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

In: Knowledge Spaces

Author

Listed:
  • Dietrich Albert

    (University of Graz, Department of Psychology
    Graz University of Technology, Knowledge Management Institute)

  • Gudrun Wesiak

    (University of Graz, Department of Psychology
    Graz University of Technology, Knowledge Management Institute)

  • Ali Ünlü

    (Technische Universität München, TUM School of Education)

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).

Suggested Citation

  • Dietrich Albert & Gudrun Wesiak & Ali Ünlü, 2013. "Heuristics for Generating and Validating Surmise Relations across, between and within Sets/Tests," Springer Books, in: Jean-Claude Falmagne & Dietrich Albert & Christopher Doble & David Eppstein & Xiangen Hu (ed.), Knowledge Spaces, edition 127, chapter 10, pages 193-227, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-35329-1_10
    DOI: 10.1007/978-3-642-35329-1_10
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