Summary
Dynamic Table -Long (and filtered)
Dynamic Table -Long (and collapsed and filtered)
Dynamic Table -Wide
Static Tables
- eas
- elsa
- hrs
- ilse
- lasa
- map
- nuage
- octo
- satsa
Forest Plots
Session Information

This report contains a searchable table, followed by publication-ready tables.

Summary

Notes

All available models are contained in the dynamic table, while only the ‘aehplus’ models are shown in the static tables.

Unanswered Questions

How should we handle entries that are entirely missing?
How should we handle entries containing null/NA results?

Answered Questions

Dynamic Table -Long (and filtered)

This table has a few filters on it already, so it won’t clog your computer with 117,600 rows. It’s only model_type=="aehplus" & subgroup=="female" & process_a=="gait".

Show entries

Search:

Growth Curve Model Solution --Long Format
	study_name	process_b	subject_count	value	process	coefficient	stat
			72 3510	-19.043 162.47
1	eas	trailsb	150	110.036	a	00	est
2	eas	categories	150	110.596	a	00	est
3	eas	fas	150	109.603	a	00	est
4	eas	information	130	109.787	a	00	est
5	eas	waisvocab	150	109.774	a	00	est
6	eas	bnt	150	111.421	a	00	est

Showing 1 to 6 of 3,136 entries

Previous1 2 3 4 5…523Next

Dynamic Table -Long (and collapsed and filtered)

This table collapses the multiple process estimates down to one. It’s a middleman for the table discussed here: https://github.com/IALSA/IALSA-2015-Portland/issues/134

This table has a few filters on it already, so it won’t clog your computer with 34832 rows. It’s only model_type=="aehplus" & subgroup=="female".

Dynamic Table -Wide

Intercept and slope have been condensed (so each cell has ‘est’, ‘se’, and ‘pval’) and placed side-by-side.

Show entries

Search:

Growth Curve Model Solution --Wide Format
	study name	process	subgroup	model type	n	species	intercept	slope

1	eas	block	female	a	563	intercept	20.62(0.81),p<.01	0.67(0.18),p<.01
2	eas	block	female	a	563	age	-0.18(0.09),p=.03	-0.03(0.02),p=.12
3	eas	block	female	a	563	education	--,p= ----	--,p= ----
4	eas	block	female	a	563	height	--,p= ----	--,p= ----
5	eas	block	female	a	563	smoking	--,p= ----	--,p= ----
6	eas	block	female	a	563	cardio	--,p= ----	--,p= ----

Showing 1 to 6 of 4,354 entries

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Static Tables

The ‘aehplus’ model (with covariates age, education, health, and others) is shown for each combination of

study,
process, and
gender.

