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dc.contributor.authorSandnes, Frode Eika
dc.contributor.authorEika, Evelyn
dc.contributor.authorMedola, Fausto Orsi
dc.date.accessioned2018-10-09T09:05:10Z
dc.date.accessioned2018-10-26T07:42:25Z
dc.date.available2018-10-09T09:05:10Z
dc.date.available2018-10-26T07:42:25Z
dc.date.issued2018-06-05
dc.identifier.citationSandnes FE, Eika H, Medola FO. Towards a framework for the design of quantitative experiments: Human-computer interaction and accessibility research. Lecture Notes in Computer Science. 2018;10907 LNCS:107-120en
dc.identifier.issn0302-9743
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.issnhttps://dx.doi.org/10.1007/978-3-319-92049-8_8
dc.identifier.urihttps://hdl.handle.net/10642/6284
dc.description.abstractMany students and researchers struggle with the design and analysis of empirical experiments. Such issue may be caused by lack of knowledge about inferential statistics and suitable software tools. Often, students and researchers conduct experiments without having a complete plan for the entire lifecycle of the process. Difficulties associated with the statistical analysis are often ignored. Consequently, one may end up with data that cannot be easily analyzed. This paper discusses the concept sketch of a framework that intends to help students and researchers to design correct empirical experiments by making sound design decisions early in the research process. The framework consists of an IDE, i.e., Integrated (statistical experiment) Development Environment. This IDE helps the user structures an experiment by giving continuous feedback drawing the experimenter’s attention towards potential problems. The output of the IDE is an experimental structure and data format that can be imported to common statistical packages such as JASP in addition to providing guidance about what tests to use.en
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.relation.ispartofseriesLecture Notes in Computer Science;10907; Universal Access in Human-Computer Interaction. Methods, Technologies, and Users
dc.rightsThe final publication is available at Springer via http://dx.doi.org/ 10.1007/978-3-319-92049-8_8en
dc.subjectInferential statisticsen
dc.subjectExperiment designsen
dc.subjectIntegrated development environmentsen
dc.subjectHuman-computer interactionsen
dc.subjectUniversal accessibilitiesen
dc.titleTowards a framework for the design of quantitative experiments: Human-computer interaction and accessibility researchen
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2018-10-09T09:05:10Z
dc.description.versionacceptedVersionen
dc.source.journalLecture Notes in Computer Science


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