A singular algorithm of ALSOS’s (Alternating Least Squares with Optimal Scaling) is presented. It allows to assign the same scaling to all variables measured on the same categorical level in a categorical regression. The algorithm is applied to a model for measurement and evaluation of Customer Satisfaction (CS). The results seem to support the use of multiplicative models like Cobb-Douglas’s, to analyze how the overall satisfaction of goods or services customers is shaped.
Common Optimal scaling for Customer Satisfaction Multidimensional Models
CHIRICO, PAOLO
2007-01-01
Abstract
A singular algorithm of ALSOS’s (Alternating Least Squares with Optimal Scaling) is presented. It allows to assign the same scaling to all variables measured on the same categorical level in a categorical regression. The algorithm is applied to a model for measurement and evaluation of Customer Satisfaction (CS). The results seem to support the use of multiplicative models like Cobb-Douglas’s, to analyze how the overall satisfaction of goods or services customers is shaped.
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