eas

Process	Gender	$n$	species	intercept	slope
block	female	150	intercept	18.93(2.41), $p$ <.01	0.80(0.47), $p$ =.09
			age	-0.15(0.16), $p$ =.37	-0.04(0.03), $p$ =.15
			education	0.88(0.26), $p$ <.01	-0.07(0.05), $p$ =.17
			height	-0.01(0.11), $p$ =.91	-0.01(0.02), $p$ =.66
			smoking	1.53(1.44), $p$ =.29	-0.10(0.26), $p$ =.69
			cardio	-0.38(2.44), $p$ =.88	-0.07(0.73), $p$ =.93
			diabetes	-4.39(2.59), $p$ =.09	0.18(0.40), $p$ =.65
block	male	72	intercept	24.09(7.14), $p$ <.01	1.46(1.58), $p$ =.36
			age	0.25(0.45), $p$ =.57	-0.09(0.08), $p$ =.28
			education	0.58(0.53), $p$ =.28	-0.09(0.11), $p$ =.44
			height	0.04(0.22), $p$ =.85	-0.03(0.05), $p$ =.48
			smoking	-3.94(3.47), $p$ =.26	0.25(0.78), $p$ =.80
			cardio	0.32(4.47), $p$ =.93	0.22(1.57), $p$ =.89
			diabetes	-3.76(3.99), $p$ =.35	-0.42(1.11), $p$ =.71
bnt	female	150	intercept	10.80(0.66), $p$ <.01	-0.06(0.16), $p$ =.69
			age	-0.06(0.05), $p$ =.29	-0.01(0.01), $p$ =.52
			education	0.27(0.07), $p$ <.01	-0.00(0.02), $p$ =.90
			height	0.00(0.03), $p$ =.88	0.00(0.01), $p$ =.97
			smoking	0.45(0.24), $p$ =.07	0.01(0.11), $p$ =.91
			cardio	-0.82(0.50), $p$ =.11	0.20(0.19), $p$ =.27
			diabetes	-1.64(0.48), $p$ <.01	-0.03(0.12), $p$ =.79
bnt	male	72	intercept	11.09(1.92), $p$ <.01	0.19(0.43), $p$ =.64
			age	0.04(0.08), $p$ =.64	-0.03(0.02), $p$ =.28
			education	0.10(0.16), $p$ =.54	-0.00(0.03), $p$ =.88
			height	0.01(0.07), $p$ =.87	0.00(0.02), $p$ =.89
			smoking	0.91(0.94), $p$ =.34	-0.20(0.24), $p$ =.39
			cardio	-0.22(1.17), $p$ =.83	-0.02(0.61), $p$ =.97
			diabetes	-0.37(1.00), $p$ =.70	0.22(0.28), $p$ =.44
categories	female	150	intercept	38.58(2.78), $p$ <.01	-0.78(0.72), $p$ =.28
			age	-0.35(0.19), $p$ =.07	-0.03(0.04), $p$ =.48
			education	0.72(0.29), $p$ =.01	0.07(0.06), $p$ =.27
			height	-0.10(0.14), $p$ =.49	0.00(0.03), $p$ =.89
			smoking	0.78(1.34), $p$ =.56	0.08(0.39), $p$ =.84
			cardio	1.06(3.11), $p$ =.73	0.00(0.76), $p$ =.96
			diabetes	-5.08(2.30), $p$ =.03	0.01(0.66), $p$ =.95
categories	male	72	intercept	30.41(8.01), $p$ <.01	0.89(1.76), $p$ =.61
			age	-0.16(0.47), $p$ =.73	-0.06(0.08), $p$ =.51
			education	1.05(0.70), $p$ =.13	-0.11(0.15), $p$ =.46
			height	-0.11(0.20), $p$ =.59	-0.01(0.05), $p$ =.78
			smoking	3.64(4.95), $p$ =.46	-0.45(0.92), $p$ =.63
			cardio	-0.63(8.06), $p$ =.94	0.14(1.31), $p$ =.91
			diabetes	-1.02(3.98), $p$ =.80	0.28(0.84), $p$ =.74
digit_tot	female	150	intercept	13.64(0.93), $p$ <.01	0.24(0.19), $p$ =.19
			age	-0.07(0.07), $p$ =.30	-0.01(0.02), $p$ =.34
			education	0.28(0.09), $p$ <.01	-0.02(0.02), $p$ =.34
			height	0.03(0.05), $p$ =.57	-0.01(0.01), $p$ =.17
			smoking	0.41(0.52), $p$ =.43	-0.02(0.13), $p$ =.88
			cardio	-0.33(1.07), $p$ =.76	-0.11(0.30), $p$ =.72
			diabetes	-1.59(0.80), $p$ =.05	0.06(0.15), $p$ =.70
digit_tot	male	72	intercept	12.89(3.48), $p$ <.01	-0.10(0.59), $p$ =.88
			age	-0.02(0.16), $p$ =.90	0.01(0.04), $p$ =.79
			education	0.34(0.24), $p$ =.18	-0.00(0.04), $p$ =.95
			height	-0.14(0.08), $p$ =.08	0.01(0.02), $p$ =.66
			smoking	1.23(1.74), $p$ =.48	-0.16(0.25), $p$ =.53
			cardio	0.45(1.64), $p$ =.76	0.07(0.65), $p$ =.92
			diabetes	-1.18(1.71), $p$ =.50	0.00(0.45), $p$ =.99
fas	female	150	intercept	30.42(3.68), $p$ <.01	0.44(0.70), $p$ =.53
			age	-0.34(0.28), $p$ =.21	-0.06(0.04), $p$ =.09
			education	1.28(0.36), $p$ <.01	0.02(0.07), $p$ =.75
			height	-0.11(0.18), $p$ =.53	0.00(0.02), $p$ =.97
			smoking	2.92(1.59), $p$ =.06	-0.08(0.38), $p$ =.84
			cardio	-2.02(3.62), $p$ =.58	0.07(0.79), $p$ =.93
			diabetes	-7.09(2.74), $p$ =.01	0.48(0.54), $p$ =.37
fas	male	72	intercept	27.23(7.48), $p$ <.01	1.29(1.26), $p$ =.31
			age	-0.02(0.42), $p$ =.96	-0.01(0.08), $p$ =.89
