Table A1.

Task	Reliability	Task	Reliability
Data Set 1		Data Set 2
SymSpan	.80	SymSpan	.80
OSpan	.63	OSpan	.73
RotSpan	.80	RotSpan	.83
VA-orient-S	.75	VA-orient-S	.74
Antisaccade	.92	Antisaccade	.91
Flanker	.69	Flanker	.83
Stroop	.72	Stroop	.75
Data Set 3		Data Set 4
SymSpan	.84	SymSpan	.84
OSpan	.86	OSpan	.85
RotSpan	.87	RunLetter	.81
RunSpatial	.84	RunDigit	.88
RunDigit	.90	VA-color	.78
VA-color	.84	VA-orient	.74
VA-orient	.73	VA-color-S	.54
VA-orient-S	.79	VA-orient-S	.70
Antisaccade	.81	Antisaccade	.85
Flanker	.66	Flanker	.81
Stroop	.60	Stroop	.92

Note. VA = visual arrays. Reliabilities for Data Sets 3 and 4 are based on values reported in (Shipstead et al., 2014, 2015). The following methods were used to calculate reliabilities for Data Sets 1 and 2. For SymSpan, OSpan, and RotSpan, the total number of items recalled in the correct serial position on each trial was used to calculate cronbach’s α as an estimate of reliability. For the VA-orient-S task, within each set size (five and seven), half of the trials (even/odd split) were used to calculate k scores resulting in a total of four k score; even and odd k scores for each set size. The k scores from each set size were averaged to obtain two split-half k scores for the task to calculate a split-half reliability with a spearman-brown correction as an estimate of reliability. For the antisaccade task, accuracy on each trial was used to calculate a Cronbach’s α as an estimate of reliability. For the flanker and Stroop tasks, within each condition (congruent and incongruent), half of the trials (even/odd split) were used to calculate mean reaction time per condition. A difference score (incongruent – congruent) was calculated for even and odd trials resulting in two interference effects that were used to calculate a split-half reliability with a spearman-brown correction as an estimate of reliability.