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dc.contributor.authorMartin, Kathleen M.
dc.descriptionUniversity of Maryland, Baltimore. Doctor of Nursing Practice Scholarly Project
dc.description.abstractPurpose and Objective of Project: The purpose of this project was to identify factors associated with early attrition, with particular emphasis on factors associated with minority nursing students. A logistic regression model was used to determine the predictive power of a variety of student "pre-entry attributes" (Tinto, 1993). These characteristics are a sub-set of the model proposed by Vincent Tinto (1993), and are derived directly from the theoretical framework. Tinto's (1993) theory of college student departure, "A Longitudinal Model of Institutional Departure", guided this author's identification of variables which may affect nursing student retention. The theory of college student departure utilizes a longitudinal approach to the problem of college student departure. Tinto's model (1993) describes the interaction of student "pre-entry attributes" with student goals and commitments, institutional experiences and academic and social integration (p. 114). Several pre-entry attributes were analyzed to determine which of these characteristics, if any, place nursing students at an increased risk of attrition in the first year of a two-year nursing program. This study took place at Frederick Community College, an accredited, two-year institution located in Frederick, MD. If predictive attributes are identified they may be used by the Frederick Community College nursing administrators and faculty to improve the identification of students who are at increased risk of early departure from the nursing program. Early departure is defined as the failure or withdrawal failing from one of the three first-year nursing clinical courses. The attributes under investigation include student course-taking behaviors. Should certain coursetaking pattems be predictive of early departure from the nursing program, admission policies may be examined and modified to consider these conditions. Early identification of the "at risk" student has been posited as an important first step in reducing nursing student attrition (Campbell & Dickson, 1996; Symes, Tart, & Travis, 2005).
dc.description.tableofcontentsSection One: Introduction; Statement of Problem; Purpose and Objective of Project; Research Question; Theoretical Framework. Section Two: Review of Literature; Higher Education Literature; Nursing Literature; Conclusion. Section Three: Methodology. Section Four: Results; Discussion; Attainment of Personal Leadership Goals. References. Appendix A: Tinto's Longitudinal Model of Institutional Departure. Appendix B: Subset of Tinto's Model under Study. List of Tables: Table 1. Independent and Dependent Variables and Data Sources. Table 2. Characteristics of Sample. Table 3. Relationship between Student Characteristics and Failing a First-year Nursing Course. Table 4. Likelihood of Failing a First-year Nursing Course by Student Characteristicsen_US
dc.subjectdropouts researchen_US
dc.subjectstudent attritionen_US
dc.subjectdiversity in educationen_US
dc.subjectat-risk studentsen_US
dc.subjectpredictor variablesen_US
dc.subject.lcshTinto, Vincenten_US
dc.subject.meshEducation, Nursingen_US
dc.subject.meshStudents, Nursingen_US
dc.subject.meshLongitudinal Studiesen_US
dc.titlePredictors of the First-year Nursing Student at Risk of Early Departureen_US
dc.typeDNP Projecten_US
dc.description.urinameFull Texten_US

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