Utilizing Multifaceted Rasch Measurement Through FACETS to Evaluate Science Education Data Sets Composed of Judges, Respondents, and Rating Scale Items: An Exemplar Utilizing the Elementary Science Teaching Analysis Matrix Instrument.

Autor/inn/en	Boone, William J.; Townsend, J. Scott; Staver, John R.
Titel	Utilizing Multifaceted Rasch Measurement Through FACETS to Evaluate Science Education Data Sets Composed of Judges, Respondents, and Rating Scale Items: An Exemplar Utilizing the Elementary Science Teaching Analysis Matrix Instrument.
Quelle	In: Science education, 100 (2016) 2, S. 221-238Infoseite zur Zeitschrift PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Zeitschriftenaufsatz
ISSN	0036-8326; 1098-237X
DOI	10.1002/sce.21210
Schlagwörter	Grundbildung; Rasch Analysis; Naturwissenschaften
Abstract	When collecting data, science education researchers frequently have multiple respondents evaluate multiple artifacts using multiple criteria. Herein, the authors introduce Multifaceted Rasch Measurement (MFRM) analysis and explain why MFRM must be used when "judges'" data are collected. The authors use data from elementary science methods students enrolled in a senior-level, semester-length course. Acting as judges, students used the 23-item Elementary Science Teaching Analysis Matrix (ESTAM) instrument to evaluate five separate science lessons taught by five different teachers. Our MFRM analysis documents that multiple judges need not act as identical robots. Rather, differences in judges' severity can be computed and corrections made in an analysis to take into consideration differing judge severity. This paper extends the current literature in Science Education regarding the application of Rasch measurement.
Erfasst von	Arbeitsgruppe Didaktik der Physik, Universität Kassel
Update	2019/3