Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Figure 1.

Three possible critical period effects.

The graphs are based on based on Figure 2 in [9].

More »

Figure 1 Expand

Figure 2.

Illustration of the difference between correlation coefficients and slopes.

Relationships on the same row were generated by the same underlying function ( and , respectively) but are characterised by different correlation coefficients ( and , respectively). The inverse is true for relationships in the same column.

More »

Figure 2 Expand

Table 1.

Descriptive statistics for the extracted data for the North America and Israel studies.

More »

Table 1 Expand

Table 2.

Correlation coefficients for the relationship between AOA and GJT based on the extracted data for the North America and Israel studies.

More »

Table 2 Expand

Figure 3.

Scatterplot of the AOA–GJT relationship in the North America study.

The trend line is a non-parametric scatterplot smoother. The scatterplot itself is a near-perfect replication of DK et al.'s Fig. 1.

More »

Figure 3 Expand

Figure 4.

Scatterplot of the AOA–GJT relationship in the Israel study.

The trend line is a non-parametric scatterplot smoother. The scatterplot itself is a near-perfect replication of DK et al.'s Fig. 5.

More »

Figure 4 Expand

Table 3.

Linear regression models containing no breakpoints.

More »

Table 3 Expand

Figure 5.

Regression lines for the North America data.

Solid: regression with breakpoint at aoa 18 (dashed lines represent its 95% confidence interval); dot-dash: regression without breakpoint.

More »

Figure 5 Expand

Figure 6.

Regression lines for the Israel data.

Solid: regression with breakpoint at aoa 18 (dashed lines represent its 95% confidence interval); dot-dash (hardly visible due to near-complete overlap): regression without breakpoint.

More »

Figure 6 Expand

Table 4.

Linear regression models containing breakpoints at AOA 18.

More »

Table 4 Expand

Figure 7.

Deviances for regression models assuming breakpoints as a function of the position of the breakpoints.

More »

Figure 7 Expand

Figure 8.

Regression lines for the North America data.

Solid: regression with breakpoint at aoa 16 (dashed lines represent its 95% confidence interval); dot-dash: regression without breakpoint.

More »

Figure 8 Expand

Figure 9.

Regression lines for the Israel data.

Solid: regression with breakpoint at aoa 6 (dashed lines represent its 95% confidence interval); dot-dash (hardly visible due to near-complete overlap): regression without breakpoint.

More »

Figure 9 Expand

Table 5.

Regression model for the North America data without a breakpoint at AOA 16.

More »

Table 5 Expand

Table 6.

Regression model for the North America data with a breakpoint at AOA 16.

More »

Table 6 Expand

Table 7.

Regression model for the Israel data without a breakpoint at AOA 6.

More »

Table 7 Expand

Table 8.

Regression model for the Israel data with a breakpoint at AOA 6.

More »

Table 8 Expand

Table 9.

Partial correlation coefficients for the relationship between AOA and GJT with AAT controlled for.

More »

Table 9 Expand

Table 10.

Correlation coefficients for the relationship between aptitude and GJT.

More »

Table 10 Expand