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. Author manuscript; available in PMC: 2020 Dec 1.
Published in final edited form as: J Exp Psychol Gen. 2019 Mar 21;148(12):2104–2119. doi: 10.1037/xge0000589

Table 4.

Regression Analyses Involving Executive Functions, Vocabulary, and Nonverbal Cognitive Ability

Common
EF
Updating-/
WM-Specific
Shifting-
Specific
Vocabulary Nonverbal
Cognitive
Ability
R2

Age 17
General Fluency 0.32 0.32 -0.19 0.29 0.02 0.50
[.15, .49] [.14, .50] [−.34, −.04] [.14, .44] [−.09, .14]
Semantic-Specific −0.21 0.13 0.39 0.25 0.40 0.43
[−.43, .00] [−.09, .35] [.17, .60] [.08, .43] [.24, .57]
Age 56
General Fluency 0.29 0.23 - 0.34 −0.12 0.33
[.12, .46] [.13, .31] [.21, .46] [−.30, .06]
Semantic-Specific −0.01 −0.08 - 0.19 0.19 0.11
[−.27, .24] [−.22, .06] [.01, .38] [−.05, .42]

Note: Standardized regression coefficients and their 95% confidence intervals are reported. In these regression models, fluency factors were included as dependent variables with correlations among all independent variables (EF factors, vocabulary, nonverbal cognitive ability), except correlations among EF factors were fixed to zero by definition (e.g., Common EF and WM-Specific at age 56). Correlations among independent variables were identical to those from the correlational models (Table 3). All constructs were measured with latent variables except nonverbal cognitive ability in adolescents (i.e., WAIS performance IQ). Significant regression coefficients are displayed in bold (p < .05).

a

indicates Updating-Specific at age 17 but Working Memory-Specific at age 56.