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Table 1.

Inhibitory functions and correspondence between different taxonomies about inhibitory processes.

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Table 2.

Task description.

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Table 2 Expand

Table 3.

Descriptives and task’s reliability (Cronbach’s α).

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Fig 1.

Model testing sequence.

CFI: robust comparative fit index; RMSEA: robust root mean square error of approximation; Response distractor: response distractor factor; Cognitive inhibition: cognitive inhibition factor; Speed: processing speed factor; Inhibition: inhibition factor; WMC: WMC factor; Stroop neutral: response time for neutral condition of Stroop task; flanker: response time/accuracy for incompatible condition of flanker task; local-global: response time/accuracy for incompatible condition of local-global task; DN (receptive attention): accuracy; go-no-go: accuracy no go trials; Stroop: response time/accuracy for incompatible condition of the Stroop task; stop-signal: SSRT stop signal reaction time; Intrus.: number of words incorrectly recalled in the updating WM task; negative priming: response time/accuracy for the ignored condition of the negative priming task; Reading span: Reading Span for Reading span task; counting span: counting span for counting span task.

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Fig 2.

WMC-speed-inhibition model.

Dashed-gray lines indicate non-significant factor loadings (p > 0.05). Speed: processing speed factor; inhibition: inhibition factor; Working memory: WMC factor: reading span task and counting span tasks.; speed factor: Stroop neutral: response time for neutral condition of Stroop task; inhibition factor: flanker: response time/accuracy for incompatible condition of flanker task; local-global: response time/accuracy for incompatible condition of local-global task; DN (receptive attention): accuracy; go no-go: accuracy no go trials; Stroop: response time/accuracy for incompatible condition of the Stroop task; stop-signal: SSRT stop signal reaction time; intrus.: number of words incorrectly recalled in the updating WM task; negative priming: response time/accuracy for the ignored condition of the negative priming task.

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Table 4.

Goodness-of-fit of the tested models.

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Table 4 Expand

Table 5.

Model testing sequence for examining the role of processing speed and WMC across age groups.

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Table 5 Expand