Reduction,externalism and immanence in Husserl and Heidegger

This paper argues that the Husserl–Heidegger relationship is systematically misunderstood when framed in terms of a distinction between internalism and externalism. Both philosophers, it is argued, employ the phenomenological reduction to immanence as a fundamental methodological instrument. After first outlining the assumptions regarding inner and outer and the individual and the social from which recent epistemological interpretations of phenomenology begin, I turn to the question of Husserl’s internalism. I argue that Husserl can only be understood as an internalist on the assumption that immanence equates with internal. This, however, is not the case as can be seen once the reduction is understood not as setting aside the existence of the world, but rather a reflection on its meaning. Turning to Heidegger, I argue that his commitment to a form of the phenomenological reduction precludes him from being either a semantic or a social externalist. The place of authenticity and the first person perspective in his work derive from his phenomenological commitments, which can be seen in his accounts of discourse and language and of falling (Verfallen). I then go on to briefly outline a more plausible basis for understanding the difference between Husserl’s and Heidegger’s phenomenologies in terms of their respective emphases on logic and on poetics.     

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.     

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.     

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.     

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     

Frequency of Nightmares and Gender Significantly Predict Distressing Dreams of German Athletes Before Competitions or Games

Important sports events are highlights and stressful situations in every athlete's career. This stress might alter the dream content of athletes and consequently evoke disturbed dreaming. In this study, the authors asked 840 German athletes from various sports about distressing dreams on the nights before an important competition or game. About 15% of the athletes stated that they experienced at least 1 distressing dream before an important competition or game during the preceding 12 months. An almost equal number of athletes reported at least 1 distressing dream in their sports career. With respect to the base rate, in about 3% of the events a distressing dream occurred. Reported dream content referred mainly to athletic failure. The main risk factor for an athlete experiencing a distressing dream before a competition appears to be the frequency of experienced nightmares in general. Future research should use diary techniques to study the impact of distressing dreams on the next-day athletic performance in a competition or game.     

A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems

The treatment of missing data in the social sciences has changed tremendously during the last decade. Modern missing data techniques such as multiple imputation and full-information maximum likelihood are used much more frequently. These methods assume that data are missing at random. One very common approach to increase the likelihood that missing at random is achieved consists of including many covariates as so-called auxiliary variables. These variables are either included based on data considerations or in an inclusive fashion; that is, taking all available auxiliary variables. In this article, we point out that there are some instances in which auxiliary variables exhibit the surprising property of increasing bias in missing data problems. In a series of focused simulation studies, we highlight some situations in which this type of biasing behavior can occur. We briefly discuss possible ways how one can avoid selecting bias-inducing covariates as auxiliary variables.     

Literatur in Examensarbeiten

After the Second World War up to the 1980s Harald Schultz-Hencke’s so-called German neopsychoanalysis was an important theoretical reference for psychoanalysts in the German Psychoanalytical Society (DPG). Simultaneously, however, references were increasingly being made to quintessential psychoanalytical sources which of course had an impact on the psychoanalytical training. The references in final papers of a DPG psychoanalytical institute from 1971–2008 were compared to the references in clinical papers of the International Journal of Psychoanalysis. It can be shown that the influence of German neopsychoanalysis in the final theses of the psychoanalytical institute in question has diminished since the 1990s and has become irrelevant in the twenty-first century.