Literaturnachweis - Detailanzeige
| Autor/in | Royal, Kenneth D. |
|---|---|
| Titel | Making Meaningful Measurement in Survey Research: The Use of Person and Item Maps |
| Quelle | (2009), (12 Seiten)
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Higher Education; Institutional Research; Measurement Techniques; Item Response Theory; Evaluation Methods; Evaluation Research; Item Analysis; Robustness (Statistics); Statistical Studies; Statistical Surveys; Concept Mapping; Computer Assisted Testing; Educational Research |
| Abstract | Quality measurement is essential in every form of research, including institutional research and assessment. Unfortunately, most survey research today (both published and unpublished) is lacking with regards to quality measurement. Reporting means and standard deviations based on ordinal measures is an inappropriate, yet widespread practice in the arena of higher education research. This paper addresses many of the erroneous assumptions institutional researchers typically make with regard to survey research and provides an alternative method to producing more valid and reliable measures. Utilizing IRT measurement techniques, particularly the Rasch model, to analyze data can correct many of the erroneous assumptions made by CTT models. The one parameter logistic (1PL) Rasch measurement model is briefly discussed and one of its applications, the use of person and item maps, is demonstrated, thus highlighting the utility of the Rasch model in higher education research and practice. It should be noted that although multiple tools are available within measurement software to provide meaningful interpretations of results, this demonstration focuses solely on the use of person and item maps. (Contains 1 figure.) (As Provided). |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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