ill

Current-day psychiatric treatment of severely disturbed populations tends to focus on the biological, behavioral, and social dimensions of rehabilitation. This paper addresses the relative neglect of the complex psychodynamic and interpersonal aspects of treatment of individuals who are homeless and mentally ill by presenting two clinical cases that are discussed from various psychoanalytic frames of reference. Based on their clinical experiences, the authors conclude that psychoanalysis offers valuable frameworks to guide the treatment process and the structure of the treatment setting for individuals who are homeless and suffering from severe psychiatric illness.     

Bemerkungen zum Grundlagenstreit in Logik und Mathematik

Ohne Zusammenfassung