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Individual Differences in Inhibitory Control: A latent Variable Analysis Cover

Individual Differences in Inhibitory Control: A latent Variable Analysis

Open Access
|Feb 2021

Figures & Tables

Table 1

Descriptive statistics for response times, error rates and IES for single conditions of the six inhibitory control tasks.

VARIABLEMSDRANGE
Response Times
      Stroop RTincon655.07119.96445.60 to 1033.06
      Stroop RTcon607.0295.78456.00 to 899.64
      Antisaccade RT457.87127.01239.85 to 1031.01
      Stop-signal RTgo641.9685.24471.20 to 893.03
      Flanker RTincom593.88105.57338.74 to 935.57
      Flanker RTno-noise552.6990.85339.15 to 862.20
      Shape-matching RTdis974.07209.74659.41 to 1700.01
      Shape-matching RTno-dis808.95121.84598.48 to 1253.49
      Word-naming RTdis388.7676.80288.56 to 727.25
      Word-naming RTno-dis363.5474.32263.64 to 697.33
Error Rates
      Stroop err%inc0.040.080.00 to 0.93
      Stroop err%con0.050.060.00 to 0.61
      Antisaccade err%0.160.130.00 to 0.66
      Stop-signal err%stop0.610.190.00 to 1.00
      Flanker err%incom0.080.110.00 to 0.50
      Flanker err%no-noise0.060.110.00 to 0.50
      Shape-matching err%dis0.060.100.00 to 0.88
      Shape-matching err%no-dis0.050.070.00 to 0.93
      Word-naming err%dis0.340.190.04 to 1.00
      Word-naming err%no-dis0.220.190.00 to 1.00
Inverse Efficiency Scores
      Stroop IESincon752.06967.26460.48 to 13872.47
      Stroop IEScon690.62803.10466.25 to 11576.93
      Flanker IESincom661.97214.50447.38 to 1871.15
      Flanker IESno-noise606.84198.21402.38 to 1724.41
      Shape-matching IESdis1091.97584.52740.63 to 7199.81
      Shape-matching IESno-dis886.55578.91619.58 to 8641.50
      Word-naming IESdis635.28365.03365.80 to 4751.04
      Word-naming IESno-dis485.92209.79323.24 to 2302.86

[i] Note: RT = reaction time; err% = error rate (in percent); IES = inverse efficiency score; incon = incongruent; con = congruent; incom = incompatible; dis = distractor; no-dis = no distractor trials. Given that the stop signal reaction time (SSRT) already accounts for speed and accuracy, no IES were computed.

Table 2

Descriptive statistics for the RT and IES outcome measures of the six inhibitory control tasks.

MEASUREMSDRANGESKEWKURTREL
RT
Response inhibition
      Antisaccade (%)14.3711.320 to 591.743.86.93
      Stroop effect (ms)47.5251.52–58 to 2230.700.24.61
      Stop-signal RT (ms)321.6242.57200 to 4370.30-0.08.64
Distractor Interference
      Flanker effect (ms)47.0638.72–69 to 1770.613.07.47
      Shape effect (ms)160.04113.02–11 to 6382.407.02.98
      Word effect (ms)25.2326.90–80 to 1360.593.22.31
IES
Response Inhibition
      Antisaccade (ms)570.3284.7292 to 26514.1423.05
      Stroop (ms)49.652.6–60 to 2010.67-0.06
      Stop-signal (SSRT)°321.642.6200 to 4370.30-0.08
Distractor Interference
      Flanker (ms)51.359.6–96 to 3190.932.78
      Shape-matching (ms)163.396.0–46 to 5291.191.69
      Word-naming (ms)131.191.3–132 to 4250.540.60

[i] Note: RT = reaction time; IES = inverse efficiency scores; % = percent incorrect; Skew = skewness; Kurt = excess kurtosis; Rel = reliability calculated as internal consistency by adjusting split-half correlations with the Spearman-Brown formula; °given that the stop signal reaction time (SSRT) already accounts for speed and accuracy, no IES were computed.

Table 3

Inter-correlations of reaction times and error rates for the six inhibitory control tasks.

