A PICTURE PAINTS A THOUSAND NUMBERS - AND TELLS A STORY: A POSTPOSITIVIST APPROACH TO BUILDING SUBSTANTIVE GROUNDED THEORY USING DECISION TREE ANALYSIS.
This article illustrates how decision tree analysis, using quantitative data normally associated with deductive methodologies, can be employed to inductively generate substantive grounded theory (GT). Within the context of academic disadvantage and development, a practical demonstration is provided...
| Publicado en: | South African Journal of Higher Education Vol. 29; no. 6; pp. 124 - 145 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sabinet Online Limited
2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=123575339&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 123575339 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 10113487 SG3 jtl: South African Journal of Higher Education issn: 10113487 maglogo: N pubinfo: dt: 2015 vid: 29 iid: 6 pid: 31334 pub: Sabinet Online Limited artinfo: ui: 123575339 ppf: 124 ppct: 21 formats: tig: atl: A PICTURE PAINTS A THOUSAND NUMBERS - AND TELLS A STORY: A POSTPOSITIVIST APPROACH TO BUILDING SUBSTANTIVE GROUNDED THEORY USING DECISION TREE ANALYSIS. aug: au: Kirby, N. F. Dempster, E. R. affil: School of Education University of KwaZulu-Natal Pietermaritzburg, South Africa su: Decision trees Quantitative research Deductive databases Grounded theory CART algorithms sug: subj: Decision trees Quantitative research Deductive databases Grounded theory CART algorithms keyword: classification and regression tree analysis quantitative method science foundation programme substantive grounded theory ab: This article illustrates how decision tree analysis, using quantitative data normally associated with deductive methodologies, can be employed to inductively generate substantive grounded theory (GT). Within the context of academic disadvantage and development, a practical demonstration is provided of how theoretical explanations for student performance may be generated. Specifically, the chemistry, physics and biology modules of a science foundation programme are examined using classification and regression tree (CART) analysis towards an understanding of the factors that best facilitate a pass in each of these modules. together with research published elsewhere on performance in the mathematics module, and the foundation programme as a whole, the findings allowed a number of 'conceptualisations' to emerge that may become the focus for GT generation. Such a substantive theory can contribute towards an understanding, on a broader scale, of what is needed to enhance student persistence, and improve retention and throughput rates in Science, technology, Engineering and Mathematics (Stem) in South African higher education. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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