Preparation Techniques for Multiple-Choice Possibility Measurement Tools (MCPMT) in Education

Autor/in	Ismail, Yilmaz
Titel	Preparation Techniques for Multiple-Choice Possibility Measurement Tools (MCPMT) in Education
Quelle	In: Educational Research and Reviews, 15 (2020) 1, S.34-40 (7 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1990-3839
Schlagwörter	Multiple Choice Tests; Measurement Techniques; Student Evaluation; Test Items; Student Centered Learning; Probability + Suchen Sie Ihr Suchwort? Multiple choice examinations; Multiple-choice tests, Multiple-choice examinations; Multiple-Choice-Verfahren; Messtechnik; Schulnote; Studentische Bewertung; Test content; Testaufgabe; Group work; Student-entered learning; Student-centred learning; Student centred learning; Schülerorientierter Unterricht; Schülerzentrierter Unterricht; Gruppenarbeit; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie
Abstract	This study draws on the understanding that when the correlation between variables is not known yet the non-linear expectation in the correlation between the variables is present, non-linear measurement tools can be used. In education, possibility measurement tools can be used for non-linear measurement. Multiple-choice possibility measurement tools (MCPMT) can be prepared similarly to conventional multiple-choice measurement tools (CMCMT) utilized in quantitative measurements. In comparison with CMCMT, both more qualified measurements and more qualified evaluations can be carried out via possibility measurement tools; therefore, the preparation techniques of MCPMT, which is one possibility measurement tool, which can be used in information-centered and learner-centered measurements, are set forth in this study. MCPMT can resolve the problem of CMCMT in terms of the measurement of different variables with multiple options in one item. Additionally, the correlation between the variables can be determined by evaluating data obtained via MCPMT by means of two different new methods. (As Provided).
Anmerkungen	Academic Journals. e-mail: err@academic.journals.org; e-mail: service@academicjournals.org; Web site: http://academicjournals.org/journal/ERR
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01