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4 THE RELATION BETWEEN THE FIVE VECTORS OF VARIABLES AND TTD AND ITS COMPONENTS: A COMPARISON OF ZERO-ORDER CORRELATIONS
Pages 45-68

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From page 45... ... The analysis discusses why the data are broken down by field and describes zeroorder correlations between select variables in the five vectors in the modelfamily background, student attributes, tuition and financial aid, institutional environment, and market (economic and social) forces and TTD and its components. Read the entire page →
From page 46... ... To develop a "proxy" measure of the skills that a given cohort possesses, we used a variable equal to the percentage of new doctorates in each cohort who attended a selective undergraduate institution, where the average incoming 1973-74 freshmen earned a combined SAT verbal and math score of 1,300 or higher. The assumption is that the larger the percentage of students from institutions of this type, the larger the overall ability level of the students in a given cohort. Read the entire page →
From page 47... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 48... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 49... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 50... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 51... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 52... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 53... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 54... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 55... ... * Denotes correlation is statistically significant at 1 percent level or greater. Read the entire page →
From page 56... ... ; Endicott Report data on baccalaureate salary starting in 1964 for chemistry, math, engineering, and the combined field of economics and finance; the Survey of Doctorate Recipients, the only source of doctorate salary data for all 11 fields (such data have been collected on a biennial basis since 1973; however, an instrumental variable was created based on Bureau of Labor Statistics' Weekly. Earnings data to provide even-year data and to project salaries back to 1964~; and baccalaureate salary data from the National Survey of Hospital and Medical School Salaries starting in 1964 for staff nurses, used as a proxy for health sciences. Read the entire page →
From page 57... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 58... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 59... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 60... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 61... ... ~ ~ r- ca cn c~ ._ O.~ - g ~ ~ ~ _ ,~,0 ~D ~ Om ~ ~D o - _ - ~ ~ �~ oo~ � o ,'t u, ~ ~ _ c, e) Read the entire page →
From page 62... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 63... ... * Denotes correlation is statistically significant at 1% level or greater. Read the entire page →
From page 64... ... * Chemistry 0.43 0.65 Physics/Astronomy 0.41 0.60 Ear~/Atmospheric/Marine Sciences 0.55 0.71 Mathematics/Computer Sciences 0.36 0.56 Engineering 0.40 0.5 8 Agricultural Sciences 0.72 0.85 Biosciences 0.64 0.80 Health Sciences 0.69 0.82 Psychology 0.81 0.88 Economics 0.70 0.82 Social Sciences 0.88 0.88 * Read the entire page →
From page 65... ... explains most of the adjusted variation in TTD in math, health sciences, and social sciences. The I vector (individual attributes) Read the entire page →
From page 66... ... These are zero-order correlation coefficients. Read the entire page →
From page 67... ... Other variables that were strongly and positively correlated with RTD in all fields were research assistantships, number of full-time faculty, level of federal R&D support, the overall unemployment rate, and the unemployment rate for college graduates. The signs were not always as predicted; for example, the relation between the unemployment variables and RTD was expected to be negative but turned out positive. Read the entire page →

From page 45...

... The analysis discusses why the data are broken down by field and describes zeroorder correlations between select variables in the five vectors in the modelfamily background, student attributes, tuition and financial aid, institutional environment, and market (economic and social) forces and TTD and its components.

4 THE RELATION BETWEEN THE FIVE VECTORS OF VARIABLES AND TTD AND ITS COMPONENTS: A COMPARISON OF ZERO-ORDER CORRELATIONS Pages 45-68

4 THE RELATION BETWEEN THE FIVE VECTORS OF VARIABLES AND TTD AND ITS COMPONENTS: A COMPARISON OF ZERO-ORDER CORRELATIONS
Pages 45-68