Abstract

The present study investigated relationships between statistics anxiety (SA), trait anxiety, attitudes towards mathematics and statistics, and academic achievement among university students who had at least one study course related to statistics in their study programme. Five hundred and twelve students from the University of Ljubljana completed the Statistics Anxiety Rating Scale (STARS), State-Trait Anxiety Inventory, and answered questions about their perceptions of mathematics and statistics. The results showed below-average mean scores on the STARS dimensions, except for the Test and Class Anxiety with the average score around the midpoint of the scale. Female students reported higher levels of SA than male students did. The highest levels of SA were reported by students who perceived mathematics and statistics as a threat. The subscales of the STARS correlated positively with students’ trait anxiety. Students who reported less enjoyment in mathematics in high school perceived statistics to be a less worthy subject and had a lower computation self-concept. Students who had better mathematics performance in high school and higher average study grades also reported a higher computation self-concept. In the present study, we translated the STARS questionnaire into Slovenian and confirmed the six-factor structure of the questionnaire. The results provide a basis for further research on statistics anxiety and further validation of the STARS questionnaire. The results can also aid statistics teachers in better understanding students’ worries, fears, and attitudes towards statistics and in learning about the factors that affect students’ statistics anxiety and their work in the course.

Highlights

  • Statistics is a mathematical discipline that investigates how statistical data can be collected, summarised and presented

  • We can observe a positive attitude towards mathematics among more than one third of the respondents

  • Compared to the attitude towards mathematics, there was a higher percentage of students who perceived statistics as a threat (22.3%), a similar percentage of students who perceived statistics as something between a challenge and a threat (36.3%), and a lower percentage of students who perceived it as a challenge (24.2%)

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Summary

Introduction

Statistics is a mathematical discipline that investigates how statistical data can be collected, summarised and presented. Statistical knowledge is useful in many scientific fields (e.g., medicine, computer science, mathematics, economics, finance, etc.). Modern medicine is based on statistics: randomised controlled trials have been described as ‘one of the simplest, most powerful and revolutionary tools in research’ Governments use statistical analysis of data to explain economic and social issues. Food technologists, and supermarkets implicitly use statistics to decide what to grow, process, package, and distribute (Hand, 2008). Statistics is undoubtedly the basis of all science and scientific research. In the modern data-driven world, it would be impossible to make decisions without using statistical methods

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