Online-only Table 2 Descriptive statistics for performance indicators of the first test day.

From: A behavioural dataset for studying individual differences in language skills

Domain	Test	N	Mean (SD)	Range	Skewness ^a	Kurtosis ^a	Internal consistency	Retest reliability ^f	Errors (%)	Outliers (%)
Domain	Test	N	Mean (SD)	Range	Skewness ^a	Kurtosis ^a	Internal consistency	Retest reliability ^f	Errors (%)	S1	S2
Linguistic Knowledge	2. Peabody picture vocabulary test	112	56 (25)	0–95	−0.43	−0.79	0.96 ^b	0.91	—	—
	3. Spelling test	112	0.56 (0.18)	0.1–0.93	−0.43	−0.37	0.83 ^c	0.85	—	—
	4. Author recognition test	112	0.2 (0.12)	−0.03–0.6	0.62	0.47	0.93 ^c	0.95	—	—
	5. Idiom recognition test	112	0.76 (0.13)	0.4–1	−0.33	0.03	0.53 ^c	0.78	—	—
	6. Prescriptive grammar test	112	0.69 (0.13)	0.4–1	0.04	−0.65	0.74 ^c	0.86	—	—
General cognitive skills	8. Auditory simple RT test	112	Log: 2.35 (0.08) Raw: 235 (48)	Log: 2.2–2.65 Raw: 160–459	−1.36 ^d	3.1^d	0.9 ^de	0.59 ^d	—	0.85	1.21 ^d
	9. Auditory choice RT test	112	Log: 2.6 (0.09) Raw: 417 (100)	Log: 2.41–2.86 Raw: 263–799	−0.6 ^d	0.15 ^d	0.96 ^de	0.76 ^d	3.75	0.81	0.49 ^d
	10. Letter comparison test	107	Log: 3.02 (0.08) Raw: 1167 (251)	Log: 2.86–3.28 Raw: 748–2044	0.65 ^d	0.47 ^d	0.89 ^de	0.83 ^d	6.89	2.01	0.08 ^d
	11. Visual simple RT test	112	Log: 2.37 (0.05) Raw: 244 (33)	Log: 2.24–2.55 Raw: 179–358	−0.54 ^d	0.51 ^d	0.86 ^de	0.58 ^d	—	0.49	1.88 ^d
	12. Visual choice RT test	112	Log: 2.62 (0.07) Raw: 439 (90)	Log: 2.5–2.86 Raw: 321–822	0.88 ^d	0.73 ^d	0.95 ^de	0.78 ^d	4.13	0.19	0.49 ^d
	13.Digit span test forward 13. Digit span test backward	112 110	8 (2) 7 (2)	4–13 2–12	0.26 0.22	−0.74 −0.56	0.81 ^c 0.72 ^c	0.75 0.7	— —	— —
	14. Corsi block clicking test forward 14. Corsi block clicking test backward	111 108	8 (2) 7 (2)	3–12 3–12	−0.08 −0.04	0.25 −0.15	0.53 ^c 0.71 ^c	0.39 0.49	— —	— —
	15. Eriksen Flanker test	106	Log: 0.09 (0.03) Raw: 101 (56)	Log: −0.06–0.18 Raw: −110–324	−0.57	2.77	0.98 ^e	0.50	2.67	0.2	0.75 ^d
	16. Antisaccade test	111	0.89 (0.1)	0.4–1	−2.09	6.4	0.89 ^c	0.71	—	—
	17. Raven’s advanced progressive matrices test	112	0.55 (0.17)	0.14–0.89	−0.48	−0.33	0.87 ^c	0.87	—	—
Linguistic processing skills	18. Picture naming test	111	Log: 2.95 (0.06) Raw: 923 (120)	Log: 2.74–3.08 Raw: 604–1256	−0.28 ^d	0.76 ^d	0.88 ^de	0.69^d	6.45	0.03	0.73 ^d
	20. Antonym production	111	0.72 (0.1)	0.48–0.92	−0.28	−0.34	0.7 ^c	0.74	—	—
	21. Verbal fluency categories 21. Verbal fluency phonology	106 112	24 (5) 16 (4)	14–39 3–30	0.04 0.15	−0.18 0.55	— —	0.72 0.71	— —	— —
