Ezlmm

Scaled residuals:
Min 1Q Median 3Q Max
-3.1132 -0.6741 -0.1180 0.5169 4.1417

Random effects:
Groups Name Variance Std.Dev.
sub (Intercept) 0.04199 0.2049
word (Intercept) 0.01825 0.1351
Residual 0.08884 0.2981
Number of obs: 2776, groups: sub, 63; word, 24

Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.309e+00 3.823e-02 5.787e+01 34.256 <2e-16
Tsyl 5.384e-02 5.633e-02 2.185e+01 0.956 0.3496
Tconsistency 2.267e-03 1.135e-02 2.685e+03 0.200 0.8417
Texp_type 1.003e-01 5.293e-02 6.085e+01 1.895 0.0628
Tsyl:Tconsistency 1.774e-02 2.270e-02 2.685e+03 0.781 0.4348
Tsyl:Texp_type 9.061e-03 2.272e-02 2.686e+03 0.399 0.6901
Tconsistency:Texp_type -1.999e-03 2.270e-02 2.685e+03 -0.088 0.9299

Scaled residuals:
Min 1Q Median 3Q Max
-2.7237 -0.6693 -0.1462 0.5763 4.3779

Random effects:
Groups Name Variance Std.Dev.
sub (Intercept) 0.05002 0.2236
word (Intercept) 0.01182 0.1087
Residual 0.09727 0.3119
Number of obs: 1896, groups: sub, 63; word, 24

Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.383e+00 3.691e-02 7.104e+01 37.454 < 2e-16
Tsyl 1.612e-01 4.745e-02 2.287e+01 3.396 0.00249
Tconsistency 7.588e-03 1.444e-02 1.808e+03 0.525 0.59946
Texp_type 1.001e-01 5.834e-02 6.034e+01 1.716 0.09138
Tsyl:Tconsistency -1.612e-02 2.890e-02 1.808e+03 -0.558 0.57705
Tsyl:Texp_type 8.805e-02 2.907e-02 1.812e+03 3.029 0.00249
Tconsistency:Texp_type 3.843e-02 2.888e-02 1.807e+03 1.331 0.18346

Last formula is ifcorr ~ Tconsistency * Tsyl * Texp_type + (1 + Texp_type:Tsyl | sub) + (1 | word)
It is True




structure(list(optimizer = "bobyqa", restart_edge = TRUE, boundary.tol = 1e-05,
calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(
check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop",
check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop",
check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols",
check.scaleX = "warning", check.formula.LHS = "stop"),
checkConv = list(check.conv.grad = list(action = "warning",
tol = 0.002, relTol = NULL), check.conv.singular = list(
action = "message", tol = 1e-04), check.conv.hess = list(
action = "warning", tol = 1e-06)), optCtrl = list()), class = c("lmerControl",
"merControl"))

---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Found good model
Main Effect ['Tsyl']
R[write to console]: NOTE: Results may be misleading due to involvement in interactions

contrast estimate SE df t.ratio p.value
(Tsyl-0.5) - Tsyl0.5 -0.161 0.0475 21.8 -3.394 0.0026

Results are averaged over the levels of: Tconsistency, Texp_type
Degrees-of-freedom method: kenward-roger

Last formula is rt ~ Tsyl * Tconsistency * Texp_type + (1 + Texp_type | sub) + (1 | word)


2-way Interaction ['Tsyl', 'Texp_type']
R[write to console]: NOTE: Results may be misleading due to involvement in interactions

---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Correlation of Fixed Effects:
(Intr) Tcnsst Tsyl Txp_ty Tcns:T Tcn:T_ Tsy:T_

(Intercept) ***
Tsyl **
Tconsistency
Texp_type .
Tsyl:Tconsistency
Tsyl:Texp_type **
Tconsistency:Texp_type
Tsyl:Tconsistency:Texp_type
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Correlation of Fixed Effects:
(Intr) Tsyl Tcnsst Txp_ty Tsyl:T Tsy:T_ Tcn:T_
Tsyl 0.017