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EN
The paper presents a new method of evaluating the quality of ladders obtained with the abbreviated hard laddering procedure (Kąciak and Cullen 2006). It is based on an analysis of summary ladder matrix (SLM) and top of mind awareness indices (TMA), which allows one to consider not only the sequence in which consecutive ladders are produced by the respondent but also the salience of these ladders. The quality of ladders is further examined through non-symmetrical correspondence analysis of the SLM. This makes it possible to obtain additional information on the dominant dimensions in the means-end structure and also to determine which prominent ladders contribute most to the system’s inertia.
EN
The objective of this paper was to present results of research on two methodological issues related to the clustering of laddering data. The first was the methods of aggregation of information from ladders generated by one respondent and the second was the measurement of ladders’ dissimilarity. Two methods of aggregation of information from ladders were proposed, three sequence dissimilarity measures were presented and all combinations of them were used in the analysis. The clustered data originate from a research on Polish adolescents’ online consumer behaviour wherein the means-end approach was used. 1004 high school students participated in the research. Data were clustered from 2 to 10 groups, six modes of analysis were used, thus 54 solutions were built. Solutions with the same number of groups were compared with the adjusted Rand index. Analysis indicates the influence of sequences dissimilarity measures and methods of aggregation of information from ladders on clustering results.
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