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Quantitative Research Methods and Data Analysis

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dc.contributor.author Probert, Tracy
dc.contributor.author Schaefer, Maxine
dc.contributor.author Wilsenach, Anneke Carien
dc.date.accessioned 2022-04-05T14:46:59Z
dc.date.available 2022-04-05T14:46:59Z
dc.date.issued 2020
dc.identifier.uri https://unisa.figshare.com/articles/dataset/Quantitative_Research_Methods_and_Data_Analysis_Workshop_2020/12581483/1
dc.identifier.uri https://hdl.handle.net/10500/28680
dc.description A link is provided above and it will take you to the OER page. en
dc.description.abstract This OER (Quantitative Research Methods and Data Analysis Workshop 2020) consists of the syllabus that was used to teach quantitative research design and analysis methods to graduate Linguistics students in a blended course over a period of two weeks. Students worked through the topics included in the syllabus in preparation for live interactive video sessions. The links to live online sessions and course evaluations have been removed from the OER. The OER introduces students/researchers to the steps and decisions involved in quantitative data analysis of linguistic data, and explains common statistical terminology, such as ‘sample’, ‘mean’, ‘standard deviation’, ‘correlation’, ‘nominal’, ‘ordinal’ and ‘scale’ data. The OER further explains the use of common statistical tests (e.g. t-test, correlation, anova, regression) and demonstrates how one should perform these tests using jamovi. The OER finally leads students/researchers to understand how the results of statistical tests should be interpret and reported, and describes the various graphing options that are available in jamovi to display data. en
dc.rights Attribution-NonCommercial-ShareAlike 2.5 South Africa
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/za
dc.subject jamovi en
dc.subject linguistics en
dc.subject research en
dc.subject quantitative en
dc.subject data analysis en
dc.title Quantitative Research Methods and Data Analysis en
dc.type Presentation en
dc.description.department Linguistics and Modern Languages en


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  • Unisa Open Teaching and Learning Materials [129]
    Teaching and learning materials, consisting of single file objects (for example presentations, digital images and videos) authored by Unisa staff and licensed with an open license.

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Attribution-NonCommercial-ShareAlike 2.5 South Africa Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 2.5 South Africa

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