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. 2023 May 30:1–23. Online ahead of print. doi: 10.3758/s13428-023-02140-2

Table 2.

Attention control task correlations

Task VA-color VA-conc. SACT Stroop DL Flanker DL AC WMC- complex WMC – running Gf PS
Antisaccade .41 .42 .35 .35 .08 (ns) .61 .39 .31 .27 .42
VA-color - .72 .35 .28 .12 .85 .60 .28 .48 .37
VA-conc. - .41 .36 .13 .92 .50 .30 .39 .32
SACT - .24 .09 (ns) .56 .22 .25 – .04 (ns) .30
Stroop DL - .11 .46 .25 .26 .18 .35
Flanker DL - .21 .03 (ns) .00 (ns) – .04 (ns) – .05 (ns)

VA = visual arrays; SACT = sustained attention-to-cue; DL = adaptive response deadline; AC = attention control; WMC = working memory capacity; Gf = fluid intelligence; PS = processing speed. Intercorrelations among the attention control measures along with correlations between each attention control task and the cognitive constructs included in the present study. The construct correlations are regression factor scores obtained from the same exploratory factor analysis shown in Table 4. For ease of interpretation, some correlations were multiplied by – 1 such that positive correlations reflect that better performance on one task was associated with better performance on the other task or construct. All correlations above were statistically significant at α = .05 unless noted as “ns