Der Stand der Coachingforschung: Kernergebnisse der vorliegenden Metaanalysen

The present article provides a quantitative overview of the state of coaching research. It first provides an insight into the status quo of the academic publishing landscape. Afterwards, results of the four meta-analyes that have been published on coaching research up to now are summarized. First, results on the efficacy of coaching or coaching outcomes are presented. Findings for different outcome measures as well as different study designs are reported. Next, results on predictors of coaching success are presented. They include specific features of the coaching process and setting, the coach-coachee-relationship as well as characteristics of coaches and coachees. The article closes with a summary and an assessment of the state of coaching research.     

Can We Improve the Measurement of Attitudes Towards the Welfare State? A Constructive Critique of Survey Instruments with Evidence from Focus Groups

There is a large and growing literature on welfare state attitudes, most of which is built on random-sample population surveys with standardised closed-question items. This article criticises the existing survey instruments, especially those that are used within the International Social Survey Programme, in a novel approach with focus group data from Germany. The article demonstrates: firstly, these instruments underestimate the inconsistency (the degree to which attitudes logically contradict each other), the uncertainty (the degree to which individuals are unsure about what to think), the ambivalence (the simultaneous occurrence of positive and negative reactions) and non-attitudes towards welfare state activities that common people have. Secondly, the meaning of these items to respondents seems to vary to such an extent that inference based on such measures is questionable. Finally, the article concludes by suggesting some survey instruments that alleviate these measurement problems.     

Perceived Economic Uncertainty and Fertility: Evidence From a Labor Market Reform

Whereas in theory individuals tend to postpone fertility decisions in times of economic uncertainty, empirical evidence on that question is scarce. Using data from the German Socio‐Economic Panel (N = 4,548), the authors estimated the effect of economic concerns on the probability of becoming pregnant in the next year. They exploited exogenous variation in economic concerns induced by the announcement of a major German unemployment benefit reform as an instrumental variable and found that strong economic concerns were significantly related to lower fertility of women between ages 26 and 44 years cohabiting with a male partner. Jointly estimating the impact of male and female concerns in a model that allows for endogeneity of perceived economic uncertainty revealed that it was strong economic concerns perceived by the women that reduced fertility. The effect was driven by male main breadwinner couples, by couples with a medium household income, and by couples who already had children.     

Sexual abuse allegations by children with neuropsychiatric disorders

All Swedish court cases from 2004 and 2006 concerning alleged child sexual abuse (sexual harassment excluded) were identified through criminal registers. Fourteen cases (one boy) concerned a child with a neuropsychiatric disorder. The diagnostic groups were mental retardation (10 cases), autism (three cases), and ADHD (one case). Psychiatric experts were engaged in only two cases. When experts were involved, the courts focused on credibility issues. When the courts applied neuropsychiatric arguments in the absence of an expert, they used developmental arguments. When the authors found that significant neuropsychiatric issues were not discussed by the court it concerned interpretations of symptoms and developmental standpoints. The results illustrate the complexity and pitfalls of drawing conclusions about associations between symptoms and personality characteristics on one side and accuracy of sexual abuse allegations on the other. Moreover, the results highlight the importance of a high quality system for providing courts with adequate neuropsychiatric knowledge.     

Eine Webinar-Reihe mit einer interkulturellen Gruppe im Fach Sozialpsychologie – und was man für Coaching und Training daraus lernen kann

The realization of virtual classes and teaching in an intercultural group include certain characteristics. How lectures and tutorials can be put into practice as Webinars and how knowledge transfer concerning social psychology and communication in a cultural diverse group can be shaped and how these learnings can get connected to coaching, training and counselling is the subject matter of this article.     

The Signed Mantel test to cope with autocorrelation in comparative analyses

In biology, medicine and anthropology, scientists try to reveal general patterns when comparing different sampling units such as biological taxa, diseases or cultures. A problem of such comparative data is that standard statistical procedures are often inappropriate due to possible autocorrelation within the data. Widespread causes of autocorrelation are a shared geography or phylogeny of the sampling units. To cope with possible autocorrelations within comparative data, we suggest a new kind of the Mantel test. The Signed Mantel test evaluates the relationship between two or more distance matrices and allows trait variables facultatively to be represented as signed distances (calculated as signed differences or quotients). Considering the sign of distances takes into account the direction of an effect found in the data. Since different metrics exist to calculate the distance between two sampling units from the raw data and because the test results often depend on the kind of metric used, we suggest validating analysis by comparing the structures of the raw and the distance data. We offer a computer program that is able to construct both signed and absolute distance matrices, to perform both customary and Signed Mantel tests, and to explore raw and distance data visually.     

Modelling method effects as individual causal effects

Summary.  Method effects often occur when different methods are used for measuring the same construct. We present a new approach for modelling this kind of phenomenon, consisting of a definition of method effects and a first model, the method effect model , that can be used for data analysis. This model may be applied to multitrait–multimethod data or to longitudinal data where the same construct is measured with at least two methods at all occasions. In this new approach, the definition of the method effects is based on the theory of individual causal effects by Neyman and Rubin. Method effects are accordingly conceptualized as the individual effects of applying measurement method j instead of k . They are modelled as latent difference scores in structural equation models. A reference method needs to be chosen against which all other methods are compared. The model fit is invariant to the choice of the reference method. The model allows the estimation of the average of the individual method effects, their variance, their correlation with the traits (and other latent variables) and the correlation of different method effects among each other. Furthermore, since the definition of the method effects is in line with the theory of causality, the method effects may (under certain conditions) be interpreted as causal effects of the method. The method effect model is compared with traditional multitrait–multimethod models. An example illustrates the application of the model to longitudinal data analysing the effect of negatively (such as 'feel bad') as compared with positively formulated items (such as 'feel good') measuring mood states.