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In the analysis of multivariate observations designed to assess subjects with respect to an attribute, a Guttman scale (named after Louis Guttman) is a single (unidimensional) ordinal scale for the assessment of the attribute, from which the original observations may be reproduced. The discovery of a Guttman scale in data depends on their ...
Guttman research interests were in the fields of scale and factor analysis, multidimensional scaling and facet theory. [4] His mathematical and philosophical treatments of Factor analysis are among the important parts of his scientific legacy. His earlier work in scaling analysis produced what has become to be known as the Guttman scale. [5]
The item-total correlation approach is a way of identifying a group of questions whose responses can be combined into a single measure or scale. This is a simple approach that works by ensuring that, when considered across a whole population, responses to the questions in the group tend to vary together and, in particular, that responses to no individual question are poorly related to an ...
The Bogardus social distance scale is a cumulative scale (a Guttman scale), because agreement with any item implies agreement with all preceding items. Research by Bogardus first in 1925 and then repeated in 1946, 1956, and 1966 shows that the extent of social distancing in the US is decreasing slightly and fewer distinctions are being made ...
Guttman scale – Single, ordinal psychometric scale, allowing original observations to be reproduced. Likert scale – Psychometric measurement scale Semantic differential – measurement scale designed to measure a person's subjective perception of, and affect Pages displaying wikidata descriptions as a fallback
Moreover, while Mokken scaling analysis is a confirmatory method, meant to test whether a number of items form a coherent scale (like confirmatory factor analysis), an Automatic Item Selection Procedure has been developed to explore which latent dimensions structure responses on a number of observable items (like factor analysis). [17]
Sociograms were developed by Jacob L. Moreno to analyze choices or preferences within a group. [2] [3] They can diagram the structure and patterns of group interactions.A sociogram can be drawn on the basis of many different criteria: Social relations, channels of influence, lines of communication etc.
Facet theory is a metatheory for the multivariate behavioral sciences that posits that scientific theories and measurements can be advanced by discovering relationships between conceptual classifications of research variables and empirical partitions of data-representation spaces.