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Table 2.

OLS regression on the possible drivers of FSS variation at the turn of the transfer of academics in the data set

  Coeff.Std Err.tP > |t|[95% Conf. Interval]
  _cons 0.587 0.193 3.04 0.003 0.207 0.967 
X1 Gender −0.165 0.189 −0.87 0.384 −0.537 0.207 
X2 Age: 41–46 −0.572 0.234 −2.44 0.015 −1.033 −0.111 
X3 Age: 47–53 −0.641 0.262 −2.44 0.015 −1.157 −0.124 
X4 Age: 54 or more −0.961 0.290 −3.31 0.001 −1.532 −0.390 
X5 Rank: Associate 0.370 0.223 1.66 0.098 −0.069 0.810 
X6 Rank: Full 0.694 0.277 2.5 0.013 0.149 1.239 
X7 FSS before the move −0.657 0.043 −15.46 0.000 −0.741 −0.574 
X8 FSS difference of the O/D groups 0.137 0.069 1.99 0.048 0.001 0.272 
X9 Career progress 0.201 0.211 0.95 0.341 −0.214 0.616 
  Coeff.Std Err.tP > |t|[95% Conf. Interval]
  _cons 0.587 0.193 3.04 0.003 0.207 0.967 
X1 Gender −0.165 0.189 −0.87 0.384 −0.537 0.207 
X2 Age: 41–46 −0.572 0.234 −2.44 0.015 −1.033 −0.111 
X3 Age: 47–53 −0.641 0.262 −2.44 0.015 −1.157 −0.124 
X4 Age: 54 or more −0.961 0.290 −3.31 0.001 −1.532 −0.390 
X5 Rank: Associate 0.370 0.223 1.66 0.098 −0.069 0.810 
X6 Rank: Full 0.694 0.277 2.5 0.013 0.149 1.239 
X7 FSS before the move −0.657 0.043 −15.46 0.000 −0.741 −0.574 
X8 FSS difference of the O/D groups 0.137 0.069 1.99 0.048 0.001 0.272 
X9 Career progress 0.201 0.211 0.95 0.341 −0.214 0.616 

Number of obs = 345; F(9, 335) = 28.96; Prob > F = 0.000; R-squared = 0.438; Adj R-squared = 0.423; Root MSE = 1.451.

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