			education	1.59(0.69), $p$ =.03	-0.14(0.13), $p$ =.27
			height	-0.33(0.38), $p$ =.39	0.00(0.07), $p$ =.99
			smoking	1.48(4.28), $p$ =.73	0.23(0.64), $p$ =.72
			cardio	0.95(7.87), $p$ =.90	-0.55(1.84), $p$ =.76
			diabetes	-6.25(5.25), $p$ =.23	0.06(0.92), $p$ =.95
gait	female	150	intercept	109.88(8.33), $p$ <.01	-3.29(2.60), $p$ =.16
			age	-1.56(0.51), $p$ <.01	-0.05(0.13), $p$ =.70
			education	0.40(0.82), $p$ =.63	0.09(0.27), $p$ =.72
			height	0.05(0.34), $p$ =.88	0.06(0.07), $p$ =.37
			smoking	3.05(4.04), $p$ =.45	-0.29(1.23), $p$ =.80
			cardio	-4.83(7.43), $p$ =.52	-0.00(2.18), $p$ =.96
			diabetes	-18.77(6.24), $p$ <.01	0.61(2.17), $p$ =.79
gait	male	72	intercept	106.26(13.87), $p$ <.01	-1.81(5.47), $p$ =.72
			age	-0.46(0.64), $p$ =.47	-0.11(0.22), $p$ =.61
			education	0.66(1.05), $p$ =.51	-0.27(0.31), $p$ =.37
			height	0.05(0.47), $p$ =.92	0.05(0.18), $p$ =.81
			smoking	-1.64(7.59), $p$ =.82	0.99(2.71), $p$ =.70
			cardio	-4.13(12.01), $p$ =.71	1.28(3.45), $p$ =.74
			diabetes	-4.96(9.20), $p$ =.59	0.17(3.49), $p$ =.95
grip	female	150	intercept	18.60(1.67), $p$ <.01	-2.35(0.47), $p$ <.01
			age	0.06(0.12), $p$ =.63	-0.06(0.03), $p$ =.05
			education	-0.14(0.15), $p$ =.35	0.10(0.04), $p$ =.02
			height	0.21(0.07), $p$ =.01	-0.01(0.02), $p$ =.75
			smoking	0.94(0.94), $p$ =.31	-0.00(0.30), $p$ =.96
			cardio	0.25(2.43), $p$ =.92	0.32(0.57), $p$ =.54
			diabetes	-2.13(1.60), $p$ =.19	0.19(0.38), $p$ =.64
grip	male	72	intercept	36.36(5.45), $p$ <.01	-2.39(1.47), $p$ =.10
			age	-0.53(0.29), $p$ =.07	-0.04(0.10), $p$ =.69
			education	-0.27(0.45), $p$ =.54	0.03(0.12), $p$ =.79
			height	0.21(0.20), $p$ =.30	0.00(0.06), $p$ =.97
			smoking	-0.17(3.31), $p$ =.96	0.39(0.97), $p$ =.69
			cardio	-0.42(3.47), $p$ =.91	0.77(1.20), $p$ =.51
			diabetes	-0.43(3.31), $p$ =.90	-0.44(1.08), $p$ =.68
information	female	137	intercept	13.16(2.05), $p$ <.01	0.27(0.59), $p$ =.65
			age	-0.13(0.14), $p$ =.33	0.01(0.04), $p$ =.87
			education	0.88(0.24), $p$ <.01	-0.04(0.06), $p$ =.52
			height	-0.01(0.08), $p$ =.87	0.01(0.03), $p$ =.85
			smoking	0.29(0.82), $p$ =.72	-0.01(0.36), $p$ =.99
			cardio	0.75(1.81), $p$ =.67	-0.26(0.35), $p$ =.46
			diabetes	-2.61(1.33), $p$ =.05	-0.26(0.52), $p$ =.62
information	male	71	intercept	17.84(3.82), $p$ <.01	-0.65(1.14), $p$ =.57
			age	-0.05(0.23), $p$ =.83	0.01(0.05), $p$ =.84
			education	0.67(0.33), $p$ =.04	0.04(0.12), $p$ =.74
			height	-0.04(0.18), $p$ =.84	0.01(0.05), $p$ =.91
			smoking	-0.22(1.81), $p$ =.90	0.13(0.51), $p$ =.79
			cardio	-1.23(2.67), $p$ =.64	-0.10(0.75), $p$ =.90
			diabetes	-1.40(2.55), $p$ =.58	-0.10(0.77), $p$ =.90
logic_tot	female	150	intercept	18.22(2.07), $p$ <.01	-0.06(0.44), $p$ =.90
			age	-0.12(0.13), $p$ =.32	-0.01(0.03), $p$ =.64
			education	0.71(0.22), $p$ <.01	0.01(0.04), $p$ =.80
			height	0.08(0.10), $p$ =.40	-0.00(0.02), $p$ =.82
			smoking	0.64(1.11), $p$ =.56	-0.02(0.30), $p$ =.94
			cardio	0.28(2.93), $p$ =.92	0.26(0.73), $p$ =.72
			diabetes	-1.13(1.90), $p$ =.55	-0.10(0.40), $p$ =.81
logic_tot	male	72	intercept	15.22(5.22), $p$ <.01	1.67(1.03), $p$ =.11
			age	-0.12(0.28), $p$ =.67	-0.08(0.06), $p$ =.20
			education	0.86(0.36), $p$ =.02	-0.13(0.07), $p$ =.08
			height	0.09(0.16), $p$ =.59	-0.02(0.04), $p$ =.64
			smoking	-0.08(3.18), $p$ =.98	-0.06(0.58), $p$ =.92
			cardio	1.32(2.78), $p$ =.63	-0.53(0.90), $p$ =.54
			diabetes	1.54(2.55), $p$ =.54	0.53(0.79), $p$ =.49
mmms	female	111	intercept	26.33(0.63), $p$ <.01	0.02(0.19), $p$ =.57
			age	-0.00(0.04), $p$ =.92	-0.00(0.01), $p$ =.59
			education	0.08(0.05), $p$ =.16	-0.00(0.01), $p$ =.72
			height	0.01(0.03), $p$ =.78	-0.00(0.01), $p$ =.72
			smoking	-0.00(0.33), $p$ =.49	0.03(0.09), $p$ =.74
