Browsing by Subject "Hierarchical linear modeling (HLM)"
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Item Employees’ information-seeking behaviors in multicultural contexts : development of an advanced model including information overload, team-level factors, and cultural backgrounds(2011-05) Cho, Jaehee Kyle, 1976-; Ballard, Dawna I.; Stephens, Keri; Streeck, J�; Strover, Sharon; Gossett, LorilThe primary goal of the current study is to develop a more advanced model of information-seeking behaviors. For achieving this goal, it paid attention to two social phenomena characterizing contemporary society: informationalization and globalization. First, focusing on these two influential phenomena, this study investigated how individual-level factors—information overload, information ambiguity, and goal orientations—affected information-seeking behaviors among employees in a multinational corporation. Next, in addition to these individual predictors of information-seeking behaviors, this study explored the effects of two team-level factors—team task interdependence and team tenure—on the relationships between the main predictors and information-seeking behaviors. Last, paying more attention to the multicultural context, this study investigated how these employees in a multinational corporation seek task and feedback information from two culturally different sources: American direct advisors and Korean expatriates. In order to more thoroughly investigate the roles of the cultural backgrounds of information sources, this study explored how American employees perceived the cultural backgrounds of the two culturally different sources and how such perceptions influenced those employees’ information-seeking behaviors.Item An examination of the mentoring strategies and match quality indices that effect both a child’s change in social competency and a mentor’s sense of sufficiency(2010-05) Collins, Sarah Margaret, 1977-; Borich, Gary D.; Pituch, Keenan A.; Dodd, Barbara G.; Emmer, Edmund T.; Rehnborg, Sarah JaneMuch of the recent literature in mentoring centers on the effectiveness of volunteers who donate their time to relationships with children in need of a positive adult role model (DuBois & Karcher, 2005). Because mentors generally take on a great deal of responsibility with youth who are often at-risk either personally or academically (Commonwealth Fund, 1998; McLearn, Colasanto & Schoen, 1998; McLearn et al., 1999), researchers want to identify those variables and practices that increase the chance of a successful and beneficial relationship (Nakkula & Harris, 2005). This study examined the benefits of adult-child mentoring and looked for connections between the mentees’ growth in social competence and the relationship length, match quality, and specific mentoring strategies employed. The mentors’ perceptions of sufficiency about the match, the mentee’s additional resources, and their own abilities were also examined. A survey was distributed electronically to 890 Austin, Texas mentors about their relationships, and a separate school level survey was distributed to the 90 mentor contacts located in each school that utilizes mentors. School demographic data was also collected from the Texas Education Agency. The results indicate that longer and more high-quality matches, an increased importance placed on getting the mentee to care more about others, and spending more time with the mentee’s teachers all predict higher levels of growth in specific social competencies. The strength of the match was also a positive predictor of the mentors’ sense of sufficiency about themselves and about the impact of mentoring with their mentee. The results suggest a need for increased training in the specific caring and teacher-involvement mentor strategies, and for more discussion with mentors about the importance of committing to long-term, high-quality matches.Item The Effectiveness of the Patient Navigator Program(2013-05) Wang, Yihua; Feng, Du; Mulsow, Miriam; Esperat, ChristinaTheory. The Transformation for Health (TFH) Framework aims to explore human health behavior transformation processes. It helped to formulate health disparity intervention strategies in multiple (i.e., individual, family, community, and society) levels. Program. The Patient Navigator Program (PNP) was a two-year community-based intervention program that was designed to improve health outcomes for medically underserved individuals who had chronic diseases, which was implemented in West Texas. Promoteres (i.e., certified community health workers, or, CHWs) delivered health education to participating patients through a family visitation program. The Transformation for Health Framework was an underlying theoretical framework for this program. Purpose. The purpose of this study was to evaluate the effectiveness of the Patient Navigator Program in improving individuals' behavioral and psychological outcomes across time. Method. The study sample included 139 patients who were enrolled in the Patient Navigator Program. Behavioral outcomes (i.e., self-care activities for diabetes) and psychological outcomes (i.e., self-efficacy for managing chronic disease, self-efficacy for diabetes, feeling of depression, general physical health condition, and general mental health condition) were measured using established survey questionnaires. Depression was measured by the 9-item Patient Health Questionnaire Depression Scale. Patients’ general physical and mental health conditions were measured by the 12-item Veteran Rand instrument. CHWs conducted self-reported surveys through personal interviews for each outcome measure once every three months. Results. By using the behavioral and psychological outcomes collected by CHWs, growth curve analyses were conducted through Hierarchical Linear Modeling (HLM). Significant improvements were found on self-efficacy for managing chronic diseases and self-care for foot but not for all study variables. Self-care for specific diet had a trend of improvement at the .10 level. Though not statistically significant, there was a consistent pattern of improvements in other behavioral and psychological outcome variables. Conclusions. The growth curve analysis through Hierarchical Linear Modeling (HLM) supported the effectiveness of the Patient Navigator Program in improving individuals' behavioral and psychological outcomes, which in turn, supported the program design and the effectiveness of using CHWs in health intervention programs. For future study, the effectiveness of the Patient Navigator Program in improving participants' clinical outcomes can be explored.