Influence of competition level on referees’ decision-making in handball

The influence of competition level on referees’ decision-making was investigated. Referees’ decisions in 90 handball games (30 games X 3 competition levels) were observed in different situations related to the advantage rule, and 100 referees from two different levels of expertise were subsequently asked to offer explanations for the competition-level effects from the first part of the study. Results revealed that at the highest level of competition referees intervened less frequently with sporting sanctions, but more frequently with disciplinary sanctions. These effects were apparent mainly in immediate intervention situations and unsuccessful advantage situations, but not in successful situations. Referees explained these effects of competition level in terms of a player competence stereotype, in addition to referees’ different expertise across competition level. The implications of the findings for understanding how status-related stereotypes impact on intervention behavior are discussed.     

The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls

Background

Real-world fall events objectively measured by body-worn sensors can improve the understanding of fall events in older people. However, these events are rare and hence challenging to capture. Therefore, the FARSEEING (FAll Repository for the design of Smart and sElf-adaptive Environments prolonging Independent livinG) consortium and associated partners started to build up a meta-database of real-world falls.

Results

Between January 2012 and December 2015 more than 300 real-world fall events have been recorded. This is currently the largest collection of real-world fall data recorded with inertial sensors. A signal processing and fall verification procedure has been developed and applied to the data. Since the end of 2015, 208 verified real-world fall events are available for analyses. The fall events have been recorded within several studies, with different methods, and in different populations. All sensor signals include at least accelerometer measurements and 58 % additionally include gyroscope and magnetometer measurements. The collection of data is ongoing and open to further partners contributing with fall signals. The FARSEEING consortium also aims to share the collected real-world falls data with other researchers on request.

Conclusions

The FARSEEING meta-database will help to improve the understanding of falls and enable new approaches in fall risk assessment, fall prevention, and fall detection in both aging and disease.

     

Der Einfluss der Gruppengröße auf die Aktivität von Parteimitgliedern

In this paper, we aim to test Olson’s (The logic of collective action: Public goods and the theory of groups, Cambridge, Harvard University Press, 1965) assumptions of group size effects on free-riding tendencies in political parties. Multilevel analyses of the Deutsche Parteimitgliederstudie (German Party Membership Study) 2009 reveal that for members of the CDU, CSU, SPD, FDP and Bündnis 90/Die Grünen, the assumed negative relationship between the number of party members in the district association and their individual level of activity can only be shown for the eastern states of Germany. Moreover, we show that selective incentives are not suitable for reducing the negative impact of a increasing membership figure, while normative incentives are associated with an increasing free-riding tendency with increasing number of members in the western and eastern Bundesländer. Our results only partly support the assumptions on collective action problems and point to a need for further theoretical and empirical research on group size effects and on the role incentives’ play in explaining the activity in political parties.     

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).     

Social Networks and Social Settings: Developing a Coevolutionary View

One way to think about social context is as a sample of alters. To understand individual action, therefore, it matters greatly where these alters may be coming from, and how they are connected. According to one vision, connections among alters induce local dependencies—emergent rules of social interaction that generate endogenously the observed network structure of social settings. Social selection is the decision of interest in this perspective. According to a second vision, social settings are collections of social foci—physical or symbolic locales where actors meet. Because alters are more likely to be drawn from focused sets, shared social foci are frequently considered as the main generators of network ties, and hence of setting structure. Affiliation to social foci is the decision of central interest in this second view. In this paper we show how stochastic actor–oriented models (SAOMs) originally derived for studying the dynamics of multiple networks may be adopted to represent and examine these interconnected systems of decisions (selection and affiliation) within a unified analytical framework. We illustrate the empirical value of the model in the context of a longitudinal sample of adolescent participating in the Glasgow Teenage Friends and Lifestyle Study. Social selection decisions are examined in the context of networks of friendship relations. The analysis treats musical genres as the main social foci of interest.     

Family Intervention and Health Care Costs for Kansas Medicaid Patients with Schizophrenia

Despite a number of studies investigating the effect of pharmacotherapy on treatment costs for schizophrenia patients, there has been little attention given to the effect of family intervention. In this study, data from the Kansas Medicaid system were used to analyze healthcare costs for 164 schizophrenia patients who had participated in family intervention. Structural equation modeling was used to test two competing views of the role of family intervention in treatment. The results showed that a model including direct and indirect effects of family intervention provided a better fit to the data. Family intervention had a significant indirect effect on general medical costs (through other psychological treatment) that showed a savings of $586 for each unit increase in the provision of these services. In addition, the total indirect effects for family intervention showed a $580 savings for general medical costs and $796 for hospitalization costs (for each unit increase).     

Insecure Attachment Behavior and Partner Violence: Incorporating Couple Perceptions of Insecure Attachment and Relational Aggression

Intimate partner violence and insecure attachment are therapeutically relevant concepts when working with couples. The link between attachment and intimate partner violence has been examined in the literature, but an area of aggression that often goes unexamined is relational aggression, or using third parties as a means of being aggressive toward a partner. We asked how participants' attachment behaviors were related to their own and partners' relational and physical aggression. We used structural equation modeling to estimate actor–partner interdependence among these relationships in 644 heterosexual couples. Results indicated significant partner paths from attachment to relational aggression, as well as significant actor paths between relational aggression and physical aggression. Implications were discussed. Data for this study were collected from the RELATE assessment.     

“Don’t Argue with the Members”

Mel Pollner regularly cautioned researchers not to argue with the members of settings under consideration. He warned against substituting the researcher’s meaning for the meanings of those being studied. This article discusses facets of the caution as they relate to the research process. Seemingly simple, the tenet is nuanced in application. The article adds to the nuance by distinguishing what is called the “replacement” of meaning with the “displacement” of meaning, providing a way of understanding what members could mean if the contexts and settings of their accounts were taken into consideration.     

Using agency data for evidence-based programming: a university-agency collaboration

Agencies providing residential treatment are encouraged, or even mandated, to collect outcomes data and to implement evidence based practices, yet little guidance has been provided on how to do so using agency administrative data that are collected on an ongoing basis. We examined data on Child and Adolescent Functional Assessment Scale (CAFAS) scores for 1608 admissions to a residential treatment center from 2002 through 2008. CAFAS scores were measured every 90 days, providing multiple CAFAS scores for each individual. Results demonstrated that on average residents improved in functioning over time. Sensitive to the evolving needs of residents who had been entering the program, the treatment center made significant program changes in 2006 to attempt to better serve residents through a broad array of specialized programming. Compared to the overall results, the analysis suggested that residents who entered the program since October 2006 appeared to have made larger improvements in their CAFAS scores. Results were derived by employing multilevel models appropriate for estimating growth trajectories with repeated measures data. Conversations with agency staff suggested that using administrative data, and advanced statistical models, were extremely helpful for organizational decision making and evidence-based programming.