			cardio	-0.02(0.48), $p$ =.84	-0.03(0.20), $p$ =.77
			diabetes	-0.14(0.41), $p$ =.73	0.03(0.11), $p$ =.81
mmms	male	72	intercept	26.68(0.80), $p$ <.01	-0.06(0.29), $p$ =.84
			age	-0.00(0.04), $p$ =.98	-0.00(0.02), $p$ =.86
			education	0.06(0.06), $p$ =.34	0.00(0.02), $p$ =.91
			height	0.00(0.03), $p$ =.96	-0.00(0.01), $p$ =.94
			smoking	-0.22(0.44), $p$ =.62	0.06(0.13), $p$ =.63
			cardio	0.06(0.65), $p$ =.92	-0.03(0.28), $p$ =.91
			diabetes	-0.09(0.46), $p$ =.84	0.03(0.16), $p$ =.86
pef	female	150	intercept	344.91(25.83), $p$ <.01	-28.63(6.97), $p$ <.01
			age	-4.28(1.83), $p$ =.02	0.16(0.49), $p$ =.74
			education	-2.12(2.75), $p$ =.44	0.71(0.76), $p$ =.35
			height	0.46(1.22), $p$ =.71	0.59(0.28), $p$ =.04
			smoking	-0.44(15.45), $p$ =.97	1.90(3.34), $p$ =.56
			cardio	-22.00(30.23), $p$ =.46	2.86(9.89), $p$ =.79
			diabetes	-26.19(25.44), $p$ =.30	-0.55(8.66), $p$ =.94
pef	male	72	intercept	449.94(90.97), $p$ <.01	-32.02(35.01), $p$ =.34
			age	-5.15(6.60), $p$ =.41	0.44(2.51), $p$ =.86
			education	4.99(7.95), $p$ =.52	0.32(2.16), $p$ =.88
			height	3.36(3.74), $p$ =.34	-0.19(1.35), $p$ =.89
			smoking	-29.25(70.39), $p$ =.68	3.78(20.02), $p$ =.83
			cardio	-23.91(78.80), $p$ =.74	-1.93(22.17), $p$ =.88
			diabetes	-12.45(63.78), $p$ =.85	-1.92(20.41), $p$ =.91
symbol	female	150	intercept	41.23(3.25), $p$ <.01	0.32(0.62), $p$ =.60
			age	-0.40(0.27), $p$ =.13	-0.05(0.03), $p$ =.09
			education	1.76(0.35), $p$ <.01	-0.05(0.07), $p$ =.49
			height	0.05(0.20), $p$ =.78	0.01(0.03), $p$ =.89
			smoking	2.34(2.19), $p$ =.28	0.03(0.40), $p$ =.93
			cardio	-5.04(6.40), $p$ =.42	0.05(0.77), $p$ =.93
			diabetes	-6.68(2.75), $p$ =.01	-0.27(0.52), $p$ =.63
symbol	male	72	intercept	40.18(10.26), $p$ <.01	0.66(2.24), $p$ =.79
			age	-0.12(0.37), $p$ =.74	-0.04(0.10), $p$ =.71
			education	1.30(0.75), $p$ =.08	-0.16(0.17), $p$ =.34
			height	0.12(0.33), $p$ =.73	0.00(0.08), $p$ =.98
			smoking	0.33(5.02), $p$ =.96	-0.04(0.96), $p$ =.91
			cardio	-4.75(6.17), $p$ =.44	0.56(1.61), $p$ =.73
			diabetes	-4.30(4.60), $p$ =.35	0.25(1.01), $p$ =.80
trailsb	female	150	intercept	162.47(19.41), $p$ <.01	3.44(5.71), $p$ =.49
			age	1.81(1.40), $p$ =.20	0.20(0.32), $p$ =.54
			education	-7.00(2.04), $p$ <.01	-0.25(0.60), $p$ =.63
			height	0.12(0.88), $p$ =.90	-0.01(0.22), $p$ =.97
			smoking	-11.49(8.30), $p$ =.17	-0.38(2.70), $p$ =.89
			cardio	26.91(19.19), $p$ =.16	-2.06(7.64), $p$ =.77
			diabetes	31.07(17.17), $p$ =.07	2.62(4.44), $p$ =.56
trailsb	male	72	intercept	154.66(49.68), $p$ <.01	2.76(11.68), $p$ =.80
			age	1.00(2.70), $p$ =.68	0.21(0.66), $p$ =.78
			education	-6.29(4.34), $p$ =.15	0.17(1.00), $p$ =.88
			height	-0.65(1.70), $p$ =.71	0.42(0.45), $p$ =.37
			smoking	-0.57(36.70), $p$ =.98	-2.20(9.20), $p$ =.81
			cardio	21.94(28.88), $p$ =.45	-8.71(9.83), $p$ =.38
			diabetes	3.99(21.89), $p$ =.85	3.47(7.24), $p$ =.63
waisvocab	female	150	intercept	34.86(3.23), $p$ <.01	0.29(0.73), $p$ =.70
			age	-0.15(0.28), $p$ =.59	-0.04(0.05), $p$ =.34
			education	1.85(0.33), $p$ <.01	0.01(0.07), $p$ =.91
			height	-0.06(0.16), $p$ =.72	0.01(0.03), $p$ =.67
			smoking	1.12(1.35), $p$ =.40	-0.02(0.37), $p$ =.96
			cardio	3.36(4.01), $p$ =.40	-0.64(1.04), $p$ =.53
			diabetes	-4.82(2.44), $p$ =.05	-0.16(0.51), $p$ =.76
waisvocab	male	72	intercept	33.97(6.42), $p$ <.01	1.53(2.15), $p$ =.48
			age	0.39(0.34), $p$ =.26	-0.09(0.10), $p$ =.37
			education	1.57(0.58), $p$ =.01	-0.07(0.19), $p$ =.69
			height	0.03(0.28), $p$ =.92	-0.03(0.08), $p$ =.74
			smoking	-1.52(3.76), $p$ =.69	0.11(0.85), $p$ =.89
			cardio	-3.77(6.76), $p$ =.58	-0.11(1.64), $p$ =.94
			diabetes	1.33(3.89), $p$ =.73	-0.45(0.93), $p$ =.61

