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. Author manuscript; available in PMC: 2023 Jun 1.
Published in final edited form as: J Am Acad Child Adolesc Psychiatry. 2022 Jan 22;61(6):796–808.e2. doi: 10.1016/j.jaac.2021.11.033

Table 2:

Descriptive Statistics and Missing Data

n (% missing)a Mechanisms of missingness M SD Skewness SE Kurtosis SE

BRIEF - Parent
EC 139 (5.44) Non-compliance, experimenter error 56.21 14.66 0.49 0.21 −0.67 0.41
BRI 139 (5.44) 57.79 15.71 0.57 0.21 −0.49 0.41
MI 139 (5.44) 57.01 12.36 0.17 0.21 −0.67 0.41
GEC 139 (5.44) 57.97 13.97 0.30 0.21 0.71 0.41
BRIEF - Youth
EC 135 (8.16) Non-compliance, experimenter error 51.94 11.80 0.62 0.21 −0.29 0.41
BRI 136 (7.48) 50.54 12.41 0.40 0.21 −0.53 0.41
MI 136 (7.48) 50.42 11.57 0.26 0.21 −0.67 0.41
GEC 136 (7.48) 50.54 12.33 0.30 0.21 −0.61 0.41
D-KEFS
VS 139 (5.44) Non-compliance, experimenter error 10.34 2.93 −0.92 0.21 0.93 0.41
NS 139 (5.44) 10.53 3.17 −1.38 0.21 1.63 0.41
LS 139 (5.44) 10.22 3.46 −1.40 0.21 1.54 0.41
N-LS 138 (6.12) 9.24 3.68 −1.03 0.21 0.42 0.41
TAS 137 (6.80) 10.45 3.35 −1.55 0.21 3.28 0.41
Stop Signal Task
SSRT 123 (16.32) Non-compliance, invalid responding 247.58 117.11 0.97 0.22 −0.46 0.41
Self-Reported Frustration (Go/No-Go)
Baseline 260 (3.35) 2.02 0.97 1.03 0.15 0.95 0.30
Frustration 259 (3.72) Non-compliance 3.28 1.27 −0.11 0.15 −1.08 0.30
Recovery 258 (4.09) 1.93 1.03 1.25 0.15 1.31 0.30
% Accuracy (Go/No-Go)
Baseline 245 (8.92) Non-compliance, technological malfunction 67.95 6.85 −2.19 0.16 10.63 0.31
Frustration 245 (8.92) 56.97 4.80 −0.16 0.16 2.49 0.31
Recovery 243 (9.67) 69.22 6.56 −1.14 0.16 6.38 0.31
RSA (Go/No-Go)
Baseline 227 (15.61) Non-compliance, technological malfunction, excessive movement 75.13 39.13 1.30 0.16 2.56 0.32
Frustration 224 (16.73) 76.87 41.58 1.73 0.16 4.60 0.32
Recovery 225 (16.35) 73.70 41.58 1.67 0.16 3.64 0.32
PEP (Go/No-Go)
Baseline 226 (15.99) Non-compliance, technological malfunction, excessive movement 53.91 31.04 0.34 0.16 <-0.01 0.32
Frustration 224 (16.73) 56.02 34.29 0.84 0.16 2.89 0.32
Recovery 222 (17.47) 54.88 30.26 0.13 0.16 −0.64 0.33
a

These missing data were treated as missing at random and estimated in MPlus using Maximum Likelihood model.