Table 5.
Sex limitation model fitting results.
| Measure | Model | − 2LL | df | (Δ − 2LL) | p-Value | AIC | BIC |
|---|---|---|---|---|---|---|---|
| Number Sense accuracy | Full Sex-Limitation model | 10,791.89 | 3839 | – | – | 3113.89 | − 9898.58 |
| Common.Eff. (Qualit. diff.) | 10,793.70 | 3840 | 1.81 | .18 | 3113.70 | − 9901.66 | |
| Scalar.Eff. (Quantit. diff.) | 10,792.21 | 3842 | .32 | 1.0 | 3108.21 | − 9910.37 | |
| Null Model | 10,794.07 | 3843 | 2.18 | .70 | 3108.07 | − 9913.43 | |
| Weber Fraction | Full Sex-Limitation model | 9533.15 | 3761 | – | – | 2011.15 | − 20,434.40 |
| Common.Eff. (Qualit. diff.) | 9533.3 | 3762 | .154 | .70 | 2009.30 | − 20,442.21 | |
| Scalar.Eff. (Quantit. diff.) | 9533.79 | 3764 | .492 | .89 | 2005.79 | − 20,457.66 | |
| Null Model | 9533.99 | 3765 | .842 | .88 | 2003.99 | − 20,465.43 |
− 2LL = minus log-likelihood; df = degrees of freedom; Δ − 2LL = difference in likelihood; df = degrees of freedom; p-value = associated with the differences in likelihood ratio between each of the nested models and the Full Sex Limitation model. AIC = Akaike's Information Criterion; BIC = Bayesian Information Criterion. The models testing for qualitative and quantitative differences show no significant difference in fit compared to the full model (p-values non significant). The Null Model shows no significant difference in fit with the Full Sex-Limitation model suggesting no qualitative or quantitative differences, or variance differences between males and females in Number Sense Task accuracy scores and Weber Fraction. The bold font indicates the best fitting model.