elsa

Process	Gender	$n$	species	intercept	slope
fev	female	3,511	intercept	1.88(0.02), $p$ <.01	-0.02(0.00), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	0.10(0.02), $p$ <.01	0.00(0.00), $p$ =.65
			height	0.03(0.00), $p$ <.01	0.00(0.00), $p$ =.03
			smoking	-0.11(0.02), $p$ <.01	-0.00(0.00), $p$ =.46
			cardio	-0.11(0.03), $p$ <.01	0.00(0.00), $p$ =.50
			diabetes	-0.05(0.04), $p$ =.18	-0.00(0.01), $p$ =.53
fev	male	3,091	intercept	2.63(0.03), $p$ <.01	-0.02(0.00), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	0.20(0.03), $p$ <.01	-0.01(0.00), $p$ =.08
			height	0.03(0.00), $p$ <.01	0.00(0.00), $p$ =.93
			smoking	-0.21(0.03), $p$ <.01	0.00(0.00), $p$ =.35
			cardio	-0.20(0.04), $p$ <.01	0.00(0.00), $p$ =.57
			diabetes	-0.06(0.05), $p$ =.18	-0.02(0.01), $p$ =.01
fev100	female	3,511	intercept	188.50(1.68), $p$ <.01	-2.13(0.19), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	10.17(1.79), $p$ <.01	0.09(0.21), $p$ =.65
			height	2.76(0.15), $p$ <.01	-0.04(0.02), $p$ =.03
			smoking	-10.89(1.70), $p$ <.01	-0.15(0.20), $p$ =.46
			cardio	-11.18(3.09), $p$ <.01	0.31(0.46), $p$ =.50
			diabetes	-5.14(3.83), $p$ =.18	-0.35(0.56), $p$ =.53
fev100	male	3,091	intercept	262.62(3.21), $p$ <.01	-2.21(0.44), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	20.33(2.89), $p$ <.01	-0.64(0.36), $p$ =.08
			height	3.34(0.21), $p$ <.01	-0.00(0.02), $p$ =.93
			smoking	-21.05(2.83), $p$ <.01	0.32(0.34), $p$ =.35
			cardio	-19.51(3.86), $p$ <.01	0.28(0.49), $p$ =.57
			diabetes	-6.20(4.67), $p$ =.18	-1.60(0.63), $p$ =.01
fluency	female	3,510	intercept	17.64(0.18), $p$ <.01	-0.08(0.03), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	3.34(0.20), $p$ <.01	0.03(0.03), $p$ =.35
			height	0.10(0.02), $p$ <.01	-0.00(0.00), $p$ =.09
			smoking	-0.06(0.19), $p$ =.74	-0.04(0.03), $p$ =.13
			cardio	-0.23(0.35), $p$ =.52	-0.04(0.05), $p$ =.35
			diabetes	-0.62(0.50), $p$ =.22	-0.14(0.07), $p$ =.05
fluency	male	3,090	intercept	18.25(0.26), $p$ <.01	-0.07(0.04), $p$ =.06
			age	–, $p$ = —-	–, $p$ = —-
			education	2.76(0.22), $p$ <.01	-0.04(0.03), $p$ =.23
			height	0.08(0.02), $p$ <.01	0.00(0.00), $p$ =.06
			smoking	-0.18(0.23), $p$ =.45	-0.04(0.03), $p$ =.23
			cardio	-0.58(0.30), $p$ =.06	0.04(0.04), $p$ =.35
			diabetes	-0.12(0.40), $p$ =.77	-0.06(0.06), $p$ =.28
gait	female	3,510	intercept	0.83(0.01), $p$ <.01	-0.01(0.00), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	0.09(0.01), $p$ <.01	0.00(0.00), $p$ =.96
			height	0.01(0.00), $p$ <.01	0.00(0.00), $p$ =.13
			smoking	-0.03(0.01), $p$ <.01	0.00(0.00), $p$ =.92
			cardio	-0.08(0.02), $p$ <.01	-0.00(0.00), $p$ =.32
			diabetes	-0.13(0.02), $p$ <.01	0.00(0.00), $p$ =.64
gait	male	3,090	intercept	0.86(0.01), $p$ <.01	-0.01(0.00), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	0.11(0.01), $p$ <.01	0.00(0.00), $p$ =.25
			height	0.00(0.00), $p$ <.01	0.00(0.00), $p$ =.66
			smoking	-0.04(0.01), $p$ <.01	0.00(0.00), $p$ =.83
			cardio	-0.06(0.01), $p$ <.01	-0.00(0.00), $p$ =.71
			diabetes	-0.06(0.02), $p$ <.01	-0.00(0.00), $p$ =.78
grip	female	3,511	intercept	20.25(0.18), $p$ <.01	-0.29(0.02), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	0.99(0.19), $p$ <.01	-0.01(0.02), $p$ =.46
			height	0.21(0.01), $p$ <.01	-0.00(0.00), $p$ =.05
			smoking	-0.17(0.17), $p$ =.32	0.00(0.02), $p$ =.95
			cardio	-1.54(0.34), $p$ <.01	0.06(0.04), $p$ =.13
			diabetes	-1.42(0.40), $p$ <.01	0.00(0.04), $p$ =.91
grip	male	3,091	intercept	34.27(0.33), $p$ <.01	-0.45(0.04), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	1.26(0.30), $p$ <.01	-0.03(0.03), $p$ =.36
			height	0.29(0.02), $p$ <.01	0.00(0.00), $p$ =.55
			smoking	-0.38(0.29), $p$ =.20	-0.01(0.03), $p$ =.75
			cardio	-0.33(0.39), $p$ =.39	-0.13(0.04), $p$ <.01
			diabetes	-2.04(0.50), $p$ <.01	-0.16(0.05), $p$ <.01
word_de	female	3,511	intercept	3.89(0.06), $p$ <.01	-0.04(0.01), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	1.00(0.07), $p$ <.01	-0.00(0.01), $p$ =.56
			height	0.02(0.00), $p$ <.01	0.00(0.00), $p$ =.71
			smoking	-0.21(0.06), $p$ <.01	0.01(0.01), $p$ =.05
			cardio	-0.12(0.12), $p$ =.32	-0.01(0.01), $p$ =.55
			diabetes	-0.38(0.16), $p$ =.02	0.01(0.02), $p$ =.63
word_de	male	3,091	intercept	3.27(0.08), $p$ <.01	0.00(0.01), $p$ =.61
			age	–, $p$ = —-	–, $p$ = —-
			education	0.92(0.07), $p$ <.01	-0.01(0.01), $p$ =.18
			height	0.02(0.00), $p$ <.01	0.00(0.00), $p$ =.96
			smoking	0.02(0.07), $p$ =.71	-0.02(0.01), $p$ =.02
			cardio	-0.06(0.10), $p$ =.52	-0.03(0.01), $p$ =.03
			diabetes	-0.28(0.11), $p$ =.01	-0.01(0.02), $p$ =.40
word_im	female	3,511	intercept	5.29(0.05), $p$ <.01	-0.04(0.01), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	0.73(0.06), $p$ <.01	0.01(0.01), $p$ =.08
			height	0.01(0.00), $p$ =.05	0.00(0.00), $p$ =.26
			smoking	-0.04(0.05), $p$ =.49	-0.00(0.01), $p$ =.58
			cardio	-0.20(0.10), $p$ =.05	0.00(0.01), $p$ =.78
			diabetes	-0.33(0.14), $p$ =.02	0.01(0.02), $p$ =.57
word_im	male	3,091	intercept	4.87(0.07), $p$ <.01	-0.03(0.01), $p$ <.01
			age	–, $p$ = —-	–, $p$ = —-
			education	0.76(0.06), $p$ <.01	-0.00(0.01), $p$ =.95
			height	0.01(0.00), $p$ <.01	0.00(0.00), $p$ =.10
			smoking	-0.00(0.06), $p$ =.95	-0.02(0.01), $p$ =.04
			cardio	-0.16(0.09), $p$ =.07	-0.01(0.01), $p$ =.66
			diabetes	-0.10(0.10), $p$ =.32	-0.01(0.02), $p$ =.51

