Analysis of Laboratory Videos of Science Teacher Candidates with Many-Facet Rasch Measurement Model

Ahmet Volkan Yüzüak, Sinan Erten, Yılmaz Kara
2019 Journal of Education in Science Environment and Health  
Aim of the present study is to analyze science teacher candidates' laboratory videos by using Many-facet Rasch model. Survey method was used in the study. The study was conducted in 2017-2018 academic year spring semester. Rasch model's surfaces are respectively: 9 juries, 13 science activities and 19 criteria. FACETS program was used for data analysis. Findings reveal that laboratory video, which was coded as SA8, was found to be the most successful and SA1 coded video was found the most
more » ... ound the most unsuccessful with respect to criteria. The simplest articles which science teacher candidates were subjected are -introducing yourself‖, -using proper costume‖, -appropriate time‖ and the articles for which the science teacher candidates are constrained mostly -soundsupporting effect‖, -writing effect‖, -warning for security precautions‖. Jury numbered 3 or coded as J3 is -the most lenient‖ and scorer numbered 2 is -the severest‖ when juries are sequenced from the most lenient. Moreover, it could be said that, some of the jury members were extremely severe or lenient against some science activities according to bias analysis. Keywords Science activities Laboratory videos Rasch model Rasch model which is one parameter logistic model depends on Item Response Theory and explained in -Some Probabilistic Models for Intelligence and Attainment Tests‖ book by George Rasch (Rasch, 1960). Rasch model and Many-facet Rasch model approach has been used in a steadily increasing number of applications in the fields of language testing (
doi:10.21891/jeseh.568816 fatcat:whobxq6eezb4xlifikvef67seu