eapp

Not logged in. Log in

You are here: MeetingsSummer schoolsRobust statistics for personality data

Robust statistics for personality data

10th EAPP summer school • 2011, July 16-21, Bertinoro, Italy

Team

Organizers: Jens B. Asendorpf (jens.asendorpf@rz.hu.-berlin.de) and Marco Perugini (marco.perugini@unimib.it)

Theme

Organizers of this summer school will be Jens B. Asendorpf (jens.asendorpf@rz.hu.-berlin.de) and Marco Perugini (marco.perugini@unimib.it).

Summer School
Robust statistics for personality and individual differences
July 16-21, 2011
Bertinoro, Italy

Organizers: Jens B. Asendorpf & Marco Perugini

Supported by European Association of Personality
Psychology (EAPP)
International Society for the Study of Individual Differences
(ISSID)

Traditional parametric statistical procedures such as the Pearson
correlation, regression, and tests of group differences by t tests and
analysis of variance depend much more on unrealistic assumptions
than most psychologists believe. Biased results due to extreme cases
such as outliers or mixed distributions of a small extreme group and a
much larger normal group are common in psychology, and may be one
of the major reasons for the embarrassingly low replicability of findings
in psychological research. In recent years, numerous alternatives to
parametric statistics have been developed, called robust statistics (see
overview by Erceg-Hurn et al., American Psychologist, 2008), and
have been implemented in freely available statistical packages such
as R. In addition, there is a recent increase in applying bootstrapping
for robust estimations of confidence intervals (e.g., replacement of the
Sobel test in mediation analyses by bootstrapping procedures; new
bootstrapping option for most major statistical tests from SPSS 18.0 on),
and in controlling significance levels in correlational matrices through
randomization.
The aim of the summer school on robust statistics is to make participants
familiar with major robust statistical methods and their implementation in
R. Participants will be encouraged to bring own data for analyses under
supervision of faculty members.

Teaching faculty includes:
Rand R. Wilcox, U Southern California
Jens B. Asendorpf, Humboldt University Berlin, Germany
Felix Schönbrodt, U Munich, Germany
Ryne A. Sherman, U California at Riverside

Deadline for applications: March 1st, 2011
Application details will be announced in January 2011