hrs

Process	Gender	$n$	species	intercept	slope
gait	female	370	intercept	0.79(0.02), $p$ <.01	-0.03(0.00), $p$ <.01
			age	-0.01(0.00), $p$ <.01	-0.00(0.00), $p$ <.01
			education	0.01(0.00), $p$ <.01	0.00(0.00), $p$ =.06
			height	0.16(0.19), $p$ =.38	-0.04(0.04), $p$ =.39
			smoking	-0.04(0.04), $p$ =.29	0.00(0.01), $p$ =.75
			cardio	-0.03(0.02), $p$ =.16	0.00(0.00), $p$ =.89
			diabetes	-0.06(0.03), $p$ =.02	0.00(0.01), $p$ =.99
gait	male	318	intercept	0.86(0.04), $p$ <.01	-0.02(0.01), $p$ =.02
			age	-0.01(0.00), $p$ <.01	-0.00(0.00), $p$ =.11
			education	0.01(0.00), $p$ =.03	0.00(0.00), $p$ =.15
			height	0.12(0.15), $p$ =.45	-0.02(0.05), $p$ =.72
			smoking	-0.06(0.05), $p$ =.18	0.02(0.01), $p$ =.04
			cardio	-0.01(0.02), $p$ =.55	-0.00(0.01), $p$ =.63
			diabetes	-0.07(0.03), $p$ =.02	-0.01(0.01), $p$ =.22
grip	female	641	intercept	23.63(0.89), $p$ <.01	-0.25(0.19), $p$ =.19
			age	-0.29(0.07), $p$ <.01	0.00(0.01), $p$ =.95
			education	0.22(0.18), $p$ =.23	-0.05(0.04), $p$ =.17
			height	9.90(6.14), $p$ =.11	1.83(1.28), $p$ =.15
			smoking	-1.99(1.07), $p$ =.06	0.11(0.22), $p$ =.62
			cardio	-1.77(0.74), $p$ =.02	-0.03(0.16), $p$ =.87
			diabetes	-1.13(0.70), $p$ =.10	0.03(0.15), $p$ =.83
grip	male	507	intercept	35.24(1.12), $p$ <.01	-0.56(0.23), $p$ =.02
			age	-0.51(0.05), $p$ <.01	-0.01(0.01), $p$ =.20
			education	0.01(0.14), $p$ =.95	-0.02(0.03), $p$ =.55
			height	25.64(4.96), $p$ <.01	-0.77(1.01), $p$ =.45
			smoking	1.06(2.86), $p$ =.71	-0.58(0.54), $p$ =.27
			cardio	0.23(0.89), $p$ =.80	-0.04(0.17), $p$ =.80
			diabetes	-2.04(0.80), $p$ =.01	-0.20(0.19), $p$ =.29
pef	female	715	intercept	256.75(6.16), $p$ <.01	-2.13(1.28), $p$ =.10
			age	-3.83(0.24), $p$ <.01	-0.26(0.04), $p$ <.01
			education	4.31(0.90), $p$ <.01	-0.07(0.19), $p$ =.73
			height	100.52(45.84), $p$ =.03	4.95(7.14), $p$ =.49
			smoking	-47.12(8.79), $p$ <.01	0.68(1.68), $p$ =.68
			cardio	-9.67(6.63), $p$ =.15	-0.59(1.26), $p$ =.64
			diabetes	7.60(7.00), $p$ =.28	-1.39(1.27), $p$ =.28
pef	male	535	intercept	339.33(14.46), $p$ <.01	-5.79(2.66), $p$ =.03
			age	-4.54(0.48), $p$ <.01	-0.33(0.08), $p$ <.01
			education	7.08(1.41), $p$ <.01	-0.01(0.27), $p$ =.96
			height	198.80(63.02), $p$ <.01	13.86(9.88), $p$ =.16
			smoking	-56.14(15.15), $p$ <.01	-0.22(2.10), $p$ =.92
			cardio	2.28(10.49), $p$ =.83	-3.68(1.61), $p$ =.02
			diabetes	-3.58(12.00), $p$ =.76	-1.13(2.11), $p$ =.59
serial7	female	641	intercept	2.24(0.15), $p$ <.01	-0.07(0.02), $p$ <.01
			age	-0.00(0.01), $p$ =.58	-0.01(0.00), $p$ <.01
			education	0.23(0.02), $p$ <.01	-0.01(0.00), $p$ <.01
			height	0.93(0.97), $p$ =.40	0.17(0.13), $p$ =.17
			smoking	0.34(0.18), $p$ =.08	-0.10(0.03), $p$ <.01
			cardio	-0.21(0.16), $p$ =.15	-0.03(0.02), $p$ =.26
			diabetes	0.20(0.17), $p$ =.22	-0.04(0.03), $p$ =.15
serial7	male	507	intercept	3.14(0.22), $p$ <.01	-0.18(0.04), $p$ <.01
			age	0.01(0.01), $p$ =.12	-0.01(0.00), $p$ <.01
			education	0.15(0.02), $p$ <.01	-0.00(0.00), $p$ =.11
			height	0.68(0.85), $p$ =.51	0.28(0.16), $p$ =.09
			smoking	0.14(0.17), $p$ =.43	-0.10(0.03), $p$ <.01
			cardio	-0.10(0.14), $p$ =.45	-0.01(0.03), $p$ =.85
			diabetes	-0.01(0.16), $p$ =.72	-0.05(0.03), $p$ =.10
tics	female	641	intercept	8.08(0.25), $p$ <.01	-0.08(0.04), $p$ =.01
			age	0.04(0.01), $p$ <.01	0.01(0.00), $p$ <.01
			education	0.15(0.03), $p$ <.01	-0.01(0.01), $p$ =.05
			height	0.85(1.12), $p$ =.48	0.11(0.25), $p$ =.67
			smoking	0.82(0.32), $p$ =.01	-0.22(0.07), $p$ <.01
			cardio	-0.28(0.19), $p$ =.14	-0.01(0.04), $p$ =.71
			diabetes	0.06(0.19), $p$ =.61	0.05(0.04), $p$ =.19
tics	male	507	intercept	8.74(0.23), $p$ <.01	-0.18(0.05), $p$ <.01
			age	0.02(0.01), $p$ =.02	0.02(0.00), $p$ <.01
			education	0.09(0.02), $p$ <.01	-0.01(0.00), $p$ =.05
			height	0.60(0.67), $p$ =.33	0.18(0.21), $p$ =.40
			smoking	0.07(0.21), $p$ =.67	-0.27(0.06), $p$ <.01
			cardio	0.06(0.10), $p$ =.56	0.00(0.03), $p$ =.88
			diabetes	0.01(0.11), $p$ =.58	-0.04(0.04), $p$ =.27
word_de	female	641	intercept	3.69(0.14), $p$ <.01	-0.03(0.02), $p$ =.17
			age	-0.07(0.01), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.15(0.02), $p$ <.01	-0.01(0.00), $p$ =.03
			height	0.63(0.98), $p$ =.46	0.07(0.17), $p$ =.60
			smoking	0.20(0.19), $p$ =.28	-0.09(0.03), $p$ <.01
			cardio	-0.29(0.16), $p$ =.06	-0.00(0.03), $p$ =.64
			diabetes	-0.29(0.17), $p$ =.07	-0.02(0.03), $p$ =.45
word_de	male	507	intercept	2.97(0.20), $p$ <.01	-0.07(0.03), $p$ =.03
			age	-0.05(0.01), $p$ <.01	-0.00(0.00), $p$ <.01
			education	0.16(0.02), $p$ <.01	-0.00(0.00), $p$ =.14
			height	1.49(0.83), $p$ =.06	-0.06(0.15), $p$ =.71
			smoking	-0.21(0.19), $p$ =.26	-0.04(0.03), $p$ =.20
			cardio	-0.17(0.14), $p$ =.21	0.01(0.02), $p$ =.82
			diabetes	-0.40(0.18), $p$ =.04	0.02(0.03), $p$ =.47
word_im	female	641	intercept	4.83(0.12), $p$ <.01	-0.08(0.02), $p$ <.01
			age	-0.05(0.00), $p$ <.01	-0.00(0.00), $p$ <.01
			education	0.14(0.02), $p$ <.01	-0.00(0.00), $p$ =.51
			height	0.63(0.77), $p$ =.36	0.16(0.14), $p$ =.20
			smoking	0.05(0.15), $p$ =.76	-0.04(0.03), $p$ =.09
			cardio	-0.21(0.13), $p$ =.12	-0.01(0.02), $p$ =.66
			diabetes	-0.20(0.13), $p$ =.15	-0.01(0.02), $p$ =.62
word_im	male	507	intercept	4.32(0.17), $p$ <.01	-0.10(0.03), $p$ <.01
			age	-0.05(0.01), $p$ <.01	-0.00(0.00), $p$ <.01
			education	0.13(0.02), $p$ <.01	0.00(0.00), $p$ =.69
			height	1.35(0.77), $p$ =.09	-0.04(0.14), $p$ =.74
			smoking	-0.38(0.15), $p$ =.04	0.02(0.03), $p$ =.50
			cardio	0.03(0.12), $p$ =.84	-0.04(0.02), $p$ =.13
			diabetes	-0.32(0.16), $p$ =.03	0.00(0.03), $p$ =.94

