Catching up with wonderful women: The women‐are‐wonderful effect is smaller in more gender egalitarian societies

Inequalities between men and women are common and well‐documented. Objective indexes show that men are better positioned than women in societal hierarchies—there is no single country in the world without a gender gap. In contrast, researchers have found that the women‐are‐wonderful effect—that women are evaluated more positively than men overall—is also common. Cross‐cultural studies on gender equality reveal that the more gender egalitarian the society is, the less prevalent explicit gender stereotypes are. Yet, because self‐reported gender stereotypes may differ from implicit attitudes towards each gender, we reanalysed data collected across 44 cultures, and (a) confirmed that societal gender egalitarianism reduces the women‐are‐wonderful effect when it is measured more implicitly (i.e. rating the personality of men and women presented in images) and (b) documented that the social perception of men benefits more from gender egalitarianism than that of women.     

Training analysis and training models

This article has the intention of giving impulses to a hopefully more creative and open-minded discussion of the function of training analysis and the kind of training model we seem to take for granted in the Scandinavian countries, the Eitingon model. I will consider some historical background data on this model as well as some historical data on the development in France which have created an alternative model of training. Especially in Sweden, there has been a stormy debate during the last years about the training analyst functions and some members have actually decided to leave our association because of this. I would like to try to shift focus from just a ‘yes-or-no-perspective’? to a broader question of our psychoanalytical society’s purpose and structure and how the training-model could sustain it.     

Investigation into Complementary and Integrative Health Approaches for Turkish Patients with Gastrointestinal Cancer

Journal of Religion and Health - The study was conducted to determine the levels of usage of complementary and integrative health (CIH) approaches and the symptoms experienced by Turkish patients...     

Clinician-Guided Assessment of Personality Using the Structural Interview and the Structured Interview of Personality Organization (STIPO)

This article demonstrates the utility of a theory-guided psychodynamic approach to the assessment of personality and personality pathology based on the object relations model developed by Kernberg (1984). We describe a clinical interview, the Structural Interview (SI; Kernberg, 1984), and also a semistructured approach, the Structured Interview of Personality Organization (STIPO; Clarkin, Caligor, Stern, & Kernberg, 2004) based on this theoretical model. Both interviews focus on the assessment of consolidated identity versus identity disturbance, the use of adaptive versus lower level defensive operations, and intact versus loss of reality testing. In the context of a more clinically oriented assessment, the SI makes use of tactful confrontation of discrepancies and contradictions in the patient's narrative, and also takes into account transference and countertransference phenomena, whereas the more structured approach of the STIPO incorporates clinical judgment informed by clinical theory into a well-guided interaction with the patient. Both interviews have good interrater reliability and are coherent with the alternative model for personality disorder diagnosis proposed by the Diagnostic and Statistical Manual of Mental Disorders (5th ed.), Section III. Finally, they provide the clinician with specific implications for prognosis and treatment planning and can rationally guide clinical decision making.     

Evidence for the Trait-Impulsivity Etiological Model in a Clinical Sample: Bifactor Structure and Its Relation to Impairment and Environmental Risk

The trait-impulsivity etiological model assumes that a general factor (trait-impulsivity) underlies attention-deficit/hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and other externalizing disorders. We investigated the plausibility of this assumption by testing the factor structure of ADHD and ODD in a bifactor framework for a clinical sample of 1420 children between 6 and 18 years of age (M = 9.99, SD = 3.34; 85% male). Further, the trait-impulsivity etiological model assumes that ODD emerges only if environmental risk factors are present. Our results support the validity of the trait-impulsivity etiological model, as they confirm that ADHD and ODD share a strong general factor of disruptive behavior (DB) in this clinical sample. Furthermore, unlike the subdimensions of ADHD, we found that the specific ODD factor explained as much true score variance as the general DB factor. This suggests that a common scale of ADHD and ODD may prove to be as important as a separate ODD subscale to assess externalizing problems in school-age children. However, all other subscales of ADHD may not explain sufficient true score variance once the impact of the general DB factor has been taken into consideration. In accordance with the trait-impulsivity model, we also showed that all factors, but predominantly the general factor and specific inattention factor, predicted parent-rated impairment, and that predominantly ODD and impulsivity are predicted by environmental risk factors.     

The Psychometric Properties of the Swedish Version of the General Self-Efficacy Scale: A Rasch Analysis Based on Adolescent Data

Self-efficacy describes people’s belief in their own ability to perform the behaviors required to produce a desired outcome. The purpose of this study was to examine the psychometric properties of the Swedish version of the General Self-Efficacy Scale (GSES) with an adolescent sample, using Rasch analysis. The scale was examined with a focus on invariant functioning along the latent trait as well as across sample groups. The data were collected 2009 and 2010 among 3764 students aged between 13 and 15 years, in the 7^th to 9^th grade, in compulsory schools in the municipality of Karlstad, Sweden. The item fit was acceptable, the categorization of the items worked well and the scale worked invariantly between years of investigations. Although the GSES worked well as a whole, there was some evidence of misfit indicating room for improvements. The targeting may be improved by adding more questions of medium difficulty. Also, further attention needs to be paid to the dimensionality of the GSES as well as to whether the psychometric properties of GSES are affected by using more recent data.     

Bayesian inference for psychology. Part II: Example applications with JASP

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.     

Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications

Bayesian parameter estimation and Bayesian hypothesis testing present attractive alternatives to classical inference using confidence intervals and p values. In part I of this series we outline ten prominent advantages of the Bayesian approach. Many of these advantages translate to concrete opportunities for pragmatic researchers. For instance, Bayesian hypothesis testing allows researchers to quantify evidence and monitor its progression as data come in, without needing to know the intention with which the data were collected. We end by countering several objections to Bayesian hypothesis testing. Part II of this series discusses JASP, a free and open source software program that makes it easy to conduct Bayesian estimation and testing for a range of popular statistical scenarios (Wagenmakers et al. this issue).     

Optimizing Exposure Therapy for Pathological Health Anxiety: Considerations From the Inhibitory Learning Approach

Exposure therapy has demonstrated its efficacy in the treatment of pathological health anxiety—however, psychotherapy research reveals that many patients do not show a clinically significant change. Therefore, improvements are necessary to optimize psychotherapy for pathological health anxiety. Most treatment rationales refer to habituation during exposure as the central mechanism of change. However, there is evidence that extinction learning is mediated by inhibitory learning processes. Targeting these processes may help to improve treatment outcomes in pathological health anxiety. The aim of this review was to adapt, from the inhibitory learning approach and empirical findings, the most promising strategies for the exposure-based treatment of pathological health anxiety. The exposure-optimizing strategies adapted are expectancy violation, combination, variability in contexts and stimuli, affect labeling, and removal of safety signals. A case example illustrates how to implement these methods for patients with pathological health anxiety.