Research students in social science disciplines frequently struggle to master statistical analysis. A contributing factor may be the statistical software that is used, as the design of such software may not address the needs of non-statisticians or non-computer programming students. Hence, decisions about which statistical software tools are most suitable for such end-users need to be made at the introductory level. This paper first identifies key human-computer interaction (HCI) factors that may directly influence students' statistical analysis performance. Factors include technical properties such as user interface design, statistical features available, visualization, data handling, preparation, and manipulation, and usage properties such as speed/number of steps, ease of command/use, and efficiency. Four popular software systems (ie, SPSS, R within RStudio Desktop, R Commander & jamovi) were evaluated. Findings suggest that HCI usage factors from an interaction perspective are likely to be especially important for students gaining an introductory knowledge of statistics.

中文翻译：

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比较用于介绍性数据科学和社会科学统计的四种当代统计软件工具

社会科学学科的研究生经常难以掌握统计分析。一个促成因素可能是所使用的统计软件，因为此类软件的设计可能无法满足非统计学家或非计算机编程学生的需求。因此，需要在介绍级别就决定哪些统计软件工具最适合此类最终用户。本文首先确定了可能直接影响学生统计分析表现的关键人机交互 (HCI) 因素。因素包括技术属性，例如用户界面设计、可用的统计功能、可视化、数据处理、准备和操作，以及使用属性，例如速度/步骤数、命令/使用的易用性和效率。四种流行的软件系统（即 SPSS、RStudio Desktop、R Commander 和 jamovi 中的 R）进行了评估。研究结果表明，从交互角度来看，HCI 使用因素对于获得统计学入门知识的学生来说可能尤其重要。