Predicting statistic anxiety by attitude toward statistics, statistics self-efficacy, achievement in statistics and academic procrastination among students of social sciences colleges

IF 1.9 Q2 EDUCATION & EDUCATIONAL RESEARCH Journal of Applied Research in Higher Education Pub Date : 2024-07-10 DOI:10.1108/jarhe-01-2024-0021
Hamzeh Dodeen, Siham Alharballeh
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Abstract

Purpose

This study aimed at identifying the prevalence of statistic anxiety among students in social sciences programs and analyzing the relationship between statistics anxiety and four key variables: attitude toward statistics, statistics self-efficacy, achievement in statistics and academic procrastination.

Design/methodology/approach

Method a total of 440 students from all statistics sections offered in the social sciences programs in a four-year public medium-sized university in UAE participated in this study. Students participated by responding to a package that has four instruments: Statistics Anxiety Scale, Attitudes Toward Statistics, Current Statistics Self-Efficacy and Procrastination Assessment Scale.

Findings

More than 27% of students have above average statistics anxiety. Significant correlations were observed between statistics anxiety and each of attitude toward statistics course (−0.34), academic procrastination (0.33) and achievement (−0.35). On the other hand, Attitudes Toward Statistics and statistics self-efficacy have non-significant correlations. The four variables together predict more than 32% of the total variance of statistics anxiety, and the best predictor was procrastination followed by course attitude.

Research limitations/implications

Students from only one university participated in this study. Adding more universities and countries could increase the generalizability of the study.

Practical implications

Statistics anxiety is prevalent among students in social sciences programs. Statistics instructors must be ready to deal with reducing it. Several procedures have been suggested to reduce statistics anxiety but improving attitudes towards statistics courses is the key factor in this regard.

Social implications

Many students from social sciences and humanities programs and colleges experience anxiety or tension related to statistics courses which are required in most higher education institution. This paper tried to understand which variables affecting this phenomenon and in which directions. At the end, statistics is an important subject for all students during their academic life as well as practical life after graduation.

Originality/value

Statistic anxiety is the feeling of worrying and tension that students experience when taking statistics courses, especially in social sciences programs. Studying statistic anxiety and the related variables is crucial because this anxiety negatively and significantly affects students’ achievement and learning.

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用统计态度、统计自我效能感、统计成绩和学业拖延来预测社会科学学院学生的统计焦虑
目的 本研究旨在确定社会科学专业学生中统计焦虑的普遍程度,并分析统计焦虑与四个关键变量之间的关系:对统计的态度、统计自我效能感、统计成绩和学术拖延。学生们通过对一套包含四种工具的问卷进行回答来参与研究:研究结果超过 27% 的学生有高于平均水平的统计焦虑。统计焦虑与统计课程态度(-0.34)、学业拖延(0.33)和成绩(-0.35)之间存在显著相关。另一方面,统计态度和统计自我效能感之间的相关性不显著。这四个变量共同预测了统计焦虑总方差的 32%以上,而最佳预测因子是拖延,其次是课程态度。实际意义统计焦虑在社会科学专业的学生中普遍存在。统计学教师必须做好应对准备,以减少这种焦虑。社会意义许多社会科学和人文学科专业的学生和学院都经历过与统计课程相关的焦虑或紧张,而统计课程是大多数高等教育机构的必修课程。本文试图了解哪些变量会影响这一现象以及影响的方向。统计焦虑是指学生在学习统计课程时,尤其是社会科学专业的学生在学习统计课程时产生的担忧和紧张情绪。研究统计焦虑及其相关变量至关重要,因为这种焦虑会对学生的成绩和学习产生显著的负面影响。
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来源期刊
Journal of Applied Research in Higher Education
Journal of Applied Research in Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
4.50
自引率
11.80%
发文量
63
期刊介绍: Higher education around the world has become a major topic of discussion, debate, and controversy, as a range of political, economic, social, and technological pressures result in a myriad of changes at all levels. But the quality and quantity of critical dialogue and research and their relationship with practice remains limited. This internationally peer-reviewed journal addresses this shortfall by focusing on the scholarship and practice of teaching and learning and higher education and covers: - Higher education teaching, learning, curriculum, assessment, policy, management, leadership, and related areas - Digitization, internationalization, and democratization of higher education, and related areas such as lifelong and lifewide learning - Innovation, change, and reflections on current practices
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