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A Competing Risks Survival Analysis of High School Dropout and Graduation : = A Two-Stage Model Specification Approach.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A Competing Risks Survival Analysis of High School Dropout and Graduation :/
其他題名:	A Two-Stage Model Specification Approach.
作者:	Yang, Fan.
面頁冊數:	1 online resource (140 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.
標題:	Educational tests & measurements. -
電子資源:	click for full text (PQDT)
ISBN:	9780355108453

A Competing Risks Survival Analysis of High School Dropout and Graduation : = A Two-Stage Model Specification Approach.
Yang, Fan.

A Competing Risks Survival Analysis of High School Dropout and Graduation :A Two-Stage Model Specification Approach. - 1 online resource (140 pages)

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.

Thesis (Ph.D.)--The University of Iowa, 2017.

Includes bibliographical references

There has been a wealth of research conducted on the high school dropouts spanning several decades. It is estimated that compared with those who complete high school, the average high school dropout costs the economy approximately $250,000 more over his or her lifetime in terms of lower tax contributions, higher reliance on Medicaid and Medicare, higher rates of criminal activity, and higher reliance on welfare (Levin & Belfield, 2007). The nation suffers not only because of the loss in revenue but also as a result of the education level of the population. Individuals who choose to drop out of high school are less likely to be in the labor force than adults who earned a high school credential, and they fare worse in many aspects of life.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355108453Subjects--Topical Terms:

1180442
Educational tests & measurements.
Index Terms--Genre/Form:

554714
Electronic books.

A Competing Risks Survival Analysis of High School Dropout and Graduation : = A Two-Stage Model Specification Approach.
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500 $a Source: Dissertation Abstracts International, Volume: 78-12(E), Section: A.
500 $a Adviser: Stephen B. Dunbar.
502 $a Thesis (Ph.D.)--The University of Iowa, 2017.
504 $a Includes bibliographical references
520 $a There has been a wealth of research conducted on the high school dropouts spanning several decades. It is estimated that compared with those who complete high school, the average high school dropout costs the economy approximately $250,000 more over his or her lifetime in terms of lower tax contributions, higher reliance on Medicaid and Medicare, higher rates of criminal activity, and higher reliance on welfare (Levin & Belfield, 2007). The nation suffers not only because of the loss in revenue but also as a result of the education level of the population. Individuals who choose to drop out of high school are less likely to be in the labor force than adults who earned a high school credential, and they fare worse in many aspects of life.
520 $a In many studies on high school dropouts, an important challenge is how to determine an appropriate structural form for a statistical model to be used in making inferences and predictions. Many useful statistical modeling for survival analysis have been developed to study the competing risks frame of probability of dropping out and the probability of graduating; however, few methods exist for establishing the actual competing risks structural form of a model when the data contains two educational milestones -- drop out and graduation.
520 $a In this dissertation, we first utilized the data collected from the National Education Longitudinal Study (NELS: 88/2000) and proposed a discrete time competing risks hazard model and the corresponding model selection process to study the contributions of student's academic ability, family background, school characteristics and vocational education to the probabilities of students graduating from or dropping out of high school. This model finds a way to overcome the shortcomings of the traditional models existing in the previous research.
520 $a Within educational research, missing data is very common occurrence and can easily complicate the model selection problem. Handling missing data inappropriately can lead to bias and inaccurate inferences. This dissertation applies four missing data techniques to the key attributes including listwise deletion, dummy variable adjustment, mean imputation, and multiple imputation. Recommendations were offered for future endeavors and research in finding solutions to handle missing data in educational research.
520 $a Finally, we outline the implementation of the proposed methodology. This research has the potential for both theoretical merit and implications for affecting educational policy. My dissertation adds to the limited body of literature of quantitative studies of the high school dropouts. A discrete time competing risks hazard model for predicting the probability of dropping out could become part of a powerful tool to identify students at risk of dropping out.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Educational tests & measurements. $3 1180442
655 7 $a Electronic books. $2 local $3 554714
690 $a 0288
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of Iowa. $b Psychological and Quantitative Foundations. $3 1189325
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