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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: Clin Psychol Sci. 2018 Nov 13;7(1):127–142. doi: 10.1177/2167702618805075

Table 2.

Latent Variable Correlations Between Executive Function and Anxiety/Depression Symptoms

1 2 3 Variance
Component
A. Phenotypic
1. Common EF 1
2. WM-Specific - 1
3. Trait Anxiety −.24 −.03 1
4. Depression Symptoms −.32 .03 .73
B. Genetic a2
1. Common EF 1 .72
2. WM-Specific - 1 .15
3. Trait Anxiety −.40 .39 1 .36
4. Depression Symptoms −.37 .46 .96 .18
C. Shared Environment c2
1. Common EF 1 .08
2. WM-Specific - 1 .55
3. Trait Anxiety −.64 .08 1 .05
4. Depression Symptoms −.72 −.21 .98 .12
D. Nonshared Environment e2
1. Common EF 1 .20
2. WM-Specific - 1 .30
3. Trait Anxiety −.02 −.17 1 .59
4. Depression Symptoms −.32 .07 .63 .69

Note: The final column displays the proportion of variation in each trait that is explained by genetic influences (a2), shared environmental influences (c2), or nonshared environmental influences (e2) in the Cholesky decomposition. Genetic/environmental influences differ slightly from those reported in the main text because they were derived from the Cholesky decomposition rather than the confirmatory model (Figure 2). Factor loadings on the EF latent variables are not shown, but were similar to those displayed in Figure 1. Common EF and WMSpecific were fixed to be uncorrelated. Significant correlations and genetic/environmental variance components are displayed in bold (p < .05).