A Technique for Improving Cumulative Scales.
This paper introduces a simple new procedure for obtaining a cumulative-type scale which should have properties of high reproducibility, high test-retest reliability and high stability from sample to sample in rank order of cutting points. Moreover, none of these properties need be obtained at the c...
| Publicado en: | Public Opinion Quarterly Vol. 16; no. 2; pp. 273 - 292 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Summer52
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | This paper introduces a simple new procedure for obtaining a cumulative-type scale which should have properties of high reproducibility, high test-retest reliability and high stability from sample to sample in rank order of cutting points. Moreover, none of these properties need be obtained at the cost of restricting the scale to content of too narrowly limited specificity or to questions with too uniform a format. This new procedure is called the H-technique. The method simply consists of determining a given cutting point in a Guttman or Lazarsfeld latent distance scale not by means of a single response but rather by means of several responses, which are formed into a new contrived item. The objective is to maximize the information available from the basic data and hence to strengthen confidence in the scalability of the area under consideration and the generality of the dimension which the scale is defining and to improve the ranking of individuals through reduction of scale error. |
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