Analysis of Students’ Difficulties in Solving Statistics Problems Based on the SOLO Taxonomy Classification and Students’ Attitudes Toward Mathematics
Abstract
This study aims to analyze students' difficulties in solving statistics problems and their attitudes toward mathematics among senior high school students in Purworejo Regency. It also aims to identify the types of difficulties students experience based on the SOLO taxonomy classification and students' attitudes toward mathematics, as well as to measure the relationship between students' attitudes toward mathematics and the level of difficulties they encounter. This study employs a mixed-methods approach with a exsplanatory squential research design. The study subjects consist of 391 senior high school students in Purworejo Regency, selected from 13 schools categorized as high, medium, and low levels using a stratified proportional random sampling technique. The research instruments include six statistics test questions, an attitude questionnaire with 30 statements, and an interview guide validated by experts. Data were collected through tests, questionnaires, and interviews.The findings indicate that the highest difficulty lies in the aspect of drawing conclusions, with a percentage of 80.59%, while the lowest difficulty is in conceptual understanding, at 48.67%. Based on the SOLO taxonomy classification, the highest level of difficulty is at the extended abstract level, reaching 75.68%, while the lowest is at the unistructural level, at 37.63%. Students' attitudes toward mathematics fall into the low category, with an average score of 66.36. The average attitude score for students in high-category schools is 75.77, in medium-category schools is 72.41, and in low-category schools is 50.92. There is a negative correlation between students' difficulties in solving statistics problems based on the SOLO taxonomy classification and their attitudes toward mathematics, with a correlation value of -0.113. This indicates that the more negative students' attitudes toward mathematics are, the greater their difficulties in solving statistics problems.
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DOI: http://dx.doi.org/10.18415/ijmmu.v13i2.7314
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