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dc.contributor.advisorFrancis, David J.
dc.creatorKulesz, Paulina A.
dc.date.accessioned2016-02-14T04:24:38Z
dc.date.available2016-02-14T04:24:38Z
dc.date.createdAugust 2012
dc.date.issued2012-08
dc.identifier.urihttp://hdl.handle.net/10657/1158
dc.description.abstractLimited research findings regarding structure-function relations in the domain of attention may stem from problems in estimating these relations in small samples combined with data distributions that do not conform to the assumptions of the statistics used to estimate the relations. We examined the utility of using alternative statistics to estimate those relations. One hundred eleven children (82 spina bifida, 29 normal controls) were included to estimate behavior-behavior relations, and 61 children (43 spina bifida, 18 normal controls) were included to estimate structure-function relations. We used the Pearson’s Correlation and four robust correlations: the Percentage Bend Correlation, the Winsorized Correlation, the Skipped Correlation using the Donoho-Gasko Median, and the Skipped Correlation using Minimum Volume Ellipsoid Estimator to investigate behavior-behavior and structure-function relations in the domain of attention. A bootstrap sampling process was used to compare performance of the five estimators in this field context. The results of the study suggest that utilization of robust methods to estimate structure-function and behavior-behavior relations can assist investigators when confronted with small samples and multivariate non-normal data. Furthermore, the similarity of estimates across correlational methods suggests that the lack of structure-function relations found in the literature is not easily attributed to violations of distributional assumptions.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.subjectspina bifida
dc.subjectattention
dc.subjectoutliers
dc.subjectrobust correlations
dc.titleRELATIONS BETWEEN ATTENTIONAL STRUCTURE AND ATTENTIONAL FUNCTION: UTILIZATION OF ALTERNATIVE STATISTICAL APPROACHES
dc.date.updated2016-02-14T04:24:38Z
dc.type.genreThesis
thesis.degree.nameMaster of Arts
thesis.degree.levelMasters
thesis.degree.disciplinePsychology
thesis.degree.grantorUniversity of Houston
thesis.degree.departmentPsychology
dc.contributor.committeeMemberTian, T. Siva
dc.contributor.committeeMemberFletcher, Jack M.
dc.type.dcmiText
dc.format.digitalOriginborn digital
dc.description.departmentPsychology
thesis.degree.collegeCollege of Liberal Arts and Social Sciences


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