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. |
|---|---|
| Authors: | Shepherd, Melissa A.1 (AUTHOR) mshephe1@montevallo.edu, Richardson, Elizabeth J.1 (AUTHOR) |
| Source: | Teaching Statistics. Jan2024, Vol. 46 Issue 1, p53-63. 11p. |
| Subject Terms: | *Online education, Statistical software, Freeware (Computer software) |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Teaching Statistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 175055522 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Opting for open‐source? A review of free statistical software programs. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shepherd%2C+Melissa+A%2E%22">Shepherd, Melissa A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mshephe1@montevallo.edu</i><br /><searchLink fieldCode="AR" term="%22Richardson%2C+Elizabeth+J%2E%22">Richardson, Elizabeth J.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Teaching+Statistics%22">Teaching Statistics</searchLink>. Jan2024, Vol. 46 Issue 1, p53-63. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+software%22">Statistical software</searchLink><br /><searchLink fieldCode="DE" term="%22Freeware+%28Computer+software%29%22">Freeware (Computer software)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Teaching Statistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=175055522 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/test.12360 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 53 Subjects: – SubjectFull: Online education Type: general – SubjectFull: Statistical software Type: general – SubjectFull: Freeware (Computer software) Type: general Titles: – TitleFull: Opting for open‐source? A review of free statistical software programs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shepherd, Melissa A. – PersonEntity: Name: NameFull: Richardson, Elizabeth J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0141982X Numbering: – Type: volume Value: 46 – Type: issue Value: 1 Titles: – TitleFull: Teaching Statistics Type: main |
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