Goethes Studienkrise, Depression und seine Selbstbehandlungsstrategien

From a present day diagnostic viewpoint Goethe suffered from several episodes of depression beginning with his study crisis. In addition he wrote that he had a tendency towards dysthymic moods. In terms of modern psychotherapeutic procedures the various levels of Goethe’s self-therapy strategies are remarkable: acceptance of helpful bonding and relationships, correction of dysfunctional behavior and modification of pathogenic conceptions and beliefs as well as remembrance, enactment and mentalization of psychodynamic conflicts. Finally at an existential level his salutogenic strategies served to invoke a sence of coherence often threatened in his life. Anxieties, dysthymic moods, lack of self-esteem and existential conflicts were for him not only the reason and motive for realization of his extraordinary artistic potential. For modern psychotherapists and patients it is interesting that the acceptance of dysthymic moods and psychological conflicts and the transformation through relationships, cognitive behavior-oriented and psychodynamic strategies as well as an existential self-effective striving also lead to everyday creativity, i.e. coping with life.     

Psychotherapeutenausbildung aus Sicht der Absolventen

Background

A survey was performed to assess the current situation in education and to identify critical issues 10 years after the inception of the psychotherapy act in Germany.

Methods

In August 2008 all non-medical psychotherapists who had graduated since 2002 according the psychotherapy act were invited to take part in the survey and a total of 863 persons participated. The answers from 666 could be evaluated corresponding to a participation rate of 20%.

Results

A total of 57.6% of the graduates had completed a full-time training and approximately 50% of the graduates had completed the training within the allotted time. In the majority of cases evaluation occurred only for the theoretical courses. During the practical work (PT I) 36.8% of the graduates did not receive any salary or remuneration, 82% had their own field of activity and of these 38% treated patients without the presence of qualified tutor.

Conclusions

The training often lasts longer than intended, the financial situation in the PT I is exceptionally critical and in clear contrast to the field of activity in this section of training. Further detailed results will be presented and discussed.     

Work engagement and financial returns: A diary study on the role of job and personal resources

This study investigates how daily fluctuations in job resources (autonomy, coaching, and team climate) are related to employees' levels of personal resources (self‐efficacy, self‐esteem, and optimism), work engagement, and financial returns. Forty‐two employees working in three branches of a fast‐food company completed a questionnaire and a diary booklet over 5 consecutive workdays. Consistent with hypotheses, multi‐level analyses revealed that day‐level job resources had an effect on work engagement through day‐level personal resources, after controlling for general levels of personal resources and engagement. Day‐level coaching had a direct positive relationship with day‐level work engagement, which, in‐turn, predicted daily financial returns. Additionally, previous days' coaching had a positive, lagged effect on next days' work engagement (through next days' optimism), and on next days' financial returns.     

Optimum sample size allocation to minimize cost or maximize power for the two‐sample trimmed mean test

When planning a study, sample size determination is one of the most important tasks facing the researcher. The size will depend on the purpose of the study, the cost limitations, and the nature of the data. By specifying the standard deviation ratio and/or the sample size ratio, the present study considers the problem of heterogeneous variances and non‐normality for Yuen's two‐group test and develops sample size formulas to minimize the total cost or maximize the power of the test. For a given power, the sample size allocation ratio can be manipulated so that the proposed formulas can minimize the total cost, the total sample size, or the sum of total sample size and total cost. On the other hand, for a given total cost, the optimum sample size allocation ratio can maximize the statistical power of the test. After the sample size is determined, the present simulation applies Yuen's test to the sample generated, and then the procedure is validated in terms of Type I errors and power. Simulation results show that the proposed formulas can control Type I errors and achieve the desired power under the various conditions specified. Finally, the implications for determining sample sizes in experimental studies and future research are discussed.     

Fixed‐links models for investigating experimental effects combined with processing strategies in repeated measures designs: A cognitive task as example

Fixed‐links models enable the investigation of experimental effects in combination with processing strategies in the framework of repeated measures designs. The consideration of different processing strategies is reasonable whenever the task requirements can be met in different ways. Effects due to specific processing strategies become obvious in comparing the models representing these processing strategies and also by investigating the variances of the corresponding latent variables. The usefulness of such models is demonstrated by the reaction time data of a cognitive task including three treatment levels. Two different processing strategies were considered: analytic and holistic. The results indicated that the participants applied both processing strategies. The analytic strategy was primarily applied for performing with respect to the second and third treatment levels and the holistic strategy with respect to the first treatment level.     

