A fully Bayesian approach is proposed to the analysis of accuracy and mutuality in interpersonal perceptions. The Bayesian analysis is based on social relations model (SRM) formulation. Inference is straightforward using Markov chain Monte Carlo (MCMC) methods as implemented in the software package WinBUGS. An Example is provided to highlight the use of Bayesian analysis of interpersonal attrac...

Any modern organization hoping to retain a competitive advantage must be capable of integrating knowledge. Recent studies have explored various factors that may affect knowledge integration in information systems development (ISD) projects. Although diversity within an ISD team has been found to significantly reduce knowledge resource risks, it has also been found to lead to conflict which may ...

Why do certain group members end up especially liking each other more than others? The prediction of interpersonal attraction has been a longstanding pursuit in the social sciences. We combine functional MRI and longitudinal social network data to test whether newly acquainted group members’ reward-related neural responses to one another predict their future attractions after completing a summe...