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dc.contributor.advisorSimpson, D. Dwayne
dc.contributor.advisorKnight Kevin
dc.contributor.authorPankow, Jennifer Ken_US
dc.date.accessioned2014-07-22T18:47:46Z
dc.date.available2014-07-22T18:47:46Z
dc.date.created2009en_US
dc.date.issued2009en_US
dc.identifierUMI thesisen_US
dc.identifieretd-11302009-112400en_US
dc.identifierumi-10089en_US
dc.identifiercat-001500288en_US
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/4178
dc.description.abstractIn therapeutic community models for drug treatment, individual recovery is principally structured around group meetings and positive peer influences. Research shows that asocial group members with resistant behaviors and attitudes have the potential to adversely impact the therapeutic group. To gain a better understanding of the asocial client's role in the larger treatment process, archival Texas Christian University data were used to (1) model and confirm a 2-factor solution of asociality consistent with the literature, and (2) examine the relationship between asocial clients and treatment engagement for validation of the 2-factor model. Exploratory analysis resulted in a 3-factor solution representing Behavioral Responsivity, Cognitive Distortion, and Social Disassociation dimensions. Nested ANOVA (i.e., clients nested within prison programs) demonstrated that asocial levels (low, medium, and high) predicted treatment engagement. Furthermore, comparison between asocial levels indicated that high asocial clients reported significantly lower engagement levels compared to low and medium asocial clientsen_US
dc.format.mediumFormat: Onlineen_US
dc.publisher[Fort Worth, Tex.] : Texas Christian University,en_US
dc.relation.ispartofTCU Master Thesisen_US
dc.relation.requiresMode of access: World Wide Web.en_US
dc.relation.requiresSystem requirements: Adobe Acrobat reader.en_US
dc.titleModeling asociality and examining engagement in adult offenders in substance abuse treatmenten_US
dc.typeTexten_US
etd.degree.departmentDepartment of Psychology
etd.degree.levelMaster
local.collegeCollege of Science and Engineering
local.departmentPsychology
local.academicunitDepartment of Psychology
dc.type.genreThesis
local.subjectareaPsychology
etd.degree.nameMaster of Science


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