ilse

Process	Gender	$n$	species	intercept	slope
block	female	225	intercept	19.53(4.80), $p$ <.01	-0.17(0.44), $p$ =.70
			age	-0.64(0.67), $p$ =.34	0.02(0.06), $p$ =.73
			education	5.61(1.15), $p$ <.01	-0.03(0.10), $p$ =.78
			height	-0.01(0.10), $p$ =.95	0.00(0.01), $p$ =.89
			smoking	-2.39(1.18), $p$ =.04	-0.02(0.10), $p$ =.82
			cardio	1.01(1.24), $p$ =.41	0.11(0.11), $p$ =.35
			diabetes	–, $p$ = —-	–, $p$ = —-
block	male	252	intercept	22.73(3.92), $p$ <.01	-0.75(0.45), $p$ =.10
			age	-0.43(0.54), $p$ =.43	-0.06(0.06), $p$ =.29
			education	6.06(1.15), $p$ <.01	-0.20(0.11), $p$ =.07
			height	0.15(0.08), $p$ =.06	0.00(0.01), $p$ =.96
			smoking	-1.28(1.16), $p$ =.27	0.04(0.12), $p$ =.76
			cardio	-0.54(1.11), $p$ =.62	-0.17(0.11), $p$ =.12
			diabetes	–, $p$ = —-	–, $p$ = —-
fluency	female	225	intercept	24.11(5.27), $p$ <.01	-0.18(0.51), $p$ =.73
			age	-0.68(0.73), $p$ =.35	-0.01(0.07), $p$ =.92
			education	6.29(1.29), $p$ <.01	0.12(0.12), $p$ =.32
			height	-0.04(0.11), $p$ =.74	0.01(0.01), $p$ =.38
			smoking	0.15(1.25), $p$ =.91	0.01(0.12), $p$ =.95
			cardio	-0.96(1.42), $p$ =.50	-0.01(0.14), $p$ =.96
			diabetes	–, $p$ = —-	–, $p$ = —-
fluency	male	252	intercept	23.80(4.66), $p$ <.01	-0.08(0.46), $p$ =.87
			age	-0.32(0.66), $p$ =.62	0.01(0.06), $p$ =.89
			education	5.43(1.20), $p$ <.01	0.00(0.12), $p$ =.98
			height	0.15(0.09), $p$ =.10	-0.01(0.01), $p$ =.37
			smoking	-0.52(1.29), $p$ =.68	-0.04(0.12), $p$ =.73
			cardio	0.51(1.24), $p$ =.68	0.11(0.13), $p$ =.43
			diabetes	–, $p$ = —-	–, $p$ = —-
grip	female	225	intercept	87.69(13.71), $p$ <.01	-6.66(2.28), $p$ <.01
			age	2.80(1.85), $p$ =.13	-0.58(0.31), $p$ =.06
			education	-3.04(3.56), $p$ =.39	0.64(0.50), $p$ =.20
			height	0.63(0.32), $p$ =.05	-0.02(0.04), $p$ =.72
			smoking	-4.92(3.80), $p$ =.19	0.33(0.54), $p$ =.54
			cardio	1.97(4.35), $p$ =.65	-0.14(0.64), $p$ =.82
			diabetes	–, $p$ = —-	–, $p$ = —-
grip	male	252	intercept	94.65(12.76), $p$ <.01	-2.79(1.58), $p$ =.08
			age	0.91(1.65), $p$ =.58	-0.06(0.21), $p$ =.77
			education	0.99(3.49), $p$ =.78	0.05(0.51), $p$ =.91
			height	0.63(0.26), $p$ =.02	-0.04(0.04), $p$ =.20
			smoking	-3.38(3.74), $p$ =.37	0.59(0.47), $p$ =.21
			cardio	-2.58(3.77), $p$ =.49	0.56(0.50), $p$ =.25
			diabetes	–, $p$ = —-	–, $p$ = —-
piccomp	female	225	intercept	10.16(3.03), $p$ <.01	0.20(0.29), $p$ =.54
			age	-0.67(0.41), $p$ =.28	0.05(0.04), $p$ =.24
			education	2.85(0.82), $p$ <.01	0.10(0.08), $p$ =.41
			height	0.02(0.07), $p$ =.62	-0.00(0.01), $p$ =.08
			smoking	-0.65(0.75), $p$ =.37	-0.01(0.08), $p$ =.40
			cardio	-0.61(0.82), $p$ =.46	-0.02(0.08), $p$ =.47
			diabetes	–, $p$ = —-	–, $p$ = —-
piccomp	male	252	intercept	16.54(2.53), $p$ <.01	-0.35(0.28), $p$ =.44
			age	0.02(0.35), $p$ =.95	-0.03(0.04), $p$ =.53
			education	2.69(0.76), $p$ <.01	-0.06(0.08), $p$ =.39
			height	0.06(0.05), $p$ =.25	0.00(0.01), $p$ =.61
			smoking	0.12(0.70), $p$ =.61	0.02(0.07), $p$ =.22
			cardio	-0.29(0.68), $p$ =.67	-0.01(0.08), $p$ =.58
			diabetes	–, $p$ = —-	–, $p$ = —-
symbol	female	225	intercept	38.17(6.61), $p$ <.01	0.03(0.38), $p$ =.95
			age	-0.62(0.92), $p$ =.50	0.06(0.05), $p$ =.28
			education	8.91(1.57), $p$ <.01	-0.09(0.10), $p$ =.35
			height	0.06(0.13), $p$ =.63	0.00(0.01), $p$ =.52
			smoking	-0.14(1.53), $p$ =.92	-0.06(0.10), $p$ =.51
			cardio	-0.79(1.87), $p$ =.67	-0.03(0.10), $p$ =.80
			diabetes	–, $p$ = —-	–, $p$ = —-
symbol	male	252	intercept	37.51(5.54), $p$ <.01	0.03(0.51), $p$ =.96
			age	-0.06(0.75), $p$ =.94	0.06(0.07), $p$ =.39
			education	8.78(1.48), $p$ <.01	-0.06(0.12), $p$ =.61
			height	0.19(0.10), $p$ =.06	-0.01(0.01), $p$ =.58
			smoking	0.11(1.56), $p$ =.95	-0.02(0.13), $p$ =.88
			cardio	-0.44(1.49), $p$ =.77	-0.04(0.13), $p$ =.75
			diabetes	–, $p$ = —-	–, $p$ = —-
tug	female	225	intercept	4.79(1.62), $p$ <.01	0.21(0.20), $p$ =.30
			age	-0.16(0.22), $p$ =.48	0.00(0.03), $p$ =.92
			education	-0.48(0.38), $p$ =.20	0.05(0.05), $p$ =.38
			height	0.01(0.03), $p$ =.76	0.00(0.00), $p$ =.88
			smoking	-0.23(0.38), $p$ =.55	0.05(0.05), $p$ =.33
			cardio	0.66(0.40), $p$ =.10	-0.04(0.05), $p$ =.41
			diabetes	–, $p$ = —-	–, $p$ = —-
tug	male	252	intercept	4.82(1.12), $p$ <.01	0.28(0.18), $p$ =.12
			age	-0.04(0.16), $p$ =.82	0.01(0.02), $p$ =.76
			education	-0.18(0.27), $p$ =.51	0.01(0.04), $p$ =.77
			height	-0.02(0.02), $p$ =.29	0.00(0.00), $p$ =.80
			smoking	0.04(0.31), $p$ =.89	-0.02(0.04), $p$ =.69
			cardio	0.46(0.27), $p$ =.10	0.02(0.05), $p$ =.70
			diabetes	–, $p$ = —-	–, $p$ = —-
waisgeneral	female	225	intercept	12.01(2.21), $p$ <.01	0.35(0.17), $p$ =.04
			age	-0.08(0.30), $p$ =.80	0.04(0.02), $p$ =.08
			education	4.27(0.70), $p$ <.01	-0.02(0.05), $p$ =.71
			height	0.05(0.05), $p$ =.31	0.00(0.00), $p$ =.55
			smoking	-0.28(0.60), $p$ =.63	0.01(0.05), $p$ =.81
			cardio	-0.07(0.65), $p$ =.92	-0.04(0.05), $p$ =.44
			diabetes	–, $p$ = —-	–, $p$ = —-
waisgeneral	male	252	intercept	14.29(2.11), $p$ <.01	0.04(0.19), $p$ =.84
			age	-0.24(0.30), $p$ =.42	0.01(0.03), $p$ =.79
			education	3.46(0.69), $p$ <.01	-0.06(0.05), $p$ =.22
			height	0.02(0.04), $p$ =.65	0.00(0.00), $p$ =.30
			smoking	-0.33(0.57), $p$ =.57	0.03(0.04), $p$ =.50
			cardio	0.73(0.55), $p$ =.19	-0.06(0.04), $p$ =.20
			diabetes	–, $p$ = —-	–, $p$ = —-

