tailieunhanh - Data Analysis Machine Learning and Applications Episode 2 Part 10

Tham khảo tài liệu 'data analysis machine learning and applications episode 2 part 10', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Conjoint Analysis for Complex Services Using Clusterwise HB Procedures 437 Table 3. Validity values for the total sample and for the clusters for HB estimation in total sample HB estimation at the individual total sample level in segment separate HB estimation at the individual cluster 1 resp. 2 level Total sample n 161 Cluster 1 n 79 Cluster 2 n 82 In Total Sample ỉn Segment In Total Sample ỉn Segment First-choice-hit-rate using draws n 10 000 Mean Spearman using draws n 10 000 First-choice-hit-rate using mean draws Mean Spearman using mean draws . one respondent had missing holdout data and could not be considered considered. Furthermore we were interested whether clusterwise estimation can optimize the results of HB estimation. A clear answer is not possible up to now. In our empirical investigation in some cases we had improvements with respect to the validity values cluster 2 and in some cases not cluster 1 . This means that our proposition in the paper can help to reduce the problems that occur when service preference measurement via conjoint analysis is the research focus. HB estimation seems to improve validity even in case of complex services with immaterial attributes and levels that cause perceptual uncertainty and preference heterogeneity. However going further with the more complicated way of performing clusterwise HB estimation doesn t provide automatically better results. Nevertheless further comparisons with larger sample sizes and other research objects are necessary. Furthermore the possibilities of other validity criteria for clearer statements could be used. References ALLENBY . and GINTER . 1995 Using Extremes to Design Products and Segment Markets. Journal of Marketing Research 32 November 392-403. ALLENBY . ARORA N. and GINTER 1995 Incorporating Prior Knowledge into the Analysis of Conjoint Studies. Journal of .

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