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dc.contributor.authorMartín-Rodilla, Patriciaes_ES
dc.contributor.authorPanach, José Ignacioes_ES
dc.contributor.authorGonzález-Pérez, Césares_ES
dc.contributor.authorPastor, Óscares_ES
dc.date.accessioned2016-10-25T10:16:55Z-
dc.date.available2016-10-25T10:16:55Z-
dc.date.issued2016-10-25-
dc.identifier.citationAn experiment on accuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: dataset appendix [Dataset], 2016es_ES
dc.identifier.urihttp://hdl.handle.net/10261/139309-
dc.descriptionData analysis represents the most important group of tasks carried out in research contexts. Due to the current lack of empirical studies about data analysis performance in digital humanities research contexts, we conducted an empirical experiment comparing data analysis performance employed traditional software versus data analysis performance employed software-assistance tools which incorporate cognitive processes in their design. The experiment is designed in terms of accuracy, efficiency, productivity and user satisfaction during the data analysis made by researchers in digital humanities. It allowed us to find some clear benefits of the cognitive inclusion in the software designed for research contexts, with statistically significant differences in terms of accuracy, productivity and researcher’s satisfaction in support of this explicit inclusion, although some efficiency weaknesses are detected. This dataset presents the raw data obtained during the first round of our experiment, with a total of 16 subjects and 32 responses randomly collected as sample. The dataset also contains the results of the statistical analysis performed using a repeated measures experimental design in a mixed lineal model.es_ES
dc.description.abstractThis dataset contains information regarding a performance experiment carried out in order to assess the data analysis process perform by digital humanitites scholars in research contexts. The datasets contains raw data obtained during the experiment, as well as the statistical analysis of the results using a repeated measures experimental design in a mixed lineal model.es_ES
dc.language.isoenges_ES
dc.relation.isreferencedbyMartín-Rodilla, Patricia; Panach, José Ignacio; González-Pérez, César ; Pastor, Óscar. Accuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: Experiment design. http://hdl.handle.net/10261/139307es_ES
dc.rightsopenAccesses_ES
dc.subjectData analysises_ES
dc.subjectData analysis performancees_ES
dc.subjectDigital humanitieses_ES
dc.subjectMixed lineal modeles_ES
dc.subjectEmpirical studyes_ES
dc.subjectCognitive processeses_ES
dc.subjectSoftware engineeringes_ES
dc.titleAn experiment on accuracy, efficiency, productivity and researchers’ satisfaction in digital humanities data analysis: dataset appendixes_ES
dc.typedatasetes_ES
dc.identifier.doi10.20350/digitalCSIC/7388-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.subject.urihttp://vocabularies.unesco.org/thesaurus/concept10442-
dc.subject.urihttp://vocabularies.unesco.org/thesaurus/concept387-
dc.subject.urihttp://vocabularies.unesco.org/thesaurus/concept6107-
dc.type.coarhttp://purl.org/coar/resource_type/c_ddb1es_ES
dc.subject.unescoHumanidadeses_ES
dc.subject.unescoCogniciónes_ES
dc.subject.unescoMedios electrónicoses_ES
item.cerifentitytypeProducts-
item.openairecristypehttp://purl.org/coar/resource_type/c_ddb1-
item.grantfulltextopen-
item.openairetypedataset-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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