2017
DOI: 10.15390/eb.2016.5082
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An Analysis of Rater Severity and Leniency in Open-ended Mathematic Questions Rated Through Standard Rubrics and Rubrics Based on the SOLO Taxonomy

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Cited by 5 publications
(4 citation statements)
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“…The students answer to the question, and the problem does not match. The student's attention is easily distracted by situations unrelated to the solution of the problem (Cetin & İlhan, 2016). Therefore, the student cannot perform the expected task properly.…”
Section: The Solo Taxonomy Rubric and Its Analysismentioning
confidence: 99%
“…The students answer to the question, and the problem does not match. The student's attention is easily distracted by situations unrelated to the solution of the problem (Cetin & İlhan, 2016). Therefore, the student cannot perform the expected task properly.…”
Section: The Solo Taxonomy Rubric and Its Analysismentioning
confidence: 99%
“…SOLO can be utilized as a general measure of different disciplines because it is content independent (Jimoyiannis, 2013). Existing research have shown that SOLO is a reliable taxonomy to evaluate the students' learning in various subjects, such as computer science (Lister et al, 2010), mathematics (Ç etin & Ilhan, 2017), and physical therapy (Zipp, Maher, Donnelly, Fritz, & Snowdon, 2016), and so forth.…”
Section: Solo Taxonomymentioning
confidence: 99%
“…Scores can be used in parametric statistics and validity testing [10][11][12]. The Rasch model and the many-facet Rasch model approach has been used in a steadily increasing number of applications in the fields of language testing [13], educational and psychological measurement [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%