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. 2013 Aug 21;18:10.3402/meo.v18i0.21194. doi: 10.3402/meo.v18i0.21194

Table 5.

Results of backward stepwise linear regression analyses of each factor, modeled^ as an outcome of MS2/T2

Factors Predictors β(sig) Model summary
How important are the following factors in considering your career in medicine?
Employment and job security Year and test 0.069 (0.111) R 2=0.021
Rural/urban (rural=1) −0.381 (0.010)** F=4.393 (0.013)
Idealism in medicine Year and test −0.081 (0.054) R 2=0.075
White/Caucasian −0.587 (<0.001)** F=16.970 (<0.001)
Attraction to medicine Year and test 0.018 (0.659)
White/Caucasian 0.431 (<0.001)** R 2=0.059
Gender 0.278 (0.003)** F=6.501 (<0.001)
Married −0.345 (0.029)*
Status and income Year and test 0.153 (<0.001)**
Gender −0.383 (<0.001)** R 2=0.082
Rural/urban 0.355 (0.013)* F=9.316 (<0.001)
Married −0.354 (0.027)*

How important are the following factors in considering your choice for a specialty?
Career and prestige Year and test 0.067 (0.121) R 2=0.033
Married −0.608 (<0.001)** F=7.156 (0.001)
Lifestyle and family Year and test 0.098 (0.023)* R 2=0.035
Gender 0.288 (0.003)** F=7.456 (0.001)
Idealism in specialty choice Year and test −0.066 (0.126) R 2=0.051
White/Caucasian −0.402 (<0.001)** F=7.342 (<0.001)
Gender 0.205 (0.040)*
Debt over content interest Year and test 0.009 (0.837) R 2=0.053
White/Caucasian −0.422 (<0.001)** F=7.644 (<0.001)
Married 0.405 (0.012)*

Attitudes toward primary care
Value of PC skills Year and test −0.055 (0.214) R 2=0.018
Gender 0.253 (0.013)* F=3.703 (0.025)
Considering PC career Year and test −0.063 (0.151) R 2=0.033
White/Caucasian −0.363 (0.001)** F=4.642 (0.003)
Rural/Urban 0.317 (0.043)*
Negative/antagonistic view of PC Year and test 0.122 (0.004)** R 2=0.079
White/Caucasian −0.422 (<0.001)** F=11.765 (<0.001)
Rural/Urban −0.349 (0.019)*
Negative/sympathetic view of PC Year and test 0.126 (0.004)** R 2=0.040
Married 0.396 (0.017)* F=8.672 (<0.001)
*

Significant at the 0.05 level

**

significant at the 0.01 level.

^

Controlling for race (White=1), ethnicity (Hispanic=1), rural or urban (1/0) origin, gender (female=1), marital status (married=1). Predictors displayed are those left in the final model produced by backward stepwise entry of covariates.