Factors affecting use of computer statistical applications among undergraduate students of economics in Ambrose Alli University, Ekpoma

N. T. Akinlosotu
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Abstract

This study investigated factors affecting use of computer statistical applications among undergraduate students of Economics in Ambrose Alli University, Ekpoma. The study was concerned with determining the relationship between predictor variables (performance expectancy, effort expectancy, social influence and facilitating conditions) and use of statistical applications. 400 students were drawn by stratified random sampling technique from the population of 808 regular students in the Department of Economics. Instrument used for the collection of data was a survey questionnaire adapted and modified from the work of Abdulwahab & Dahalin (2010). Linear regression technique was used to establish the relationship between the dependent and independent variables at 0.05 level of significance. Findings showed that performance and effort expectancy have no significant relationship with students’ statistical application usage (p>0.05) while social influence and facilitating conditions are significantly related with students’ use of the applications (p<0.05). R-square (R 2 ) was 0.76 depicting that 76.0% change in students’ use of computer statistical applications was determined by the predictors (performance expectancy, effort expectancy, social influence and facilitating conditions). It was recommended for the faculty to create a social forum where students can meet to share knowledge on data analysis and computer statistical application usage. Keywords: Statistical Applications, Performance expectancy, Effort expectancy, Social influence, facilitating conditions
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影响安布罗斯阿利大学经济学本科生使用计算机统计应用程序的因素,Ekpoma
本研究调查了影响艾波马市安布罗斯艾里大学经济学专业本科生使用计算机统计应用程序的因素。这项研究涉及确定预测变量(预期表现、预期努力、社会影响和便利条件)与统计应用程序的使用之间的关系。采用分层随机抽样的方法,从经济学系808名普通学生中抽取400名学生。用于收集数据的工具是根据Abdulwahab & Dahalin(2010)的工作改编和修改的调查问卷。采用线性回归技术建立因变量与自变量之间的关系,其显著性水平为0.05。结果表明,成绩和努力期望与学生统计应用程序的使用无显著相关(p>0.05),而社会影响和便利条件与学生统计应用程序的使用有显著相关(p<0.05)。R平方(r2)为0.76,说明学生使用计算机统计应用程序的76.0%的变化是由预测因子(表现预期、努力预期、社会影响和便利条件)决定的。建议教师创建一个社会论坛,学生可以在那里聚会,分享数据分析和计算机统计应用程序使用方面的知识。关键词:统计应用,绩效期望,努力期望,社会影响,促进条件
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