Expected sample moments of concomitants of selected order statistics

In this paper, the task of determining expected values of sample moments, where the sample members have been selected based on noisy information, is considered. This task is a recurring problem in the theory of evolution strategies. Exact expressions for expected values of sums of products of concomitants of selected order statistics are derived. Then, using Edgeworth and Cornish-Fisher approximations, explicit results that depend on coefficients that can be determined numerically are obtained. While the results are exact only for normal populations, it is shown experimentally that including skewness and kurtosis in the calculations can yield greatly improved results for other distributions.     

Hierarchy or co-operation: labour-management relations in church institutions

Aspects of industrial relations and internal co-ordination have been a major topic of empirical research in the German business enterprise sector. In contrast, there are practically no empirical investigations into labour-management relations in third sector institutions. The largest share of this sector in Germany is represented by the two Christian churches with presently about 900,000 employees. According to the notion of church officials, labour-management relations in these institutions are characterised by a specific normative concept which emphasises a trustful co-operation of all employees in the mission of the church. The major concern of our research project focused on the question whether the specific conditions of employment within church institutions favour more hierarchical or more co-operative forms of co-ordination and how employees and employee representatives perceive the ideal of the community of service (Dienstgemeinschaftsgedanke). The results of our research lead to the conclusion that church labour-management relations are characterised by a remarkable contrast between the participative or co-operative notion of the ideal of the community of service and present forms of hierarchical co-ordination inside church institutions.This article gives a selected overview of Beyer and Nutzinger (1991). The research was supported by the Hans-Böckler-Stiftung (Düsseldorf) and the University of Kassel.     

Raising rural women’s voices: From self-silencing to self-expression

Within the context of a community-academic partnership, we undertook a mixed-methods study to identify and explore health status, priorities, and management strategies among aging Wisconsin rural women. A questionnaire measuring diverse wellness needs was administered to women participating in personal development programming offered by a rural nonprofit organization. A subgroup participated in qualitative interviews to deepen the understanding of identified health priorities and methods of coping and healing. Findings provide insight into the prevalence of self-silencing among rural women and highlight mechanisms that help to facilitate the dismantling of self-silencing.     

In search of rigor, relevance, and legitimacy: what drives the impact of publications?

In this study, we introduce the concept of legitimacy to the rigor-relevance debate and investigate empirically how rigor, relevance, and legitimacy are related to the process of knowledge dissemination within a research field. We argue that this analysis has been a missing piece in the debate on rigor and relevance when institutional logics about what constitutes both elements lead researchers to act according to what they perceive to be appropriate behavior in the research field. We draw on insights from the micro and macro levels of institutional theory to show how researchers aiming to bestow legitimacy on their own work conform to these “rules of the game”. Using meta-analytical techniques, we focus on the field of strategic entrepreneurship and analyze how rigor- and relevance-related characteristics of studies in this field are linked to their legitimacy and therefore to the impact they have in the research community.     

Bayesian adaptive dose‐escalation designs for simultaneously estimating the optimal and maximum safe dose based on safety and efficacy

The main purpose of dose‐escalation trials is to identify the dose(s) that is/are safe and efficacious for further investigations in later studies. In this paper, we introduce dose‐escalation designs that incorporate both the dose‐limiting events and dose‐limiting toxicities (DLTs) and indicative responses of efficacy into the procedure. A flexible nonparametric model is used for modelling the continuous efficacy responses while a logistic model is used for the binary DLTs. Escalation decisions are based on the combination of the probabilities of DLTs and expected efficacy through a gain function. On the basis of this setup, we then introduce 2 types of Bayesian adaptive dose‐escalation strategies. The first type of procedures, called “single objective,” aims to identify and recommend a single dose, either the maximum tolerated dose, the highest dose that is considered as safe, or the optimal dose, a safe dose that gives optimum benefit risk. The second type, called “dual objective,” aims to jointly estimate both the maximum tolerated dose and the optimal dose accurately. The recommended doses obtained under these dose‐escalation procedures provide information about the safety and efficacy profile of the novel drug to facilitate later studies. We evaluate different strategies via simulations based on an example constructed from a real trial on patients with type 2 diabetes, and the use of stopping rules is assessed. We find that the nonparametric model estimates the efficacy responses well for different underlying true shapes. The dual‐objective designs give better results in terms of identifying the 2 real target doses compared to the single‐objective designs.     

