TripleR: Paper and new version for our SRA package (14.09.2011)

A paper about TruipleR has been published in Behavior Research Methods; new version is out with many new features!

TripleR is a package for the computation of Social Relations Analyses of round robin data. It extends the features of other software solutions and is much more user friendly.

Now we are pleased to announce both a new version of TripleR with many new features (see below), as well as a paper [1] about TripleR that has just been published in Behavior Research Methods. This paper describes all possible analyses in TripleR and provides a step-by-step tutorial including source code, which should facilitate a successful start.

Some of the new features of version 1.1.3 are:

  • Automatic calculation of the self-enhancement index (Kwan, John, Kenny, Bond & Robins, 2004, Eq. 3); it is returned together with the actor and partner effects and the self ratings for each person.
  • If self ratings are present, partial correlations of self-ratings with actor and partner effects (i.e., assumed similarity and self-other-agreement) are printed in the standard output (controlled for group membership if multiple groups are present).
  • We included a function for the calculation of partial correlations (i.e., controlled for group membership) with external non-SRM variables.
  • Missing values are allowed; TripleR can even handle rather buggy data sets (with incomplete groups, missing members, etc.) rather robustly.

Next time you want to analyze your round robin data, try to use TripleR - and please provide us with feedback. Likewise, if you have any feature requests, good ideas for extensions, or persisting problems with the package, don't hesitate to contact us!

Cheers, Felix Schönbrodt, Mitja Back, and Stefan Schmukle

[1] Schönbrodt, F. D., Back, M. D., & Schmukle, S. C. (in press). TripleR: An R package for social relations analyses based on round-robin designs. Behavior Research Methods. doi:10.3758/s13428-011-0150-4