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. Author manuscript; available in PMC: 2014 Aug 1.
Published in final edited form as: Brain Cogn. 2013 Jun 19;82(3):301–312. doi: 10.1016/j.bandc.2013.05.004

Table 6.

Initial model and first model to reach significance in backward regression analysis predicting MFT efficiency slope from ANT-R attention effects.

MFTE slope
Predictor B SE B β t r
Model with 12 predictors
AlertingE -0.12 0.11 -.26 -1.12 -.22
ValidityE -0.00 0.09 -.01 -0.03 .29
OrientingE 0.03 0.09 .08 0.31 .23
Flanker ConflictE 0.08 0.08 .34 1.11 .24
Location ConflictE -0.05 0.12 -.09 -0.43 -.03
Alerting by FlankerE -0.08 0.07 -.29 -1.17 -.10
Orienting by FlankerE -0.11 0.10 -.30 -1.11 .11
Validity by FlankerE 0.01 0.07 .05 0.21 .07
Flanker by LocationE 0.14 0.19 .16 0.73 .04
Alerting by LocationE -0.10 0.09 -.28 -1.17 -.22
Orienting by LocationE -0.09 0.08 -.26 -1.09 -.18
Validity by LocationE -0.08 0.07 -.26 -1.19 -.25
Model with 5 predictors
AlertingE -0.12 0.08 -0.26 -1.62 -.22
Flanker ConflictE 0.07 0.04 0.31 2.05* .24
Alerting by LocationE -0.10 0.06 -0.28 -1.64 -.22
Orienting by LocationE -0.09 0.06 -0.25 -1.35 -.18
Validity by LocationE -0.06 0.06 -0.19 -1.07 -.25
*

p < 0.05

Note: R2 for Model with 12 predictors = .34 (p > 0.05), R2 for Model with 5 predictors = .28 (p < 0.05).