Improved Fisher z estimators for univariate random‐effects meta‐analysis of correlations

Several authors have studied or used the following estimation strategy for meta‐analysing correlations: obtain a point estimate or confidence interval for the mean Fisher z correlation, and transform this estimate to the Pearson r metric. Using the relationship between Fisher z and Pearson r random variables, I demonstrate the potential discrepancy induced by directly z‐to‐r transforming a mean correlation parameter. Point and interval estimators based on an alternative integral z‐to‐r transformation are proposed. Analytic expressions for the expectation and variance of certain meta‐analytic point estimators are also provided, as are selected moments of correlation parameters; numerical examples are included. In an application of these analytic results, the proposed point estimator outperformed its usual direct z‐to‐r counterpart and compared favourably with an estimator based on Pearson r correlations. Practical implications, extensions of the proposed estimators, and uses for the analytic results are discussed.     

Cross validation issues in multiobjective clustering

The implementation of multiobjective programming methods in combinatorial data analysis is an emergent area of study with a variety of pragmatic applications in the behavioural sciences. Most notably, multiobjective programming provides a tool for analysts to model trade offs among competing criteria in clustering, seriation, and unidimensional scaling tasks. Although multiobjective programming has considerable promise, the technique can produce numerically appealing results that lack empirical validity. With this issue in mind, the purpose of this paper is to briefly review viable areas of application for multiobjective programming and, more importantly, to outline the importance of cross‐validation when using this method in cluster analysis.     

Multilevel modelling: Beyond the basic applications

Over the last 30 years statistical algorithms have been developed to analyse datasets that have a hierarchical/multilevel structure. Particularly within developmental and educational psychology these techniques have become common where the sample has an obvious hierarchical structure, like pupils nested within a classroom. We describe two areas beyond the basic applications of multilevel modelling that are important to psychology: modelling the covariance structure in longitudinal designs and using generalized linear multilevel modelling as an alternative to methods from signal detection theory (SDT). Detailed code for all analyses is described using packages for the freeware R.     

Decomposing self‐estimates of intelligence: Structure and sex differences across 12 nations

This study examines the structure of self‐estimates of intelligence (SEI) across 12 nations (Australia, Austria, Brazil, France, Iran, Israel, Malaysia, South Africa, Spain, Turkey, UK and US). Participants rated themselves on general and specific abilities from three popular models of intelligence: Gardner's multiple intelligences, Sternberg's triarchic theory of intelligence, and Goleman's emotional intelligence. The results showed that (a) laypeople across nations have similar and invariant concepts of intelligence, (b) concepts of intelligence are cross‐culturally closely related to academic notions of intellectual ability and (c) sex differences in general and specific SEI favouring men are consistent across countries. Male hubris and female humility in SEI seem independent of sex differences in actual cognitive ability and national levels of masculinity‐femininity. Furthermore, international mean differences in general SEI could not be attributed to discrepancies in national intelligence quotient (IQ) levels or to cultural variations.     

Childhood maltreatment and adult personality disorder symptoms in a non‐clinical sample

It can be argued that the well‐substantiated relationship between childhood maltreatment and adult personality disorder (PD) symptoms may be confounded by comorbid symptoms of depression, anxiety or dysfunctional childhood family environments. Therefore, the current study was designed to test the hypothesis that retrospective reports of childhood maltreatment would still be significantly related to reports of more PD symptoms when statistically controlling for these factors. One hundred and seventy‐eight non‐clinical participants were divided into groups reporting childhood maltreatment (n = 54) or not (n = 124) according to scores on the Childhood Trauma Questionnaire. Participants also completed questionnaires measuring current depression, anxiety, and PD symptoms as well as retrospective reports of their childhood environment. Results showed that individuals reporting childhood maltreatment reported more symptoms of PD than those not reporting childhood maltreatment, even when statistically controlling for depression, anxiety and retrospective reports of dysfunctional family environment. These findings underscore the relevance and independent contribution of childhood maltreatment to the development of PDs, with important implications for further research and clinical practice.