title: A comparison of dummy variable versus traditional multiple discriminant function analysis.
abstract: The authors compare the use of dummy variable and traditional multiple discriminant function analysis when dealing with research questions where ratio or nominal scale independent variables can be used. A healthcare-related example of using dv MDF is given and the authors conclude that it is superior to traditional MDF for determining variable importance and developing market segment profiles.
mesh_terms: D000704:Analysis of Variance; D016002:Discriminant Analysis; D008389:Marketing of Health Services / Q000379:methods*; D015233:Models, Statistical; D012107:Research Design; D014481:United States