CEMSwide: CEMS Data

In ordBTL: Modelling comparison data with ordinal response

Description

The Community of European management schools (CEMS) data used in the paper by Dittrich et al. (1998, 2001), where the responses (the first 15 variables) are coded as 1 if the first university was preferred, 2 if no decision was made and 3 if the second university was preferred.

Usage

data(CEMSwide)

Format

A data frame with 303 observations on the following 23 variables:

• V1 London vs. Paris

• V2 London vs. Milano

• V3 London vs. Paris

• V3 Paris vs. Milano

• V4 London vs. St.Gallen

• V5 Paris vs. St.Gallen

• V6 Milano vs. St.Gallen

• V7 London vs. Barcelona

• V8 Paris vs. Barcelona

• V9 Milano vs. Barcelona

• V10 St.Gallen vs. Barcelona

• V11 London vs. Stockholm

• V12 Paris vs. Stockholm

• V13 Milano vs. Stockholm

• V14 St.Gallen vs. Stockholm

• V15 Barcelona vs. Stockholm

• STUD Main discipline of study : 1= commerce, 0= other (economics, business administration, business education)

• ENG Knowledge of English : 0= good, 1= poor

• FRA Knowledge of French : 0= good, 1= poor

• SPA Knowledge of Spanish : 0= good, 1= poor

• ITA Knowledge of Italian : 0= good, 1= poor

• WOR Full-time employment while studying: 0= no, 1= yes

• DEG Intention to take an international degree: 0= no, 1= yes

• SEX Gender : 0= female, 1= male

Source

The Royal Statistical Society Datasets Website (http://www.blackwellpublishing.com/rss/Readmefiles/dittrich.htm)

References

Dittrich R, Hatzinger R and Katzenbeisser W (1998). "Modelling the effect of subject-specific covariates in paired comparison studies with an application to university rankings." Applied Statistics, *47*(2), pp. 511-525.

Dittrich R, Hatzinger R and Katzenbeisser W (2001). "Corrigendum: Modelling the effect of subject-specific covariates in paired comparison studies with an application to university rankings." Journal of the Royal Statistical Society: Series C (Applied Statistics), *50*(2), pp. 247-249.

ordBTL documentation built on May 2, 2019, 7:59 a.m.