Show simple item record

dc.rights.licenseUsers may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorGray, Wayne D., 1950-
dc.contributorMendonça, David
dc.contributorDunn, Stanley
dc.contributor.authorSangster, Matthew-Donald
dc.date.accessioned2021-11-03T08:47:39Z
dc.date.available2021-11-03T08:47:39Z
dc.date.created2017-07-03T14:04:15Z
dc.date.issued2017-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/1928
dc.descriptionMay 2017
dc.descriptionSchool of Humanities, Arts, and Social Sciences
dc.description.abstractThough both individual and team performance are widely studied, evaluating individual performance within the context of the team usually relies on relative measures of performance. However, in order to apply much of the findings and theories from individual performance literature it is crucial to develop an absolute measure of individual performance--a "Snapshot" individual performance metric. With such a measure, it becomes possible to determine the contribution of a individual towards the goals of the team. This paper uses Big Data (1.9 million records from 539 thousand matches) from League of Legends, a widely popular competitive team game to look at individual performance based on the overall priorities different members of a team should have. This research applies exploratory factor analysis and logistic regression to determine the latent factor structure of behavioral variables that are predictive of team performance. Through this, we develop the first steps of establishing an individual priority-based measure of performance that can be used to evaluate individual performance for a single observation.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectCognitive science
dc.titleFinding the 'I' in team: development of a snapshot individual performance metric
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid178134
dc.digitool.pid178135
dc.digitool.pid178136
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Cognitive Science


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record