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- W2793877882 abstract "In this chapter, we present individual differences exploration in two alternative holistic descriptive methods: projective mapping (napping) and sorting. Objectives are to explore group performance, validate the consensus solution, and to improve the understanding of the test methods themselves. Mapping and sorting data, as well as descriptive text data (ultra-flash profiling) are discussed. The main multivariate methods for projective mapping described here are multiple factor analysis, generalized Procrustes analysis, and INDSCAL. How to obtain consensus configurations and how to analyze individual differences, as well as segmentation and estimating relations to consumer factors are covered. For sorting data, multidimensional scaling and DISTATIS are discussed." @default.
- W2793877882 created "2018-03-29" @default.
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- W2793877882 date "2018-01-01" @default.
- W2793877882 modified "2023-09-24" @default.
- W2793877882 title "Individual Differences in Projective Mapping and Sorting Data" @default.
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- W2793877882 doi "https://doi.org/10.1016/b978-0-08-101000-6.00004-4" @default.
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