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dc.contributor.authorLow-Choy, Samantha
dc.contributor.authorRiley, Tasha
dc.contributor.authorAlston-Knox, Clair
dc.date.accessioned2018-04-27T01:30:23Z
dc.date.available2018-04-27T01:30:23Z
dc.date.issued2017
dc.identifier.issn0952-3987
dc.identifier.doi10.1080/09523987.2017.1397404
dc.identifier.urihttp://hdl.handle.net/10072/364657
dc.description.abstractBayesian methods provide a more general approach to statistical analysis that mathematically includes Null Hypothesis Significance Testing (NHST) and classical statistical modelling as special cases. This expanded, Bayesian, approach provides several benefits, which we illustrate using a case study about decision-making by teachers. We focus on a relatively unexplored topic: the way in which a Bayesian approach provides a “bridge” between qual/quant methods. We highlight five bridges, illustrated using the case study: (1) visualization of the conceptual framework, (2) generalization via randomization and alternatives, (3) stories for interpretation, (4) computation that is flexible, and (5) continual learning, through priors. This work illustrates these bridges using a case study on a digital tool that wove together: a behavioural study to investigate decision-making, with an inbuilt perceptual component to probe rationale for specific decisions, and an interview component. A mixed method was therefore a natural choice for integrating learnings across these data sources, collected using a single online tool. Thus, the digital learning sphere provides a context for raising awareness of the potential that the Bayesian statistical paradigm offers researchers who wish to connect qual/quant methods. In conclusion, mixing-in Bayesian with qualitative not only innovates on methodology. It also reshapes the ontology, epistemiology and axiology: providing a common ground for qual/quant methods, as a basis for better communication; redefining what quantitative method is, what it can achieve, and how it is done – particularly within a mixed method framework.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherTaylor & Francis
dc.relation.ispartofpagefrom317
dc.relation.ispartofpageto359
dc.relation.ispartofissue4
dc.relation.ispartofjournalEducational Media International
dc.relation.ispartofvolume54
dc.subject.fieldofresearchTeacher Education and Professional Development of Educators
dc.subject.fieldofresearchApplied Statistics
dc.subject.fieldofresearchcode130313
dc.subject.fieldofresearchcode010401
dc.titleUsing Bayesian statistical modelling as a bridge between quantitative and qualitative analyses: illustrated via analysis of an online teaching tool
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionPost-print
gro.facultyArts, Education & Law Group, School of Criminology and Criminal Justice
gro.rights.copyright© 2017 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Educational Media International on 23 Nov 2017, available online: 10.1080/09523987.2017.1397404
gro.hasfulltextFull Text
gro.griffith.authorRiley, Tasha A.
gro.griffith.authorAlston-Knox, Clair L.
gro.griffith.authorLow-Choy, Sama J.


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