Heuristics for Generating and Validating Surmise Relations across, between and within Sets/Tests

Dietrich Albert, Gudrun Wesiak and Ali Ünlü
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Dietrich Albert: University of Graz, Department of Psychology
Gudrun Wesiak: University of Graz, Department of Psychology
Ali Ünlü: Technische Universität München, TUM School of Education

Chapter 10 in Knowledge Spaces, 2013, pp 193-227 from Springer

Abstract: Abstract Generating and validating surmise relations across, between and within sets has been strongly stimulated for practical reasons. For instance, the number of psychological tests (sets of items) used simultaneously in diagnostic settings continues to grow. Therefore it is useful to develop new methods that economize assessment procedures and that allow for restructuring of tests. For this purpose, we replace the term ’sets’ and apply in this chapter the Surmise Relations across, between and within Tests (SRbT) approach. Applying the SRbT approach is however not restricted to tests (sets of items); it can be used e.g. in Educational Science for developing and restructuring curricula in order to obtain among other things a meaningful sequence of courses (Hockemeyer, Albert, & Brandt, 1998). Another example in Computer Science is (re-)structuring hypertext documents respecting prerequisites (Albert and Hockemeyer, 1997).

Keywords: Tolerance Level; Knowledge State; Inductive Reasoning Test; Matrix Test; Validating Relation (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-3-642-35329-1_10

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