Opting for open‐source? A review of free statistical software programs
Statistical software is commonly used in undergraduate social sciences statistics courses. Due to the increase in online/hybrid courses and the cost of SPSS, instructors may wish to switch to another statistical software. We cover seven programs: Excel, Google Sheets, jamovi, JASP, PSPP, R, and SOFA...
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Veröffentlicht in: | Teaching statistics 2024, Vol.46 (1), p.53-63 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Statistical software is commonly used in undergraduate social sciences statistics courses. Due to the increase in online/hybrid courses and the cost of SPSS, instructors may wish to switch to another statistical software. We cover seven programs: Excel, Google Sheets, jamovi, JASP, PSPP, R, and SOFA. We compare programs using the following criteria: ease of download, quality of online instructions, availability of instructor resources, sophistication of analyses available, ease of use, operating system requirements, whether it uses point‐and‐click or code, and whether a VPAT is available. Adopting new course materials is a valuable part of instruction but time‐consuming. Therefore, this review provides information about commonly available or free open‐source programs so instructors can choose based on the needs of their students and/or institutions. |
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ISSN: | 0141-982X 1467-9639 |
DOI: | 10.1111/test.12360 |