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5 CHANGES IN TTD
Pages 69-78

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From page 69...
... An F test indicates that all of the estimating equations are statistically significant except for agricultural sciences.l4 Differences do exist in the amount of variation in TTD explained by the equations, the standard error of the estimates, and the number of statistically significant independent variables. In six fields (chemistry, math, engineering, biosciences, psychology, and social sciences)
From page 70...
... TABLE 5.1: Surnrnary of Common Linear Model Regression Results for UD, by Variable Variable Fields Statistically Correlation Significant (+/-) Female Social Sciences yes Age Chemistry yes Mathematics yes Biosciences yes Health Sciences yes Psychology yes Social Sciences yes Federal Support no + + + + + + Teaching Assistantship Psychology yes Research Assistantship Earth, Atmospheric, yes & Marine Sciences Psychology yes Baccalaureate from Foreign no Institution Baccalaureate from Category I Chemistry yes Research School Psychology yes Graduate Degree from no Category I Research School Number of Faculty no Salary Ratio: New Ph.D.s Chemistry yes to Ph.D.s 10 yrs after Degree Earth, Atmospheric, yes & Marine Sciences Unemployment Rate Chemistry yes of College-Educated Per-Capita Doctorates in United States Chemistry Engmeenng yes Biosciences yes Psychology yes yes 70
From page 71...
... Regression analysis is used to determine which variables in each field make a statistically significant contribution to Tow. Table 5.3 (pp.
From page 72...
... Female Biosciences yes Age Federal Support Chemistry yes Physics tic Astronomy yes Mathematics yes Biosciences yes Health Sciences yes Psychology Social Sciences Teaching Assistantship Psychology Research Assistantship Baccalaureate from Foreign Institution Baccalaureate from Category I Chemistry 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 Per-Capita Doctorates in United States yes yes no yes no no yes no Chemistry yes Biosciences yes no no Physics Bt Astronomy yes Earth, Atmospheric, yes tic Marine Sciences Biosciences yes 72
From page 73...
... If the goal is to determine whether financial aid causes students to remain in graduate school longer, RTD may provide a more accurate picture of student responsiveness. Likewise, if the goal is to examine the impact of institutional environment, RTD is the better variable.
From page 74...
... + increased 11D by 4.5 years, Sciences Undergraduate Degree - suggesting the importance of in Same Field having doctoral candidates in this field entering graduate school at a young age. Engineering Age + A one-year increase in age Percent Population + lengthened 11D by 1.5 with Doctorates years.
From page 75...
... after Degree Fed Support Economics Age Baccalaureate from Category I Research School Salary Ratio: New Ph.D.s to Ph.D.s Social Sciences + 10 yrs. after Degree Percent Population with Doctorates Age Temp.
From page 76...
... O O O O 0 2 SEPIA 0 1 0 1 3 0 SUPRA 1 1 0 ' O 0 1 FORBACC 0 0 0 0 O 1 BCARN1ST 0 2 0 1 1 3 PCARN1ST 0 0 0 0 1 0 FACULTY 0 0 0 2 0 0 SALRAT1 1 1 0 1 2 0 UNEMP4YR 0 1 0 1 0 0 PERPOP 0 4 0 3 0 0 MARRIED TEMP DEPEND SAMEFLD TUmON SDRSAL10 SEEK 1 0 lo O 1 0 0 3 1 0 1 1 1 NOTES: (1) "Pos" indicates a positive regression coefficient.
From page 77...
... Total time to the doctorate can be modeled and such models explain much of the variation in the data in a time-series context. Age is the most consistent statistically significant variable, has a large impact on HID, and explains the largest amount of variation in the data.


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