Time to the doctorate: Multilevel discrete-time hazard analysis

被引:18
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
[11]   Intrinsic noise and discrete-time processes [J].
Challenger, Joseph D. ;
Fanelli, Duccio ;
McKane, Alan J. .
PHYSICAL REVIEW E, 2013, 88 (04)
[12]   Stability Analysis for Discrete-Time Two-Dimensional Switched Systems [J].
Rongni Yang ;
Ligang Wu ;
Peng Shi .
2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, :1588-1593
[13]   A Discrete-Time Duration Analysis of Technology Disadoption: The Case of rbST in California [J].
An, Henry ;
Butler, Leslie J. .
CANADIAN JOURNAL OF AGRICULTURAL ECONOMICS-REVUE CANADIENNE D AGROECONOMIE, 2012, 60 (04) :495-515
[14]   Qualitative Analysis of General Discrete-Time Recurrent Neural Networks with Impulses [J].
Zhao, Xinquan .
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS, 2009, 5551 :128-137
[15]   On the Convergence of the Discrete-Time Homogeneous Markov Chain [J].
Kipouridis, I. ;
Tsaklidis, G. .
ADVANCES IN DATA ANALYSIS: THEORY AND APPLICATIONS TO RELIABILITY AND INFERENCE, DATA MINING, BIOINFORMATICS, LIFETIME DATA, AND NEURAL NETWORKS, 2010, :181-+
[16]   Virtual Sensors for Discrete-Time Nonlinear Systems [J].
Zhirabok, A. N. ;
Zuev, A. V. ;
Shumsky, A. E. .
MEASUREMENT TECHNIQUES, 2023, 66 (04) :231-236
[17]   Normal approximations for discrete-time occupancy processes [J].
Hodgkinson, Liam ;
McVinish, Ross ;
Pollett, Philip K. .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2020, 130 (10) :6414-6444
[18]   Scattering and Perturbation Theory for Discrete-Time Dynamics [J].
Bisio, Alessandro ;
Mosco, Nicola ;
Perinotti, Paolo .
PHYSICAL REVIEW LETTERS, 2021, 126 (25)
[19]   Virtual Sensors for Discrete-Time Nonlinear Systems [J].
A. N. Zhirabok ;
A. V. Zuev ;
A. E. Shumsky .
Measurement Techniques, 2023, 66 :231-236
[20]   Discrete-Time Leap Method For Stochastic Simulation [J].
Rohr, Christian .
FUNDAMENTA INFORMATICAE, 2018, 160 (1-2) :181-198