Scale Conversions - Theory and Application

• Autorzy: Józef Pociecha , Kazimierz Zając
• Języki publikacji: EN

Abstrakty

EN

Most analysis techniques assume a homogeneity of scale types, hereas real data sets often feature mixed scales. One approach to handling such problems is to choose a particular scale type and then suitably transform variables to achieve homogeneity. Scales usually are ordered in the following sequence: nominal, ordinal, interval and ratio, with the progression reflecting increasing information demands for scale definition. Hence promoting a variable implies the utilization of additional information or acceptance of a new assumption. Likewise, demotion of variable involves relinquishing some information. In all techniques for scale transformation, one must use critical judgement as to whether the technique is appropriate to the particular problem. Ratio scales are excluded from the following discussion of scale conversions. When ratio variables are encountered, they are treated as interval variables. (fragment of text)

Słowa kluczowe

EN

Statistics; Statistics methodology

PL

Statystyka; Metodologia statystyki

• Czasopismo: Zeszyty Naukowe / Akademia Ekonomiczna w Krakowie
• Rocznik: 1990
• Numer: nr 300 Selected Papers
• Strony: 167--176

Twórcy

autor

Józef Pociecha

• Akademia Ekonomiczna w Krakowie

autor

Kazimierz Zając

• Akademia Ekonomiczna w Krakowie

Bibliografia

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• 7. Harter H.L.: 1961, Expected Values of Normal Order Statistics, Biometrika, vol. 48, P-t. 1/2.
• 8. Pociecha J.: 1986, Statystyczne metody segmentacji rynku (Statistical Methods for Market Segmentation), Zeszyty Naukowe Akademii Ekonomicznej w Krakowie, Seria specjalna: monografie, nr 71, Kraków.
• 9. Ward J.H.: 1963, Hierarchical Grouping to Optimise an Objective Function, JASA, vol. 58, No 301.