published 2006-02-21
Summer School
MULTI-LEVEL ANALYSIS OF PERSONALITY DATA
Supported by
European Association for Personality Psychology (EAPP)
International Society for the Study of Individual Differences (ISSID)
European Association of Psychological Assessment (EAPA)
July 26-31, 2006
Island of Syros, Greece
Become familiar with this recent statistical method for the analysis of hierarchically organized personality data
Discuss your own data or study design with experts
Organizers
Prof. Jens B. Asendorpf
Department of Psychology
Humboldt University, Berlin
Jens.asendorpf@cms.hu-berlin.de
www.psychologie.hu-berlin.de/per
Prof. Daniel J. Ozer
Department of Psychology
University of California at Riverside
daniel.ozer@ucr.edu
www.psych.ucr.edu/faculty/ozer/
Prof. Frosso Motti-Stefanidi
Department of Psychology
University of Athens, Greece
frmotti@psych.uoa.gr
The aim of this summer school, directly following the European Conference on Personality in Athens 2006, is to make participants familiar with multi-level analysis, a statistical method of analyzing hierarchically organized data with a wide range of applications. Multi-level analyses are called for if
individuals are nested within higher-order units (e.g., social groups, school classes, families, couples, laboratory dyads); the number of individuals can vary across units.
multiple assessments are nested within individuals (e.g., longitudinal studies, diary studies, social network data); the number of assessments can vary across individuals.
Multi-level analysis simultaneously analyzes differences at both the lower and the higher-order units, and their relationships. For example, correlations between test anxiety and achievement are studied both within and across school classes, and differences in the within-class correlations are predicted by characteristics of school classes; interindividual differences in intraindividual change are predicted by personality characteristics.
During the summer school on the beautiful Cycladic island of Syros, Greece, experts introduce participants to different areas of application and supervise the analysis of participants own data or their development of a multi-level study design in small groups and/or individually. Faculty is selected such that each member has extensive experience with multi-level analysis but is not primarily a statistician. No pre-existing knowledge on multi-level analysis is required for the participants but solid knowledge of standard statistical packages for psychologists such as SPSS or SAS. Also, it is required that participants bring their own laptop with installed multi-level software (preferentially HLM; a student version is available for free from http://www.ssicentral.com/hlm/student.html ) if they wish to analyze and discuss own data.
The summer school is open to both young researchers and more experienced psychologists who wish to advance their methodological skills. Thanks to the financial support of the European Association of Personality Psychology (EAPP), the International Society for the Study of Individual Differences (ISSID), and the European Association of Psychological Assessment (EAPA) there is no registration fee. Participants, however, have to cover their travel, accommodation and meal expenses. The summer school will take place in the Hotel Hermes which is located by the seaside in the capital, Ermoupoli, of the island of Syros. Single rooms in that hotel cost 55 Euros per night, including breakfast, and double rooms cost 85 Euros per night, including breakfast. For more information concerning accommodation on the island of Syros you may google the words: Syros, Greece. Finally, a limited number of scholarships will be available for young researchers, particularly from German speaking countries and Eastern Europe.
For more information and to apply for the summer school please visit www.ecp13.gr . Deadline for applications is April 30, 2006.
