An integrated package of statistics is described
for measuring the relationship between binary
dominance data, such as choices, and predictor
variables that measure the objects or stimuli. The
degree of fit between predictors and choices is defined,
and procedures for determining the maximum
possible fit and minimum acceptable fit are
described. The statistics are applied, for illustrative
purposes, to a practical data set.
Cermak, Gregory W, Lieberman, Gerald J & Benson, Harold P. (1982). An integrated approach to the analysis of binary choice data. Applied Psychological Measurement, 6, 31-40. doi:10.1177/014662168200600103
Cermak, Gregory W.; Lieberman, Gerald J.; Benson, Harold P..
An integrated approach to the analysis of binary choice data.
Retrieved from the University of Minnesota Digital Conservancy,
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.