Table 6.

Mean and Regression Coefficients for Normative Data Calculation.

	M ± SD	Intercept	β (age)	β (sex)	β (race/ethnicity)	β (education)	RMSE
BFLT Total Learning (Trials 1–5)	135 ± 31	223.7	−1.79***	12.78**	−10.30	2.26*	27.25
BFLT Distractor Trial	11.7 ± 5.8	21.6	−0.21***	2.09*	1.68	0.23	5.49
BFLT Short Delay Free Recall	31.2 ± 8.1	59.9	−0.46***	1.26	−4.75**	0.30	7.26
BFLT Long Delay Free Recall	32.5 ± 7.6	54.4	−0.40***	1.11	−3.59*	0.45	6.96
BFLT Recognition Discrimination	0.82 ± 0.15	0.9	−0.004**	0.03	−0.08*	0.01**	0.14
BFLT Proactive Interference	−2.71 ± 5.7	2.7	−0.03	0.13	1.98	−0.22	5.63
BFLT Retroactive Interference	−3.3 ± 4.4	3.5	−0.04	−1.59	−1.55	−0.18	4.31

Note. RMSE = root mean square error; BFLT = Biber Figure Learning Test.

^*p < .05.

^**p < .01.

^***p < .001.