Time to the doctorate: Multilevel discrete-time hazard analysis

被引:17
|
作者
Wao, Hesborn O. [1 ]
机构
[1] Univ S Florida, Coll Arts & Sci, Alliance Appl Res Educ & Anthropol AAREA, Tampa, FL 33620 USA
关键词
Doctoral persistence; Event history model; Hierarchical linear modeling; PhD completion; Retention; Time-to-degree; DEGREE PROGRESS; STUDENTS; MODELS; COMPLETION; VARIABLES;
D O I
10.1007/s11092-010-9099-6
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Secondary data on 1,028 graduate students nested within 24 programs and admitted into either a Ph. D. or Ed. D. program between 1990 and 2006 at an American public university were used to illustrate the benefits of employing multilevel discrete-time hazard analysis in understanding the timing of doctorate completion in Education and the factors related to this timing. While no single factor was found that explains conclusively the timing of doctorate completion, this analytic technique, which takes into account the clustering of students within programs and includes information about students who do not graduate by the end of the observation period (censored cases), revealed that the median time-to-doctorate was 5.8 years, with the fifth and seventh years as periods students were most likely to complete the doctorate. A student's master's GPA at admission, the proportion of female students in the program, and the mean GRE quantitative score in the program were each positively associated with the odds of doctorate award whereas the size of the department housing the program had a negative association. Implications for research and practice are discussed.
引用
收藏
页码:227 / 247
页数:21
相关论文
共 50 条
  • [1] Time to the doctorate: Multilevel discrete-time hazard analysis
    Hesborn O. Wao
    Educational Assessment, Evaluation and Accountability, 2010, 22 : 227 - 247
  • [2] Poverty Dynamics in Europe A Multilevel Recurrent Discrete-Time Hazard Analysis
    Callens, Marc
    Croux, Christophe
    INTERNATIONAL SOCIOLOGY, 2009, 24 (03) : 368 - 396
  • [3] Discrete-Time Survival Analysis Incorporating Time Structure in Developmental Research
    Lee, Sooyong
    Lee, Kahyun
    Lee, Kejin
    STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2024,
  • [4] Discrete-time TASEP with holdback
    Shneer, Seva
    Stolyar, Alexander
    STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2021, 131 : 201 - 235
  • [5] Analysis, Estimation, and Validation of Discrete-Time Epidemic Processes
    Pare, Philip E.
    Liu, Ji
    Beck, Carolyn L.
    Kirwan, Barret E.
    Basar, Tamer
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2020, 28 (01) : 79 - 93
  • [6] Discrete-Time Spread Processes: Analysis, Identification, and Validation
    Pare, Philip E.
    Kirwan, Barrett E.
    Liu, Ji
    Basar, Tamer
    Beck, Carolyn L.
    2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 404 - 409
  • [7] ANALYSIS OF DISCRETE-TIME SPACE PRIORITY QUEUE WITH FUZZY THRESHOLD
    Wang, Yung Chung
    Wang, Jenn Shing
    Tsai, Fu Hsiang
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2009, 5 (03) : 467 - 479
  • [8] A performance analysis of discrete-time tandem queues with Markovian sources
    Song, X.
    Ali, M. Mehmet
    PERFORMANCE EVALUATION, 2009, 66 (9-10) : 524 - 543
  • [9] The Consequences of Varying Measurement Occasions in Discrete-Time Survival Analysis
    Moerbeek, Mirjam
    Hesen, Lieke
    METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, 2018, 14 (02) : 45 - 55
  • [10] Inhomogeneous discrete-time exclusion processes
    Crampe, N.
    Mallick, K.
    Ragoucy, E.
    Vanicat, M.
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2015, 48 (48)