A comparison of dummy variable versus traditional multiple discriminant function analysis.
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.
D000704:Analysis of Variance; D016002:Discriminant Analysis; D008389:Marketing of Health Services / Q000379:methods*; D015233:Models, Statistical; D012107:Research Design; D014481:United States