MIT Press

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.	t	P > \|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.	t	P > \|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.