The selection committee received a significant number of proposed books and edited volumes whose authors, co-authors, and editors came from many different countries. Each submission was evaluated by both committee members and outside expert referees. It was agreed that among all those submitted, Benet-Martinez and Hong's book makes the most significant and fundamental contribution to psychology as a global discipline.
Book description: http://ukcatalogue.oup.com/product/9780199796694.do
*The American Psychological Association includes also 7,000 members and affiliates from over 90 countries
In this edition, UPF will host a conference by Arie Kruglanski (University of Maryland), on "The Psychology of Radicalization and Deradicalization".
This seminar that will take place on February 12th, at 15.00h, room 40.004 of the building Roger de Llúria, at UPF Campus Ciutadella (Carrer Ramon Trias Fragas, 25-27, Barcelona): Map
The Research and Expertise Centre for Survey Methodology (RECSM) at Universitat Pompeu Fabra, Barcelona is pleased to support a candidate's application for Beatriu de Pinós Programme of The Agency for Management of University and Research Grants (AGAUR). The fellowship will support PhD in social sciences with a strong methodological background interested in doing research in Survey Methodology and/or Public Opinion. [more info]
La Obra Social "la Caixa", ofrece 25 becas a ciudadanos españoles para realizar un doctorado en España.
El Research and Expertise Centre for Survey Methodology (RECSM) de la Universitat Pompeu Fabra (Barcelona) está dispuesto a apoyar una o más solicitudes de candidatos con perfiles excelentes que quieran realizar un doctorado en las áreas de actividad del centro.
El plazo para el envío de candidaturas es hasta el 12 de febrero de 2015
[ Más información]
This new module written by Anna de Castellarnau and Willem Saris, researchers at RECSM-UPF, illustrates that correction for measurement errors is not only necessary but also possible. Probably, the reason why most researchers do not correct for these errors in their analyses yet is because it is widely thought that the procedure for getting the quality estimates of all variables in the study is a rather costly and complex as it involves presenting similar questions to the respondents at least two times. However, this module provides a very simple procedure to correct for measurement errors using of the quality estimates obtained from the program Survey Quality Predictor (SQP). With this information the correlation and covariance matrices can simply be corrected and used as input for the analyses. This procedure is illustrated for regression analysis, causal models and models with complex concepts using LISREL, Stata and R.
The publication is available online at the European Social Survey Education Net (ESS EduNet) [ Link]