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dc.contributor.advisorKolenikov, Stanislaveng
dc.contributor.authorJahng, Seungmin, 1974-eng
dc.date.issued2008eng
dc.date.submitted2008 Falleng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on Feb. 18, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDr. Stanislav Kolenikov, Thesis Supervisoreng
dc.descriptionM.S. University of Missouri--Columbia 2008.eng
dc.description.abstractTemporal instability of a stochastic process has been of interest in many areas of behavioral and social science. Recent development in data collection techniques in behavioral and health sciences, such as Ecological Momentary Assessment (EMA) enables researchers in these areas to get direct assessment on temporal fluctuations over time for many individuals. Although many researchers have used variance and autocorrelation as a temporal instability measure, their utility and interpretation are limited to index temporal instability. I propose variance of successive difference (VSD) of stationary time series as an overall index of temporal instability such that it is a function of variance and first order autocorrelation of time series. A version of variance of successive difference of unequally spaced time series is also presented as well as distinction of within-day and between-day instability measures. Given that VSD is an individual difference measure, it is proposed that group differences on these indices be explored using a mixed variance model proposed by Hedeker et al. (2008). To illustrate, we present EMA data from a study of negative mood in borderline personality disorder (BPD) and major depressive disorder (MDD) patients, resulting that BPD patients showed more negative affective instability than MDD patients.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.format.extentvi, 41 pageseng
dc.identifier.oclc535510427eng
dc.identifier.urihttps://hdl.handle.net/10355/6279
dc.identifier.urihttps://doi.org/10.32469/10355/6279eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2008 Theseseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subject.lcshSocial sciences -- Statistical methodseng
dc.subject.lcshBorderline personality disorder -- Statisticseng
dc.subject.lcshAffective disorders -- Statisticseng
dc.titleA mixed model for variance of successive difference of stationary time series : modeling temporal instability in intensive longitudinal dataeng
dc.typeThesiseng
thesis.degree.disciplineStatistics (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.A.eng


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