Desequens: an R package for the variance decomposition of sequential processes.
Recently, Kuppens, Van Mechelen, and Rijmen (2008) developed a method that allows researchers to examine and disentangle the contributions of the different possible sources of variability in sequential processes that underlie psychological outcomes or behaviors. Although this method may prove valuable for many research domains in the social sciences, its use may be limited by its statistical complexity and the effort and programming skills required. We present an R package, called Desequens, intended to make this method easily accessible to social science researchers. The tool does not require any knowledge of R, so that R laymen can easily apply the method to their data as well. We demonstrate the use of Desequens by means of a didactic example.
Katholieke Universiteit Leuven, Leuven, Belgium. sofie.frederickx@psy.kuleuven.be
Sofie
S
Frederickx
Peter
P
Kuppens
Francis
F
Tuerlinckx
Iven
I
Van Mechelen
D000465:Algorithms; D035841:Behavioral Research / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D011381:Programming Languages; D012984:Software