Derivation of Gain in a Hierarchical Multiple-Goal Pursuit Model

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dc.contributor.advisorGrand, James Aen_US
dc.contributor.authorSamuelson, Hannahen_US
dc.contributor.departmentPsychologyen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2018-01-23T06:31:20Z
dc.date.available2018-01-23T06:31:20Z
dc.date.issued2017en_US
dc.description.abstractThe motivational sciences in organizational psychology have recently focused on goal pursuit as a dynamic process, using computational modeling as a methodological tool. This has resulted in a detailed specification of certain components of the goal-pursuit process, leaving others vague. The current research sheds light on one of these underspecified pieces, gain, through the development of the hierarchical multiple-goal pursuit model (HMGPM). The HMGPM proposes that gain, or a goal’s subjectively evaluated importance, is a function of the importance of higher-order goals to which it is connected in an individual’s goal network, and the strength of those connections. Through computational modeling and simulation, the HMGPM is shown to produce theoretically-plausible patterns of goal choice, replicate previous empirical findings, and advance new topics of future research. The usefulness of the HMGPM as a theory-building tool that integrates organizational and social psychological perspectives of motivation is discussed.en_US
dc.identifierhttps://doi.org/10.13016/M29K45V3J
dc.identifier.urihttp://hdl.handle.net/1903/20269
dc.language.isoenen_US
dc.subject.pqcontrolledPsychologyen_US
dc.subject.pquncontrolledcomputational modelingen_US
dc.subject.pquncontrolledgainen_US
dc.subject.pquncontrolledgoal systemsen_US
dc.subject.pquncontrolledmotivationen_US
dc.subject.pquncontrolledmultiple-goal pursuiten_US
dc.titleDerivation of Gain in a Hierarchical Multiple-Goal Pursuit Modelen_US
dc.typeThesisen_US

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