Literaturnachweis - Detailanzeige
Autor/inn/en | Luecht, Richard M.; Hirsch, Thomas M. |
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Titel | Item Selection Using an Average Growth Approximation of Target Information Functions. |
Quelle | In: Applied Psychological Measurement, 16 (1992) 1, S.41-51 |
Sprache | englisch |
Dokumenttyp | gedruckt; Zeitschriftenaufsatz |
ISSN | 0146-6216 |
Schlagwörter | Algorithms; Computer Assisted Testing; Equations (Mathematics); Goodness of Fit; Mathematical Models; Reliability; Scores; Selection; Statistical Distributions; Test Construction; Test Items |
Abstract | Derivations of several item selection algorithms for use in fitting test items to target information functions (IFs) are described. These algorithms, which use an average growth approximation of target IFs, were tested by generating six test forms and were found to provide reliable fit. (SLD) |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |