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dc.contributor.authorElliott, J
dc.date.accessioned2022-06-30T12:17:39Z
dc.date.issued2022-06-22
dc.date.updated2022-06-30T11:13:08Z
dc.description.abstractThe aim of this paper is to explore and explicate a method for using NVivo12 to analyze the responses to open-ended questions in surveys. It focuses on the features of NVivo12 that facilitate this particular type of mixed-methods research. Open-ended questions are used within surveys across a wide variety of disciplines and provide opportunities for participants to provide their own perspectives on a topic of interest. However, they can be challenging to analyze; if the survey has a large sample size, a very considerable corpus of text will be generated, yet the text associated with any single individual is likely to be modest and lack the context and richness usually associated with qualitative research. The paper builds on a recent contribution by Feng and Behar-Horenstein (2019) and demonstrates how the new features of NVivo12 specifically assist mixed-methods research by adding a new Crosstab query function and making it easier to export and import data directly from SPSS.en_GB
dc.identifier.citationVol. 27 (6), pp. 1673-1687en_GB
dc.identifier.doihttps://doi.org/10.46743/2160-3715/2022.5460
dc.identifier.urihttp://hdl.handle.net/10871/130107
dc.identifierORCID: 0000-0003-2683-0099 (Elliott, Jane)
dc.identifierScopusID: 14832593600 (Elliott, Jane)
dc.language.isoenen_GB
dc.publisherNova Southeastern Universityen_GB
dc.rights© 2022: Jane Elliott and Nova Southeastern University. Open access. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.en_GB
dc.subjectNVivoen_GB
dc.subjectqualitativeen_GB
dc.subjectsurveysen_GB
dc.subjectanalysisen_GB
dc.subjectCAQDASen_GB
dc.subjectfutureen_GB
dc.titleThe Craft of Using NVivo12 to Analyze Open-Ended Questions: An Approach to Mixed Methods Analysisen_GB
dc.typeArticleen_GB
dc.date.available2022-06-30T12:17:39Z
dc.descriptionThis is the final version. Available on open access from Nova Southeastern University via the DOI in this recorden_GB
dc.identifier.eissn2160-3715
dc.identifier.journalThe Qualitative Reporten_GB
dc.relation.ispartofThe Qualitative Report
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-06-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-06-30T12:14:45Z
refterms.versionFCDVoR
refterms.dateFOA2022-06-30T12:17:56Z
refterms.panelCen_GB
refterms.dateFirstOnline2022-06-22


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© 2022: Jane Elliott and Nova Southeastern University. Open access. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.
Except where otherwise noted, this item's licence is described as © 2022: Jane Elliott and Nova Southeastern University. Open access. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.