Warianty tytułu
Języki publikacji
Abstrakty
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
Rocznik
Numer
Strony
167--176
Opis fizyczny
Twórcy
autor
- Akademia Ekonomiczna w Krakowie
autor
- Akademia Ekonomiczna w Krakowie
Bibliografia
- 1. Anderberg M.R.: 1973, Cluster Analysis for Applications, Academic Press, New York, San Francisco, London.
- 2. Anderson T.W.: 1958, An Introduction to Multivariate Statistical Analysis, Wiley, New York.
- 3. Cochran W.G., Hopkins C.E.: 1961, Some Classification Problems with Multivariate Qualitative Data, Biometrics, vol. 21, No 2.
- 4. David F.N., Barton D.E., Ganeshalingham S., Harter H.L., Kim P.J., Merrington M., Walley D.: 1968, Normal Centroids, Medians and Scores for Ordinal Data, Cambridge Univ. Press, London, New York.
- 5. Dillon W.R., Goldstein M., Schiffman L.G.: 1978, Appropriateness of Linear Discriminant and Multinominal Classification Analysis in Marketing Research, Journal of Marketing Research, vol. XV.
- 6. Gibbons J.D.: 1971, Nonparametric Statistical Inference, McGraw-Hill, New York.
- 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.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171681660