On Time to the Doctorate A Study of the Lengthening Time to Completion for Doctorates in Science and Engineering (1990) / Chapter Skim
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6 CHANGES IN REGISTERED TIME TO THE DOCTORATE, TIME PRIOR TO GRADUATE ENTRANCE, AND TIME NOT ENROLLED IN THE UNIVERSITY
6 CHANGES IN REGISTERED TIME TO THE DOCTORATE, TIME PRIOR TO GRADUATE ENTRANCE, AND TIME NOT ENROLLED IN THE UNIVERSITY
Pages 79-92
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From page 79... ...
In most cases, the signs of the statistically significant variables do not change, and the log linear model explains the variation in the data no better than the linear model does. RTD in the Unique Variables Model Table 6.3 (pp.
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From page 80... ...
after Degree Unemployment Rate of College-Educated Per Capita Doctorates in United States Chemistry Earth, Atmospheric, & Marine Sciences Social Sciences yes yes yes no 80
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From page 81... ...
yes Federal Support Biosciences yes Teaching Assistantship Research Assistantship Baccalaureate from Foreign Institution Baccalaureate from Category I Research School Graduate Degree from Category I Research School Number of Faculty Salary Ratio: New Ph.D.s to Ph.D.s 10 yrs. after Degree Unemployment Rate of College-Educated Biosciences yes no Social Sciences yes Agncultural Sciences yes Agncultural Sciences yes Earth, Aunosphenc, yes & Marine Sciences Biosciences yes no Earth, Atmospheric, yes dc Manne Sciences Per Capita Doctorates Earth, Atmosphenc, yes In United States & Marine Sciences + + + + Evaluation of the Results A number of observations can be made about Table 6.4 (p.
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From page 82... ...
A 1 percent increase in doctorates with degrees from r Iorelgn Institutions increases RTD by about a week. Physics and Marital Status - These three variables Astronomy Graduate Degree from - accounted for 91 percent of Category I Research variation in RTD.
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From page 83... ...
These three variables explained 95 percent of the variation in RTD. A 1 percent increase in those with baccalaureate from foreign institution lowered RTD by nearly a month.
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From page 84... ...
(2) Variables below the dotted line were not entered in the common variables models.
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From page 85... ...
In the log-linear model, gender was not significant in any field. In those equations where age is statistically significant, it tends to have a large impact on RTD, suggesting that as more older students enroll in doctoral programs, RTD will increase.
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From page 86... ...
TABLE 6.5: Summary of Common Linear Model Regression Results for TPGE, by Variable Variable Fielded Statistically Correlation Significant Female no Age Chemistry yes Mathematics yes Engineering yes Biosciences yes Health Sciences yes Social Sciences yes Federal Support no Teaching Assistantship Social Sciences yes Research Assistantship Chemistry Baccalaureate from Foreign Mathematics Institution Baccalaureate from Category I Research School Graduate Degree from Category I Research School Number of Faculty Salary Ratio: New Ph.D.s to Ph.D.s 10 yrs. after Degree Unemployment Rate of College-Educated Percent Population with Doctorates yes yes no no no Mathematics yes Mathematics yes Mathematics yes + + + + + ; + + NOTE: No variables were significant for the following fields: earth, atmospheric and marine sciences; agricultural sciences; and economics.
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From page 87... ...
Analysis of these issues may explain why fewer variables are statistically significant in the TPGE equations than in the RID equations. It's interesting to note that in math, biosciences, psychology, and social sciences, the equations explained better than 90 percent of the variation in the data.
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From page 88... ...
ngmeenng Biosciences Health Sciences Psychology Social Sciences Federal Support Teaching Assistantship Physics & Astronomy Research Assistantship Chemistry Baccalaureate from Foreign Mathematics Institution Baccalaureate from Category I Research School Graduate Degree from Category I Research School Number of Faculty no yes yes yes no no no yes yes + yes yes yes + + Salary Ratio: New Ph.D.s Physics & yes to Ph.D.s 10 yrs. after Degree Astronomy Unemployment Rate Physics dc yes + of College-Educated Astronomy Psychology yes + Mathematics yes Percent Population no with Doctorates NOTE: No variables were significant for the following fields: and marine sciences; agricultural sciences; and economics.
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From page 89... ...
Female Age Federal Support Teaching Assistantship Biosciences Research Assistantship Biosciences Baccalaureate from Foreign Biosciences Institution Baccalaureate from Category I Research School Graduate Degree from Biosciences Category I Research School Psychology Number of Faculty Salary Ratio: New Ph.D.s to Ph.D.s 10 yrs. after Degree Unemployment Rate of College-Educated Percent Population with Doctorates no no yes no yes yes Psychology yes yes yes no no no Biosciences yes Psychology yes Summary of the Findings The common variables model appears to be more effective for understanding changes in RTD than for interpreting changes in TPGE and TNEU.
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From page 90... ...
after Degree Unemployment Rate of College-Educated Percent Population with Doctorates yes no no Chemistry yes no no Biosciences yes NOTE: No variables were significant for the following fields: mathematics; engineering; and agricultural sciences. Only biosciences and economics had R2s greater than 90 percent.
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From page 91... ...
Interestingly, market variables explain time spent prior to entering graduate school while, for the most part, they are not statistically significant in He TNEU equations. Additional work is needed to understand the factors that cause changes in TPGE and TNEU.16 It is likely that institutional and psychological factors beyond those captured in this common variables model affect the decision to postpone entry to graduate school and/or to delay completion of the doctorate.
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