	22. Maximal speech rate	106	Log: 3.60 (0.09) Raw: 4028 (854)	Log: 3.39–3.82 Raw: 2458–6650	−0.24	−0.07	—	0.88	—	—
	23. One—minute test	111	90 (14)	56–116	−0.12	−0.57	0.46 ^c	0.79	—	—
	24. Klepel test	111	63 (12)	34–107	0.26	0.6	0.88 ^c	0.88	—	—
	25. Monitoring in noise in lists Non—word Word form Semantic	112 112 109	0.58 (0.17) 0.83 (0.12) 0.3 (0.19)	−0.3–0.85 0.25–1 −0.5–0.7	−2.11 −2.47 −1.02	7.87 9.98 2.48	— — —	0.59 0.49 0.53	— — —	— — —
	26. Rhyme judgment	109	Log: 2.89 (0.08) Raw: 817 (183)	Log: 2.72–3.12 Raw: 530–1435	−0.49 ^d	0.1 ^d	0.94 ^de	0.79 ^d	3.9	0.69	0.57 ^d
	27. Auditory Lexical decision	112	Log: 2.93 (0.05) Raw: 884 (115)	Log: 2.84–3.1 Raw: 693–1372	0.61 ^d	0.72 ^d	0.97 ^de	0.69 ^d	4.46	0.26	0.88 ^d
	28. Semantic categorization	109	Log: 2.92 (0.06) Raw: 861 (147)	Log: 2.8–3.12 Raw: 645–1454	−0.9 ^d	0.72 ^d	0.96 ^de	0.62 ^d	3.38	0.56	0.67 ^d
	Phrase and sentence generation 29. Phrases 29. Sentences	112 112	Log: 2.86 (0.07) Raw: 790 (137) 0.79 (0.19)	Log: 2.71–3.08 Raw: 539–1346 0.17–1.00	0.47 ^d −1.14	0.8 ^d 0.98	0.82 ^de 0.95 ^c	0.79 ^d 0.67	4.32 —	4.95 —	— —
	30. Spontaneous speech	112	—
	31. Gender cue activation during sentence comprehension	105	−588 (655)	−1674–940	0.45	−0.95	0.88 ^e	0.88	1.6	0.25	0.82
	32. Verb semantics activation during sentence comprehension	112	−742 (673)	−1701–1041	0.62	−0.72	0.86 ^e	0.76	0.96	0.65	0.68
	33. Monitoring in noise in sentences	112	0.09 (0.13)	−0.3–0.3	−0.67	0.16	—	0.3	—	—

Note. See Usage Notes section for missing values in column ‘N’.
The nature of the data in the different tests required the application of different tests of internal consistency (e.g. Guttman’s Lambda-2 coefficient, split-half correlation, ICC 2 coefficient).
Values in S1 and S2 columns indicate the percentage of trials replaced during Stage 1 (trimming) and Stage 2 (outlier replacement) in the pre-processing pipeline.
^aCalculated based on aggregated performance indicators.
^bInternal consistency was calculated as Guttman’s Lambda-2 coefficient.
^cInternal consistency was calculated by adjusting split-half (odd–even) correlations with the Spearman-Brown prophecy formula.
^dCalculated based on log-transformed values.
^eInternal consistency was calculated as intra-class correlation coefficient 2 using the ‘psychometric’ package⁵⁴in R⁵⁵.
^fTest-retest reliability was operationalized as two-tailed Pearson’s correlation between performance on test days 1 and 2.

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Online-only Table 2 Descriptive statistics for performance indicators of the first test day.

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