Robustness and sensitivity of conjoint analysis versus multiple linear regression analysis
by Fahri Karakaya; Abhrawashyu Awasthi
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 6, No. 2, 2014

Abstract: This study compares the robustness of conjoint analysis versus multiple linear regression when using orthogonal data. The explained variance (R²) by four independent variables was utilised to test the robustness of the regression analysis while Pearson's R and Kendall's tau were used for testing conjoint method. The results indicate that the two methods produce somewhat different results and conjoint analysis is more robust compared to regression.

Online publication date: Sat, 05-Jul-2014

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