Assessing the Playing Field: A Prospective Longitudinal Study of Internet Sports Gambling Behavior

Internet gambling is growing rapidly, as is concern about its possible effect on the public’s health. This paper reports the results of the first prospective longitudinal study of actual Internet sports gambling behavior during eight study months. Data include recorded fixed-odds bets on the outcome of sporting contests and live-action bets on the outcome of events within contests for 40,499 Internet sports gambling service subscribers who enrolled during February 2005. We tracked the following primary gambling behaviors: daily totals of the number of bets made, money bet, and money won. We transformed these variables into measures of gambling involvement. We analyzed behavior for both fixed-odds and live-action bets. The median betting behavior of the 39,719 fixed-odds bettors was to place 2.5 bets of €4 (approximately $5.3 US) every fourth day during the median 4 months from first to last bet. This typical pattern incurred a loss of 29% of the amount wagered. The median betting behavior of the 24,794 live-action bettors was to place 2.8 wagers of €4 every fourth day during the median duration of 6 weeks at a loss of 18% of the amount wagered. We also examined the behavior of empirically determined groups of heavily involved bettors whose activity exceeded that of 99% of the sample.     

Multiple hypothesis tests based On conditional differences in means

Many hypothesis tests are univariate tests and cannot cope with multiple hypothesis without an auxiliary procedure as e. g. the Bonferroni-Holm-procedure. At the same time, there is an urgent need for testing multiple hypothesis due to the very simple existing methods as the Bonferroni-correction or the Bonferroni-Holm-procedure, which suffers from a very small local significance level to detect statistical inferences or the drawback that logical and statistical dependencies among the test statistics are not used, whereby its detection is NP-hard. In honour of this occasion, we present a multiple hypothesis test for i.i.d. random variables based on conditional differences in means, which is capable to cope with multiple hypothesis and does not suffer on such drawbacks as the Bonferroni-correction or the Bonferroni-Holm-procedure. Thereby, the computation time can be neglected.     

Kontexteffekte in Familien – Angleichung von Paaren und intergenerationale Transmission am Beispiel Religiosität

The present contribution shows conceptual and methodological approaches for the study of social context effects within families. Family members mutually constitute the social context in which family behavior and personality development take place. Social influence in families becomes evident empirically in family members’ significant similarity concerning a wide variety of characteristics. The present study focuses on intrafamily convergence with regard to religiousness. In an empirical illustration, both (a) horizontal intracouple alignment and (b) vertical intergenerational transmission processes are examined. Besides the finding that experiences during religious socialization in the parental home have a stronger impact than partner influences in adulthood, our analyses show that social context effects are more pronounced the stronger the cohesion of the respective interaction dyad is (e.g., according to measures of relationship quality).     

School-based prevention of bullying and relational aggression in adolescence: the fairplayer.manual

The fairplayer.manual is a school-based program to prevent bullying. The program consists of fifteen to seventeen consecutive ninety-minute lessons using cognitive-behavioral methods, methods targeting group norms and group dynamics, and discussions on moral dilemmas. Following a two-day training session, teachers, together with skilled fairplayer.teamers, implement fairplayer.manual in the classroom during regular school lessons. This chapter offers a summary of the program's conception and underlying prevention theory and summarizes the results from two evaluation studies. Standardized questionnaires showed a positive impact of the intervention program on several outcome variables.     

An integrative model of leadership behavior

Decades of questionnaire and interview studies have revealed various leadership behaviors observed in successful leaders. However, little is known about the actual behaviors that cause those observations. Given that lay observers are prone to cognitive biases, such as the halo effect, the validity of theories that are exclusively based on observed behaviors is questionable. We thus follow the call of leading scientists in the field and derive a parsimonious model of leadership behavior that is informed by established psychological theories. Building on the taxonomy of Yukl (2012), we propose three task-oriented behavior categories (enhancing understanding, strengthening motivation and facilitating implementation) and three relation-oriented behavior categories (fostering coordination, promoting cooperation and activating resources), each of which is further specified by a number of distinct behaviors. While the task-oriented behaviors are directed towards the accomplishment of shared objectives, the relation-oriented behaviors support this process by increasing the coordinated engagement of the team members. Our model contributes to the advancement of leadership behavior theory by (1) consolidating current taxonomies, (2) sharpening behavioral concepts of leadership behavior, (3) specifying precise relationships between those categories and (4) spurring new hypotheses that can be derived from existing findings in the field of psychology. To test our model as well as the hypotheses derived from this model, we advocate the development of new measurements that overcome the limitations associated with questionnaire and interview studies.