Variable1234567891011
1 Stroop RT
2 Antisaccade RT.36***
3 Stop-signal RT.26***.21**
4 Flanker RT.61***.48***.29***
5 Shape-matching RT.61***.48***.18*.55***
6 Word-naming RT.18*.10.13°.16*.17*
7 Stroop err%.03–.123°–.18*–.13°–.13°–.02
8 Antisaccade err%.03.38***–.03.14*.13°–.02.18*
9 Stop-signal err%–.14°–.08–.90***–.17*–.04–.11.15*.09
10 Flanker err%–.19*–.07–.10–.15*–.15*–.06.21**.25**.13°
11 Shape-matching err%–.17*–.17*–.08–.16*–.20**.01.29***.19**.07.19**
12 Word-naming err%.12°.11–.13°.12°.16*–.39***.02.27***.16*.04.05

[i] Note: RT = mean reaction time; err% = error rate (in percent) in stop/distractor/incongruent trials; ° p < .10; * p < .05; ** p < .01; *** p < .001.

Table 4

Spearman correlations of the six inhibitory control tasks for RT scores and IES.

12345
RTaIESRTIESRTIESRTIESRTIES
1 Antisaccade
2 Stroop.07.11
3 Stop-signal.16*.19**.13.13
4 Flanker–.03–.02.03.10–.05–.11
5 Shape-matching.12.18*.29***.21**–.06–.08.14.06
6 Word-naming.00.18*.05.03–.07.13.05.11.01.11

[i] Note: RT indicates correlations between reaction time measures with the exception of a where error rates in percent in the antisaccade task were correlated with reaction time measures in the other tasks; IES indicates correlations between inverse efficiency scores. Correlations between RT and IES are not shown. * p < .05; ** p < .01; *** p < .001.

joc-4-1-150-g1.png
Figure 1

The two-factor model of inhibition-related functions using RT scores (A) and inverse efficiency scores (B), completely standardized solution. Numbers on the leftwards single-headed arrows are standardized factor loadings. Numbers on the rightwards smaller arrows depict error variances for each task, attributable to idiosyncratic task requirements and measurement error. The number on the curved double-headed arrow is the correlation between the latent variables. Bold-face type indicates significance at the .05 level.

Table 5

Fit statistics for the confirmatory factor analysis models.

Modeldfx2RMSEASRMRCFIAICNFI
Reaction time scores
      Null model1540.12***.094.090.00064.115.000
      Two factors unrelated926.48**.101.079.30462.476.340
      Two factors related812.65.055.053.81550.645.685
      One factor915.34.061.057.74851.340.618
Inverse efficiency scores
      Two factors unrelated919.71*.079.074.61955.707.543
      Two factors related811.62.049.049.87149.623.730
      One factor914.03.054.041.82150.030.674

[i] Note: Reasonable fit: Chi-squares not significant at the .05 level; lower values of root mean square error of approximation (RMSEA) with <.08 mediocre fit, <.05 good fit and <.01 excellent fit; lower values of standardized root-mean-square residual (SRMR) with <.08 fair fit, <.05 good fit; values above .95 for Bentler’s comparative fit index (CFI) for excellent fit; lower values of Akaike’s information criterion (AIC); values above .95 for the normed fit index (NFI) for good fit * p < .05.

Supplementary Table A1

Factor loadings and bootstrapped estimates for the respective models.

MODELSTANDARDIZED FACTOR LOADING°MEAN STANDARDIZED FACTOR LOADINGBIASSEp
Two factors, related (reaction time scores)
      Antisaccade ← response inhibition.239.238.000.18.046
      Stroop ← response inhibition.635.662.027.27.001
      Stop-signal ← response inhibition.112.138.025.14.583
      Eriksen flanker ← distractor interference.142.149.149.10.111
      Shape-matching ← distractor interference1.00.947.947.16<.001
      Word-naming ← distractor interference.038.036.036.13.619
One factor, 4 tasks (inverse efficiency scores)
      Antisaccade ← response distractor interference.417.417.000.16.001
      Stroop ← response distractor interference.394.382–.013.15.007
      Shape-matching ← response distractor interference.476.508.033.18.002
      Word-naming ← response distractor interference.212.214.002.13.044

[i] Note: ° without bootstrap; Bias: difference between original estimate and bootstrap mean estimate; bootstrap with N = 5000.

DOI: https://doi.org/10.5334/joc.150 | Journal eISSN: 2514-4820
Language: English
Submitted on: Oct 2, 2020
Accepted on: Jan 28, 2021
Published on: Feb 18, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Anne Gärtner, Alexander Strobel, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.