Exploratory Factor Analysis of the Items for Measuring Statistical Perceived Ability Instruments
Nurhasniza Idham Abu Hasan,
Nurul Husna Jamian and
Nur Faezah Jamal
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Nurhasniza Idham Abu Hasan: School of Mathematical Sciences Studies, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Perak Branch, Tapah Campus, Malaysia.
Nurul Husna Jamian: School of Mathematical Sciences Studies, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Perak Branch, Tapah Campus, Malaysia.
Nur Faezah Jamal: School of Mathematical Sciences Studies, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Perak Branch, Tapah Campus, Malaysia.
International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 3s, 1913-1918
Abstract:
An important aspect of the education system is measuring student achievement and ability, which provides educators with critical insights into the extent to which students have mastered and comprehension of course learning objectives. Despite the various statistical assessments that have been introduced aimed at measuring the learning objectives of statistics, significant challenges and obstacles persist. This study aims to determine the factors that constitute the statistical perceived ability of the self-developed questionnaire using exploratory factor analysis (EFA). The respondents of this study were 280 undergraduate students via convenience sampling and snowball sampling methods. The results of the EFA showed there are three underlying factor components of statistical perceived ability namely Statistical Literacy, Statistical Reasoning, and Statistical Thinking. These three components explained 73.3% of the total variance with the overall reliability of the instrument is 0.921. Apart from contributing further insight to the current literature on student assessment regarding statistical ability, the results also provide a reliable source of information to researchers for future research on statistical assessment practice skills in Higher Education Institutions (HEIs) that will make a meaningful contribution to statistics education.
Date: 2024
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