Gathered data is frequently not in a numerical form allowing immediate appliance of the quantitative mathematical-statistical\r\nmethods. In this paper are some basic aspects examining how quantitative-based statistical methodology can be utilized in the\r\nanalysis of qualitative data sets. The transformation of qualitative data into numeric values is considered as the entrance point\r\nto quantitative analysis. Concurrently related publications and impacts of scale transformations are discussed. Subsequently, it is\r\nshown how correlation coefficients are usable in conjunction with data aggregation constrains to construct relationship modelling\r\nmatrices. For illustration, a case study is referenced at which ordinal type ordered qualitative survey answers are allocated to process\r\ndefining procedures as aggregation levels. Finally options about measuring the adherence of the gathered empirical data to such\r\nkind of derived aggregation models are introduced and a statistically based reliability check approach to evaluate the reliability of\r\nthe chosen model specification is outlined.
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