Table 5.
ANOVA statistics for network connectivity analyses
Networks | df | F | MSE | Follow-up analyses |
Syntactic complexity × capacity | Correlation: WM capacity and (complex–simple) | |||
Control (within) | 1, 24 | 4.28 | 0.036 | r = 0.44** |
Control-LH language | 1, 24 | 4.39 | 0.037 | r = 0.44** |
Load × syntactic complexity | Complex–simple in 3 WM Load Conditions | |||
LH language–memory | 2, 23 | 3.45 | 0.022 | t = 1.67* (no), t = −0.58 (low), t = −0.65 (high) |
Load × syntactic complexity × capacity | Correlation: WM and (complex–simple) by Load | |||
LH language–memory | 2, 23 | 7.17 | 0.022 | r = −0.14 (no), r = 0.55** (low), r = 0.27 (high) |
LH-RH language | 2, 23 | 3.81 | 0.022 | r = −0.10 (no), r = 0.50** (low), r = 0.35* (high) |
RH language–memory | 2, 23 | 4.04 | 0.021 | r = −0.16 (no), r = 0.48** (low), r = 0.34* (high) |
RH language (within) | 2, 23 | 4.14 | 0.03 | r = 0.06 (no), r = 0.53** (low), r = 0.33* (high) |
Note: Probabilities for follow-up: *P < 0.10, **P < 0.05. df, degrees of freedom.