Abstract
The paper aims at presenting some statistical exploratory methods useful in the joint analysis of data collected in a survey, by means of closed and open-ended questions. After a quick review of the main steps necessary for transforming texts in a numerical table, we focus our attention on Lexical Correspondence Analysis. This method is a popular technique for analysing a lexical table obtained by cross-classifying respondents and free responses. As our interest is often in measuring and visualising the association between socio-demographic characteristics and lexical behaviour, the modalities of one or more closed-ended questions are used both for aggregating individuals similar with respect to the considered variables and reducing the sparseness of the lexical table. Dealing with textual data, the effectiveness of a non symmetrical variant of correspondence analysis is introduced. Furthermore, the advantages of asking a free description of the desired product in a conjoint analysis questionnaire is shown, by applying a factorial conjoint analysis with the lexical table as external information.
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References
Balbi, S. (1995). Non symmetrical correspondence analysis of textual data and confidence regions for graphical forms. In S. Bolasco et al. (Eds.) Actes des 3es Journées internationales d’Analyse statistique des Donnèes Textuelles, (Vol. 2, pp. 5–12). Roma: CISU.
Balbi, S., Infante, G., & Misuraca, M. (2008). Conjoint analysis with textual external information. In S. Heiden et al. (Eds.) JADT 2008, (Vol. 1, pp. 129–136).
Becue-Bertaut, M., Fernandez-Aguirre, K., & Modrono-Herrán, J. I. (2010). Analysis of a mixture of closed and open-ended questions in the case of multilingual survey. Advances in Data Analysis, Statistics for Industry and Technology, Part 1, 21–31.
Benzecri, J. P. (1973). L’Analyse des Correspondances. Paris: Dunod.
Bolasco, S. (2005). Statistica testuale e text mining: alcuni paradigmi applicativi. Quaderni di Statistica, 7, 17–53.
Giordano, G., & Scepi, G. (1999). Different informative structures for quality design. Journal of Italian Statistical Society, 8(2–3), 139–149.
Green, P. E., & Srinivasan, V. (1990). Conjoint analysis in marketing: new developments with implications for research and practice. The Journal of Marketing, 54(4), 3–19.
Lauro, C. N., Giordano, G., & Verde, R. (1998). A multidimensional approach to conjoint analysis. Applied Stochastic Models and Data Analysis, 14, 265–274.
Lebart, L., Morineau, A., & Warwick, K. (1984). Multivariate descriptive statistical analysis. New York: Wiley.
Lebart, L., Salem, A., & Berry, E. (1991). Recent developments in the statistical processing of textual data. Applied Stochastic Models and Data Analysis, 7, 47–62.
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Balbi, S., Triunfo, N. (2013). Statistical Tools in the Joint Analysis of Closed and Open-Ended Questions. In: Davino, C., Fabbris, L. (eds) Survey Data Collection and Integration. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21308-3_4
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DOI: https://doi.org/10.1007/978-3-642-21308-3_4
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