Opting for Open-Source? A Review of Free Statistical Software Programs
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| Title: | Opting for Open-Source? A Review of Free Statistical Software Programs |
|---|---|
| Language: | English |
| Authors: | Melissa A. Shepherd (ORCID |
| Source: | Teaching Statistics: An International Journal for Teachers. 2024 46(1):53-63. |
| Availability: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 11 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Information Analyses |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Open Source Technology, Statistics, Computer Software, Computer Software Reviews, Statistics Education, Electronic Learning, Technology Uses in Education, Technology Integration, Usability, Courseware, Media Selection, Higher Education, Faculty |
| DOI: | 10.1111/test.12360 |
| ISSN: | 0141-982X 1467-9639 |
| Abstract: | 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. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1408943 |
| Database: | ERIC |
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