The communities in the Federal Republic of Germany are confronted with continually changing environmental conditions, which necessitate a constant checking of their attitudes and a systematic, purposive and long-range-efficient adjustment work. The problem is how, by using scientific planning methods, to make such adjustment processes more effective, how to rationalise, systematise, and organize them. Within modern planning technology the community has to be viewed as a system which is an over-dimensional network of cooperating elements and processes operating in a highly complex and stochastic way. It is embedded in systems of a higher order in which not only things (lots, buildings, machines, streets, etc.) but also people play a decisive role. In order to supply a rational planning calculus for such a system it has to analysed first, not only with regard to its IS-condition but also with regard to its future developments.
The communities in the Federal Republic of Germany are confronted with continually changing environmental conditions, which necessitate a constant checking of their attitudes and a systematic, purposive and long-range-efficient adjustment work. The problem is how, by using scientific planning methods, to make such adjustment processes more effective, how to rationalise, systematise, and organize them. Within modern planning technology the community has to be viewed as a system which is an over-dimensional network of cooperating elements and processes operating in a highly complex and stochastic way. It is embedded in systems of a higher order in which not only things (lots, buildings, machines, streets, etc.) but also people play a decisive role. In order to supply a rational planning calculus for such a system it has to analysed first, not only with regard to its IS-condition but also with regard to its future developments.
Configuration analysis is a procedure based on the Chi2-method. As far as we know, the German G. A. LIENERT orally reported on it two years ago for the first time. Since there are rather few presuppositions for its application, as experience has shown so far, it is especially well suited for marketing research considering the following types of problems: 1. Differentiating the connection of various alternative features; 2. Optimalizing a pure classification of test persons with regard to special features. As to the first problem, configuration analysis allows for an examination of non-linear interactions of higher orders which are known to be considered as non-existent in factor analysis, so that factors can come up which would not occur in a non-linear approach. In this regard, configuration analysis can be taken for an extension of factor analysis towards curvy-linearity.
Configuration analysis is a procedure based on the Chi2-method. As far as we know, the German G. A. LIENERT orally reported on it two years ago for the first time. Since there are rather few presuppositions for its application, as experience has shown so far, it is especially well suited for marketing research considering the following types of problems: 1. Differentiating the connection of various alternative features; 2. Optimalizing a pure classification of test persons with regard to special features. As to the first problem, configuration analysis allows for an examination of non-linear interactions of higher orders which are known to be considered as non-existent in factor analysis, so that factors can come up which would not occur in a non-linear approach. In this regard, configuration analysis can be taken for an extension of factor analysis towards curvy-linearity.
Combining a battery of semantic differentials you will obtain an instrument called "Polaritatsprofil" in Germany. This has been used for years as a standard instrument for solving image problems in market research as well as in university research. Applied to various objects the respective means can be correlated and then factor-analysed mainly by means of the Q-technique or the R-technique. The images of firms and products can be related by means of correlations with a great deal of other objects which are studied in wide-spread research at the German universities and in institutes for market-research. After factor-analyzing these results P. Hofstatter e.g. constructed a semantic space defined by the ordinate F and the abscissa F2. The axis can be interpreted as independent factors, i.e. "efficiency" and "emotion".
Combining a battery of semantic differentials you will obtain an instrument called "Polaritatsprofil" in Germany. This has been used for years as a standard instrument for solving image problems in market-research as well as in university-research. Applied to various objects the respective means can be correlated and then factor-analysed mainly by means of the Qâ-technique or the Râ-technique. The images of firms and products can be related by means of correlations with a great deal of other objects which are studied in a wide-spread research at the German universities and in institutes for market-research. After factor-analysing these results P. Hofstatter e.g. constructed a semantic space defined by the ordinate F and the abscissa F2 . The axis can be interpreted as independent factors, i.e. "efficiency" and "emotion".