Abstract

Large-scale assessments of student achievement in physics are often approached with an intention to discriminate students based on the attained level of their physics competencies. Therefore, for purposes of test design, it is important that items display an acceptable discriminatory behavior. To that end, it is recommended to avoid extraordinary difficult and very easy items. Knowing the factors that influence physics item difficulty makes it possible to model the item difficulty even before the first pilot study is conducted. Thus, by identifying predictors of physics item difficulty, we can improve the test-design process. Furthermore, we get additional qualitative feedback regarding the basic aspects of student cognitive achievement in physics that are directly responsible for the obtained, quantitative test results. In this study, we conducted a secondary analysis of data that came from two large-scale assessments of student physics achievement at the end of compulsory education in Bosnia and Herzegovina. Foremost, we explored the concept of ``physics competence'' and performed a content analysis of 123 physics items that were included within the above-mentioned assessments. Thereafter, an item database was created. Items were described by variables which reflect some basic cognitive aspects of physics competence. For each of the assessments, Rasch item difficulties were calculated in separate analyses. In order to make the item difficulties from different assessments comparable, a virtual test equating procedure had to be implemented. Finally, a regression model of physics item difficulty was created. It has been shown that 61.2% of item difficulty variance can be explained by factors which reflect the automaticity, complexity, and modality of the knowledge structure that is relevant for generating the most probable correct solution, as well as by the divergence of required thinking and interference effects between intuitive and formal physics knowledge structures. Identified predictors point out the fundamental cognitive dimensions of student physics achievement at the end of compulsory education in Bosnia and Herzegovina, whose level of development influenced the test results within the conducted assessments.

Highlights

  • Physics education quality improvement can be achieved by developing a functional iterative cycle that consists of curriculum programming, instruction, and assessment

  • In 2006, Standards and Assessment Agency (SAA) conducted an assessment of student achievement in physics at the end of compulsory education in Bosnia and Herzegovina. 1377 students participated in that study

  • We can conclude that the regression model as a whole is statistically significant—the probability of obtaining such a large F-statistics value by chance is less than 0.1%

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Summary

Introduction

Physics education quality improvement can be achieved by developing a functional iterative cycle that consists of curriculum programming, instruction, and assessment. According to Redish [1], each of these fundamental elements should take into account a model of student cognitive and affective functioning. We cannot directly observe the cognitive and affective functioning of our students. Various aspects of student functioning can be realized only after having studied student behavior in concrete situations. The credibility of the developed student model grows with the number of different situations the student has encountered. The most practical way for affronting students with concrete physical situations is to administer a physics test to them. The higher the number and versatility of used items, in regards to tapping various aspects of physics competence, the higher the probability

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