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SERIES C  
Applied Statistics

Probabilistic feature analysis of facial perception of emotions, M. Meulders, P. De Boeck, I. Van Mechelen and A. Gelman
Journal of the Royal Statistical Society, Series C, Applied Statistics, Volume 54 (2005) part 5, 781 - 793

DESCRIPTION OF DATA SET:

The data that are analyzed in the paper were originally gathered by de Bonis et al.(1999).
[full reference: de Bonis, M., De Boeck, P., Pérez-Diaz, F. and Nahas, M. (1999)A two-process theory of facial perception of emotions. C. R. Acad. Sci. III, 322, 669-675.]

The data consist of the number of raters (out of a total of 18) who perceive a certain emotion in a particular type of facial expression which is displayed by a particular stimulus person.

There are four types of facial expressions:
HH Happy Upper halve and Happy Lower halve
FF Fearful Upper halve and Fearful Lower halve
HF Happy Upper halve and Fearful Lower halve
FH Fearful Upper halve and Happy Lower halve

The facial expressions for stimulus person s are denoted as HHs, FFs, HFs and FHs.

The data consist of a frequency table with 20 rows and 19 columns, with each row corresponding
to a certain facial expression of a particular stimulus person and with each column corresponding
to a particular emotion. The file "data.txt" subsequently lists the table of observed frequencies,
the labels for the rows and the labels for the columns.

Further information can be obtained from

Michel Meulders
Department of Psychology
Kaholieke Universiteit Leuven
Tiensestraat 102
3000 Leuven
Belgium

E-mail: michel.meulders@psy.kuleuven.ac.be

• Datasets (meulders.zip, size - 2KB)

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