Analysis of sequential psychological data
5РП — Човешки потенциал в науката
- Период
- 2002-01-01 → 2005-12-31
- Финансиране от ЕС
- 107 472 €
- Участници
- 1
- Схема
- BUR
Линиите свързват координатора с партньорите.
Накратко на български
Статистически методи анализират последователността на събитията при комуникацията между лекар и пациент или при психични разстройства. Това помага за по-доброто разбиране на повтарящите се модели в поведението и клиничната практика.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Цел на проекта
University of Liverpool Department of Clinical Psychology RESEARCH FELLOW Statistical Analysis of Sequential Psychological Data Applications are invited for a full-time post as research fellow for a two-year project developing novel statistical methods of analyzing sequential psychological data. The post, supported by the Marie Curie Foundation, will involve a number of elements. The successful applicant will work with members of the department to re-analyze existing databases collected in the course of Medical Research Council and other funded research into doctor-patient communication, psychotic conditions and personality disorders in order to examine sequential and iterative patterns. They will assist the members of the department develop new skills in these areas. They will collaborate with members of the department to collect new data examining sequential relationships and will collaborate in applications for new grant-funded research. The successful applicant will be employed in the Department of Clinical Psychology, University of Liverpool. This Department, which has a history of more than thirty years, consists of a lively, friendly and productive group of people dedicated to high quality teaching, to innovation in clinical practice and to excellence in research. The research group specifically supporting this fellowship consists of 10 individuals with international reputations in the study of clinical communication, psychotic experiences and personality disorders. Applicants should have a PhD in psychology or a relevant social science discipline with appropriate experience in the use of novel statistical and computational analytic techniques. It is expected that the successful applicant will have a number of peer-review publications that include the use of novel multivariate or computational statistical analytic techniques and demonstrate an ability to use such techniques for the analysis of iterative, sequential or time-series data sets.
Оригинален текст от CORDIS (на английски).
Участници
- THE UNIVERSITY OF LIVERPOOL · LIVERPOOLКоординаторОбединеното кралство
Връзки
Данни: CORDIS, © Европейски съюз