Modeling Second-Order Expectations

2002 ◽  
Vol 20 (3) ◽  
pp. 306-327 ◽  
Author(s):  
Murray Webster ◽  
Joseph M. Whitmeyer

Theory-building is a continual, collective enterprise in which success is judged by logical consistency and successful explanation and prediction of specified empirical facts from a minimal set of assumptions. We describe some new attempts to develop Interactionist ideas on how communicated opinions from others can affect face-to-face interaction patterns and definitions of a social situation, including identities of the interactants. Our attempts take the form of developing theoretical models of how others' evaluative opinions are incorporated into existing performance expectations. We show how model-building depends on existing theoretical ideas and empirical evidence. The description illustrates some ways in which contemporary sociological theory develops.

1986 ◽  
pp. 31-43 ◽  
Author(s):  
Jürgen Margraf ◽  
Anke Ehlers ◽  
Walton T. Roth

Author(s):  
Francesca Culasso ◽  
Sara Giovanna Mauro

The aim of this chapter is to analyze the business model of an innovative company in the context of a smart city. Specifically, this research investigates key components and challenges concerning the operationalization of a business model originally conceived to be sustainable. This chapter relies on the analysis of the empirical evidence collected at the organizational level by combining different data sources, including official and internal documents, face-to-face interviews, and questionnaires. It is thus designed to contribute to the lively debate on sustainability by providing empirical evidence and shedding light on the operationalization of the concept of sustainable business model. Further, in light of the smart context where the company operates, this research paves the way for further investigation into the potential win-win collaboration between innovative companies and smart cities to foster sustainability consistent with a systems approach to the topic.


Author(s):  
Donald N. Philip

This paper describes use of social network analysis to examine student interaction patterns in a Grade 5/6 Knowledge Building class. The analysis included face-to-face interactions and interactions in the Knowledge Forum® Knowledge Building environment. It is argued that sociogram data are useful to reveal group processes; in sociological terms, the community lies in the connections among the group. A classroom of unconnected individuals is unlikely to form as a Knowledge Building community; data analyses reported in this study show promise in understanding the dynamics of Knowledge Building in a consistent and measurable way. The strength of the work is not in particular patterns demonstrated but in new forms of assessment and their potential to inform work as it proceeds. The research reported shows that teachers and students are finding social network analysis useful and that through their engagement research-practitioner-engineer teams are better positioned to develop tools to advance Knowledge Building pedagogy.


2001 ◽  
Vol 39 (5) ◽  
pp. 439-460 ◽  
Author(s):  
Monique Sénéchal ◽  
Jo-Anne LeFevre ◽  
Brenda L Smith-Chant ◽  
Karen V Colton

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Daniel Zúñiga ◽  
Yann Gager ◽  
Hanna Kokko ◽  
Adam Michael Fudickar ◽  
Andreas Schmidt ◽  
...  

To evolve and to be maintained, seasonal migration, despite its risks, has to yield fitness benefits compared with year-round residency. Empirical data supporting this prediction have remained elusive in the bird literature. To test fitness related benefits of migration, we studied a partial migratory population of European blackbirds (Turdus merula) over 7 years. Using a combination of capture-mark-recapture and radio telemetry, we compared survival probabilities between migrants and residents estimated by multi-event survival models, showing that migrant blackbirds had 16% higher probability to survive the winter compared to residents. A subsequent modelling exercise revealed that residents should have 61.25% higher breeding success than migrants, to outweigh the survival costs of residency. Our results support theoretical models that migration should confer survival benefits to evolve, and thus provide empirical evidence to understand the evolution and maintenance of migration.


Author(s):  
Andrea Svicher ◽  
Giulia Fioravanti ◽  
Silvia Casale

AbstractBackgroundProblematic social media use (PSMU) has received growing attention in the last fifteen years. Even though PSMU has been extensively studied, its internal structure is not fully understood. We used network analysis to evaluate which symptoms and associations between symptoms are most central to PSMU – as assessed by the Generalized Problematic Internet Use Scale-2 adapted for PSMU – among undergraduates.MethodNetwork analysis was applied to a large gender-balanced sample of undergraduates (n = 1344 participants; M = 51.9%; mean age = 22.50 ± 2.20 years).ResultsThe most central nodes in the network were the difficulty of controlling one’s own use of social media, the tendency to think obsessively about going online, the difficulties in resisting the urge to use social media and the preference for communicating with people online rather than face-to-face. This last element was strongly associated with a general preference for online social interactions and the feeling of being more comfortable online. The network was robust to stability and accuracy tests. The mean levels of symptoms and symptom centrality were not associated.ConclusionsDeficient self-regulation and preference for online communication were the most central symptoms of PSMU, suggesting that these symptoms should be prioritized in theoretical models of PSMU and could also serve as important treatment targets for PSMU interventions.


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