Research article | Open Access
International Journal of Progressive Education 2023, Vol. 19(5) 1-13
Comparison of Often Used Analysis Methods for Rank-Ordered Data
pp. 1 - 13 | DOI: https://doi.org/10.29329/ijpe.2023.603.1
Publish Date: October 16, 2023 | Single/Total View: 92/308 | Single/Total Download: 148/422
Abstract
This study aims to compare the findings obtained from Rank-Ordered Judgments Scaling (ROJS), Placket-Luce Model (PLM), and Many Facet Rasch Model (MFRM) methods based on ranking judgments, which are often used in the analysis of rank-ordered data. For this purpose, one hundred senior students studying at the Faculty of Education and Faculty of Theology of Sakarya University were asked to rank pedagogical formation courses from the course they thought would be the most useful in their professional lives to the course they thought would be the least useful. The obtained data were analyzed using ROJS, PLM, and MFRM methods. When the obtained data were analyzed according to the ROJS, PLM, and MFRM, it was found that the course considered the least useful and the least preferred was the Instructional Technologies course. According to the raters, it was found that the most preferred and the most useful courses were Teaching Practice (I and II) in MFRM and ROJS, while in PLM, it was found to be the Classroom Management course. All other courses except the first-ranked course were sorted similarly in all models; the scale values in ROJS, logit values in MFRM, and worth in PLM were similar.
Keywords: Rank Ordered Data, Many Facet Rasch Model, Placket Luce Model, Judgment Scaling
APA 7th edition
Demir, S. (2023). Comparison of Often Used Analysis Methods for Rank-Ordered Data. International Journal of Progressive Education, 19(5), 1-13. https://doi.org/10.29329/ijpe.2023.603.1
Harvard
Demir, S. (2023). Comparison of Often Used Analysis Methods for Rank-Ordered Data. International Journal of Progressive Education, 19(5), pp. 1-13.
Chicago 16th edition
Demir, Suleyman (2023). "Comparison of Often Used Analysis Methods for Rank-Ordered Data". International Journal of Progressive Education 19 (5):1-13. https://doi.org/10.29329/ijpe.2023.603.1
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