modelSad_TOTAL <- 'Correct ~ c1 * TOTAL
DurationFixation_Sad ~ a1 * TOTAL
Interference_Sad ~ a2 * TOTAL
Correct ~ b1 * DurationFixation_Sad
Correct ~ b2 * Interference_Sad
ab1 := a1*b1
ab2 := a2*b2
total1 := c1 + (a1*b1)
total2 := c1 + (a2*b2)'
Regressions:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
Correct ~
TOTAL (c1) -0.620 0.312 -1.984 0.047 -0.620 -0.177
DurationFixation_Sad ~
TOTAL (a1) 0.003 0.013 0.248 0.804 0.003 0.022
Interference_Sad ~
TOTAL (a2) 0.018 0.013 1.359 0.174 0.018 0.122
Correct ~
DurFix (b1) -2.589 2.155 -1.201 0.230 -2.589 -0.106
Interference (b2) 0.857 2.152 0.398 0.691 0.857 0.036
Variances:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
.Correct 561.793 71.930 7.810 0.000 561.793 0.957
.DurFix 0.991 0.127 7.810 0.000 0.991 0.999
.Interference 0.994 0.127 7.810 0.000 0.994 0.985
Defined Parameters:
Estimate Std.Err z-value P(>|z|) Std.lv Std.all
ab1 -0.008 0.034 -0.243 0.808 -0.008 -0.002
ab2 0.015 0.040 0.382 0.703 0.015 0.004
total1 -0.628 0.314 -2.000 0.046 -0.628 -0.179
total2 -0.604 0.310 -1.949 0.051 -0.604 -0.173
I first tested the total effect (path c) with lm() and correlations, but it was not significant. However, I continued.It appeared that path a and b are not significant, but now path c', the direct effect, was.