Status generalization in context: The moderating role of groups

Status generalization has been described as a process directly linking social status at the societal level to influence in interpersonal interactions, providing one mechanism through which status inequalities in society are maintained. It is argued in this paper that groups can moderate status generalization when a status characteristic is non-prototypical of the group. Two experiments are reported that measured the relative influence of an older and younger target within different group contexts: an undergraduate student group and a broader university group. In both experiments, the older target was more influential than the younger target in the context of the university group, but the younger target was more influential in the context of the undergraduate student group. Findings are discussed in relation to status generalization and referent informational influence as separate influence processes.     

Conceptual Hierarchies in a Flat Attractor Network: Dynamics of Learning and Computations

The structure of people's conceptual knowledge of concrete nouns has traditionally been viewed as hierarchical ( Collins & Quillian, 1969 ). For example, superordinate concepts ( vegetable ) are assumed to reside at a higher level than basic-level concepts ( carrot ). A feature-based attractor network with a single layer of semantic features developed representations of both basic-level and superordinate concepts. No hierarchical structure was built into the network. In Experiment and Simulation 1, the graded structure of categories (typicality ratings) is accounted for by the flat attractor network. Experiment and Simulation 2 show that, as with basic-level concepts, such a network predicts feature verification latencies for superordinate concepts ( vegetable ). In Experiment and Simulation 3, counterintuitive results regarding the temporal dynamics of similarity in semantic priming are explained by the model. By treating both types of concepts the same in terms of representation, learning, and computations, the model provides new insights into semantic memory.     

Joint effects of social networks and information giving on innovative performance after organizational entry

We combine the social network approach and organizational socialization literature in order to examine the influence of social networks and proactive behavior on newcomers' innovative performance. A sample of new employees completed questionnaires on social network and proactive measures, and their supervisors rated their innovative performance. The results suggest that both sparse (low density) social networks and newcomers' information giving were related to innovative performance. The results also indicate that information giving moderated the relation between sparse social networks and innovative performance: when newcomers' information giving was high, the characteristics of their social networks were not related to their innovative performance.     

It is more than personal: Development and validation of a multidimensional privacy orientation scale

This study summarizes the development and validation of a multidimensional privacy orientation scale designed for measuring privacy attitudes of Social Network Site (SNS) users. Findings confirm the existence of four dimensions: (1) belief in the value of “privacy as a right”; (2) “other-contingent privacy”; (3) “concern about own informational privacy” and (4) “concern about privacy of others.” Moreover, a segmentation of SNS users based on these attitude scores reveals three types of users: (1) privacy advocates, who are concerned about both their own and other people’s privacy; (2) privacy individualists, who are concerned mostly about their own privacy, and (3) privacy indifferents, whose score on all dimensions are lower than other segments. The results indicate that the four privacy orientation dimensions and three user segments predict key differences in terms of privacy protective behavior, information disclosure, and viewing personal information of others.     

Integrating the Automatic and the Controlled: Strategies in Semantic Priming in an Attractor Network With Latching Dynamics

Semantic priming has long been recognized to reflect, along with automatic semantic mechanisms, the contribution of controlled strategies. However, previous theories of controlled priming were mostly qualitative, lacking common grounds with modern mathematical models of automatic priming based on neural networks. Recently, we introduced a novel attractor network model of automatic semantic priming with latching dynamics. Here, we extend this work to show how the same model can also account for important findings regarding controlled processes. Assuming the rate of semantic transitions in the network can be adapted using simple reinforcement learning, we show how basic findings attributed to controlled processes in priming can be achieved, including their dependency on stimulus onset asynchrony and relatedness proportion and their unique effect on associative, category‐exemplar, mediated and backward prime‐target relations. We discuss how our mechanism relates to the classic expectancy theory and how it can be further extended in future developments of the model.     

To change or not to change: A matter of decision maker’s role

The status quo effect derived from loss aversion is common in decision making. However, we propose that advisors (vs. personal decision makers) are less susceptible to such an effect because they are less loss-averse. The difference in loss aversion between personal decision makers and advisors is reflected in both the query order and content. Compared to advisors, personal decision makers produce more queries favoring the status quo, at an earlier time, than those favoring the new option. As hypothesized, the status quo effect was observed among personal decision makers, but not among advisors (Studies 1 and 2). Query order and content were found to mediate the impact of decision maker’s role on the status quo effect (Study 2). When personal decision makers and advisors made queries in the same order (Study 3) or of the same content (Studies 4a and 4b), the difference between self–other decision making disappeared.     

Dynamic Social Networks in Recovery Homes

Acute treatment aftercare in the form of sober living environments—i.e., recovery houses—provide an inexpensive and effective medium-term treatment alternative for many with substance use disorders. Limited evidence suggests that house-situated social relationships and associated social support are critical determinants of how successful these residential experiences are for their members, but little is known about the mechanisms underlying these relationships. This study explored the feasibility of using dynamic social network modeling to understand house-situated longitudinal associations among individual Alcoholics Anonymous related recovery behaviors, length of residence, dyadic interpersonal trust, and dyadic confidant relationship formation processes. Trust and confidant relationships were measured 3 months apart in U.S. urban-area recovery houses, all of which were part of a network of substance use recovery homes. A stochastic actor-based model was successfully estimated from this data set. Results suggest that confidant relationships are predicted by trust, while trust is affected by recovery behaviors and length of residence. Conceptualizing recovery houses as a set of independent, evolving social networks that can be modeled jointly appears to be a promising direction for research.     

The Individualised Patient‐Progress System: A decade of international collaborative networking

Background: The backstage of research projects is seldom presented to the general audience, in particular, how the research questions emerged, how the team interacted and how the methods and design were decided upon. Aim: In this paper we will recount the story behind an international practice‐based research network for personalising health assessment, the joint journey of researchers and therapists from three different countries in creating the Individualised Patient‐Progress System (IPPS). Results: We first describe how the idea of the IPPS emerged; then we show how IPPS is being piloted and integrated into clinical practice. Next, we present the views of therapists and researchers who have been part of this project. Conclusions: We discuss some lessons learned from this 14‐year collaborative research programme.     

How school-based dancing classes change affective and collaborative networks of adolescents

ObjectiveThe present research investigated the effects of adolescents' co-participation in a federally funded dance intervention project on students' affective and collaborative networks. In the intervention, students instructed by professional dancers collaboratively developed a dance-choreography during regular class hours in student groups. We expected that the number of reciprocated affective and collaborative ties should increase in classrooms participating in the intervention, but that boys should particularly benefit from the intervention.DesignWe used a quasi-experimental untreated control group design with dependent pretest and posttest samples. Participants were 421 youths (48% boys) in 23 classrooms of primary and secondary schools in Berlin, Germany. Of these, 226 (54%) participated in the intervention. Classrooms from the same grade and school were recruited as comparison groups. We assessed both networks using sociometric questionnaires.Method/ResultsWe found a significant Treatment × Gender interaction showing that reciprocated collaborative relations increased only for boys in the intervention group. Analyses probing potential mechanisms showed this was due to their choosing more collaboration partners, in particular more girls.ConclusionFindings suggest that school-based dancing programs encouraging coordinated physical activity in student groups may be particularly beneficial for boys, encouraging them to consider girls as academic cooperation partners and to proactively develop their collaborative networks.