Development, Validation and Standardization of Instrument to Measure Statistical Literacy among Universities Undergraduates in Cross River State

U. Ofem, Isaac Ubi Ofem, S. Akpan, S. V. Ovat, C. E. Nworgwugwu, B. Otu, C. Atah
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Abstract

The study developed, validated, and standardised a statistical literacy test for university undergraduates in Cross River State, Nigeria. Five research questions were raised to guide this study. The study adopted an instrumentation design. A stratified sampling technique was used to select a total of 753 respondents from a population of 4705 students. Three instruments were used to collect data: the Statistical Literacy Test (SLT), the Statistical Reasoning Test (SRT), and the Statistical Anxiety Test (SAT). Descriptive statistics (means and simple percentages), correlational analysis, and the factor analytical technique were used to analyse the data collected. The result showed that only 25 items survived the last item assessment. The instrument was found to have strong construct validity as the items in the correlation matrix were all positively correlated. The statistical literacy scale showed convergence with statistical reasoning but diverged with statistical anxiety. The reliability of the instrument was found to be high as the coefficients of the scale were 0.81, 0.77, and 0.78 respectively, and it was adjudged reliable. Based on the findings of the study, it was concluded that the instrument was valid and reliable. Thus, it was recommended that students' skills in statistics should not just be on the computational aspect but on the utilisation of statistical knowledge. Statistics lecturers should emphasise statistical literacy to help students reason and think statistically, and the instrument should be widely distributed for use by researchers and psychometricians.   Received: 16 August 2022 / Accepted: 28 October 2022 / Published: 5 November 2022
克罗斯河州大学生统计素养测评工具的开发、验证与标准化
该研究为尼日利亚克罗斯河州的大学本科生制定、验证并标准化了一项统计识字测试。提出了五个研究问题来指导本研究。本研究采用仪器设计。采用分层抽样技术,从4705名学生中选出753名受访者。使用三种工具收集数据:统计读写能力测试(SLT)、统计推理测试(SRT)和统计焦虑测试(SAT)。采用描述性统计(均值和简单百分比)、相关分析和因子分析技术对收集到的数据进行分析。结果显示,只有25个项目通过了最后一个项目的评估。由于相关矩阵中的项目均为正相关,因此该工具具有较强的结构效度。统计素养量表与统计推理呈现趋同,与统计焦虑呈现分化。量表的系数分别为0.81、0.77、0.78,量表的信度较高,判定量表可靠。根据研究结果,该仪器是有效和可靠的。因此,建议学生在统计方面的技能不应该只是在计算方面,而是在统计知识的利用上。统计学讲师应强调统计素养,以帮助学生进行统计推理和思考,该工具应广泛分发,供研究人员和心理测量学家使用。收稿日期:2022年8月16日/收稿日期:2022年10月28日/发表日期:2022年11月5日
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