Table 2.
Model # | Model | LL | χ2 | df | p | MLR Scaling Factor | RMSEA, p close [90% CI] | CFI | SRMR | AIC | BIC |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Unidimensional: L | −1896.52 | 135.05 | 26 | <.001 | 1.0434 | 0.161, p < .001 [.135–.189] | 0.74 | 0.13 | 3849.03 | 3935.31 |
2 | 2 factors: Syn + Sem | −1895.67 | 133.43 | 25 | <.001 | 1.0434 | 0.164, p < .001 [.137–.192] | 0.75 | 0.13 | 3849.34 | 3938.70 |
3 | 2 factors: Exp + Rec | −1895.40 | 138.36 | 25 | <.001 | 1.0023 | 0.168, p < .001 [.141–.196] | 0.73 | 0.13 | 3848.80 | 3938.16 |
4 | 2 factors: S + E | −1852.88 | 55.09 | 25 | .001 | 0.9737 | 0.086, p = .029 [.055–.117] | 0.93 | 0.07 | 3763.76 | 3853.12 |
5 | 4 factors: SSx + SSm + ESx + ESm | −1842.86 | 35.95 | 20 | .016 | 0.9346 | 0.070, p = .171 [.030–.107] | 0.96 | 0.06 | 3753.72 | 3858.49 |
6 | 3 factors: S + ESx + ESm | −1848.60 | 48.37 | 23 | .002 | 0.9322 | 0.083, p = .051 [.050–.115] | 0.94 | 0.06 | 3759.20 | 3854.73 |
Note. LL = log likelihood; RMSEA = root-mean-square error of approximation; CI = confidence interval; CFI = comparative fit index; SRMR = standardized root-mean-square residual; AIC = Akaike’s information criteria; L = language general factor with all indicators; Syn = Syntax; Sem = Semantics; Exp = Expressive; Rec = Receptive; S = Spanish; E = English; ESx = English syntax; ESm = English semantics; SSx = Spanish syntax; SSm = Spanish semantics.