Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/20069
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dc.contributor.authorTurner, Kenneth Jen_UK
dc.contributor.authorLambert, Paulen_UK
dc.date.accessioned2018-01-25T01:39:35Z-
dc.date.available2018-01-25T01:39:35Z-
dc.date.issued2015-06en_UK
dc.identifier.urihttp://hdl.handle.net/1893/20069-
dc.description.abstractThe background is given to how statistical analysis is used by quantitative social scientists. Developing statistical analyses requires substantial effort, yet there are important limitations in current practice. This has motivated the authors to create a more systematic and effective methodology with supporting tools. The approach to modelling quantitative data analysis in the social sciences is presented. Analysis scripts are treated abstractly as mathematical functions and concretely as web services. This allows individual scripts to be combined into high-level workflows. A comprehensive set of tools allows workflows to be defined, automatically validated and verified, and automatically implemented. The workflows expose opportunities for parallel execution, can define support for proper fault handling, and can be realised by non-technical users. Services, workflows and datasets can also be readily shared. The approach is illustrated with a realistic case study that analyses occupational position in relation to health.en_UK
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.relationTurner KJ & Lambert P (2015) Workflows for Quantitative Data Analysis in The Social Sciences. International Journal on Software Tools for Technology Transfer, 17 (3), pp. 321-338. https://doi.org/10.1007/s10009-014-0315-4en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Publisher policy allows this work to be made available in this repository; The original publication is available at www.springerlink.comen_UK
dc.subjecte-Social Scienceen_UK
dc.subjectQuantitative Data Analysisen_UK
dc.subjectd Scientific Workflowen_UK
dc.subjectService-Oriented Architectureen_UK
dc.subjectStatistical Analysisen_UK
dc.titleWorkflows for Quantitative Data Analysis in The Social Sciencesen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[wf-stats.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.identifier.doi10.1007/s10009-014-0315-4en_UK
dc.citation.jtitleInternational Journal on Software Tools for Technology Transferen_UK
dc.citation.issn1433-2787en_UK
dc.citation.issn1433-2779en_UK
dc.citation.volume17en_UK
dc.citation.issue3en_UK
dc.citation.spage321en_UK
dc.citation.epage338en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderEconomic and Social Research Councilen_UK
dc.author.emailkjt@cs.stir.ac.uken_UK
dc.citation.date27/04/2014en_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationSociology, Social Policy & Criminologyen_UK
dc.identifier.isiWOS:000355682600006en_UK
dc.identifier.scopusid2-s2.0-84901730729en_UK
dc.identifier.wtid631690en_UK
dc.contributor.orcid0000-0002-3045-4172en_UK
dc.description.refREF Compliant by Deposit in Stirling's Repositoryen_UK
dc.date.filedepositdate2014-05-06en_UK
dc.relation.funderprojectData Management through e-Social Science: Case studies, Provisions and Support (Dames)en_UK
dc.relation.funderrefES/F029497/1en_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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