Analysis of Difficulty Level and Discriminating Power Between Multiple Choices and Essay Items on Math Test

  • Zulaiha R
  • Fahmi
  • Rahdiani D
  • et al.
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Abstract

This analysis was intended to compare the level of difficulty and discriminating power on multiple choices and essay items on math test. The research was done by design treatments by subject’s method. The research object was 22 items of multiple choices items and 22 essay items. The essay items were generated from multiple choices item that modified into essay items by eliminating the options. The essay items were divided into two clusters and each of them consist of 11 items. The population in this research was public and private Junior High Schools in DKI Jakarta Province, while the sample was defined by two-staged random sampling and stratified random sampling technique. There were 452 students act as the sample, taken from 6 private and public schools. Multiple choices item was scored by following rule; score 1 for correct respond and score 0 for incorrect respond, in meantime essay items were scored by using 3 different scoring rubrics, namely; Rubric Model 1 (0, 1), Rubric Model 2 (0, 1, 2) and Rubric Model 3 (key words). The difficulty level and the different power of students’ response data that has been scored are calculated from the multiple choice and essay items, and then analysed by using descriptive statistical methods and inferential statistics and Rasch models. The results of the analysis with the Classic method obtained an average level of difficulty multiple choice questions greater than the essay items either on Model-1, Model-2, or Model-3. While the analysis using the Rash Model, the average level of difficulty multiple choice items is relatively the same as the essay items. For

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APA

Zulaiha, R., Fahmi, Rahdiani, D., Rahman, A., & Al Anfal, M. F. (2021). Analysis of Difficulty Level and Discriminating Power Between Multiple Choices and Essay Items on Math Test. In Proceedings of the International Conference on Educational Assessment and Policy (ICEAP 2020) (Vol. 545). Atlantis Press. https://doi.org/10.2991/assehr.k.210423.065

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