Jamovi為適用於教育和研究使用的易用開源統計軟體

A User-Friendly, Open-Source Statistical Software "Jamovi" for Education and Research

辜美安(Malcolm Koo) ； 吳宜霖(Yi Lin Wu)

《台灣醫學》 28卷1期 (2024/01) Pp. 112-118

https://doi.org/10.6320/FJM.202401_28(1).0013

摘要

本文旨在介紹一款名為jamovi的統計軟體，主要探討其特色和功能。它是一款免費、跨平台、開源的R語言前端界面軟體，具有視窗式下拉菜單，並支援R語言及R套件。對統計初學者來說，jamovi提供直觀的用戶界面，讓使用者能快速熟悉並掌握基本統計方法，降低學習成本。對進階用戶而言，可透過安裝模組擴充jamovi的統計功能。本文同時分析jamovi的優缺點，以便讀者理解這款軟體的優勢和局限性。總括而言，jamovi是一款易於學習和使用的統計軟體，與R語言的相容性也讓它適用在教學場合，是一款值得嘗試的數據分析工具。

關鍵字

統計分析 ； 數據分析 ； 統計軟體 ； 數據可視化

並列摘要

The aim of this article is to introduce a statistical software called jamovi, focusing on its features and functionality. It is a free, cross-platform, open-source R language that serves as a front-end interface software with a dropdown menu and support for R language and R packages. For beginners in statistics, jamovi provides an intuitive user interface that enables users to quickly familiarize themselves with basic statistical methods, thereby reducing learning costs. For advanced users, jamovi's statistical functions can be expanded by installing modules. This article also analyzes the advantages and weaknesses of jamovi so that readers can understand the strengths and limitations of this software. In summary, jamovi is a statistical software that is easy to learn and use. Its compatibility with the R language makes it an ideal choice for educational settings and therefore, a data analysis tool worth further exploring.

並列關鍵字

statistical analysis ； data analysis ； statistical software ； data visualization

參考文獻

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Abbasnasab Sardareh S, Brown GT, Denny P. Comparing four contemporary statistical software tools for introductory data science and statistics in the social sciences. Teach Stat 2021;43:S157-72. https://doi.org/10.1111/test.12274

Navarro DJ, Foxcroft DR. Learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.75). 2022. doi:10.24384/hgc3-7p15. https://www.learn statswithjamovi.com/ Accessed April 2, 2023.

GNU PSPP: GNU PSPP (Version 1.6.2). Free Software Foundation, Boston, MA, USA. https://www.gnu.org/software/pspp/ Accessed April 2, 2023.

RStudio Team: RStudio: Integrated Development Environment for R. RStudio, PBC, Boston, MA. https://www.rstudio.com/ Accessed April 2, 2023.