lasa

Process	Gender	$n$	species	intercept	slope
gait	female	782	intercept	7.77(0.17), $p$ <.01	0.42(0.05), $p$ <.01
			age	0.14(0.02), $p$ <.01	0.04(0.01), $p$ <.01
			education	-0.05(0.04), $p$ =.17	-0.01(0.01), $p$ =.39
			height	-0.02(0.02), $p$ =.24	0.01(0.00), $p$ =.01
			smoking	0.29(0.28), $p$ =.30	0.07(0.05), $p$ =.16
			cardio	1.16(0.34), $p$ <.01	0.01(0.06), $p$ =.86
			diabetes	1.82(0.86), $p$ =.03	0.15(0.16), $p$ =.35
gait	male	800	intercept	7.20(0.14), $p$ <.01	0.42(0.06), $p$ <.01
			age	0.08(0.01), $p$ <.01	0.03(0.00), $p$ <.01
			education	-0.07(0.02), $p$ =.01	-0.01(0.00), $p$ =.01
			height	-0.02(0.01), $p$ =.12	0.00(0.00), $p$ =.85
			smoking	0.08(0.21), $p$ =.71	0.03(0.05), $p$ =.52
			cardio	0.29(0.21), $p$ =.16	-0.02(0.05), $p$ =.67
			diabetes	0.32(0.40), $p$ =.43	0.10(0.13), $p$ =.44
grip	female	782	intercept	19.43(0.28), $p$ <.01	-0.28(0.03), $p$ <.01
			age	-0.31(0.02), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.08(0.06), $p$ =.14	-0.00(0.00), $p$ =.39
			height	0.17(0.03), $p$ <.01	-0.00(0.00), $p$ =.42
			smoking	-0.58(0.52), $p$ =.26	-0.05(0.05), $p$ =.33
			cardio	-0.35(0.44), $p$ =.42	-0.02(0.04), $p$ =.54
			diabetes	-1.94(0.77), $p$ =.01	-0.05(0.08), $p$ =.58
grip	male	800	intercept	34.02(0.49), $p$ <.01	-0.61(0.06), $p$ <.01
			age	-0.46(0.04), $p$ <.01	-0.03(0.00), $p$ <.01
			education	-0.10(0.08), $p$ =.24	0.01(0.01), $p$ =.20
			height	0.22(0.04), $p$ <.01	-0.00(0.00), $p$ =.42
			smoking	0.26(0.62), $p$ =.67	-0.11(0.06), $p$ =.06
			cardio	0.37(0.61), $p$ =.55	-0.05(0.06), $p$ =.43
			diabetes	-2.94(1.44), $p$ =.04	-0.30(0.12), $p$ =.02
letter	female	782	intercept	24.26(0.35), $p$ <.01	-0.35(0.02), $p$ <.01
			age	-0.33(0.03), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.85(0.07), $p$ <.01	-0.00(0.00), $p$ =.29
			height	0.08(0.03), $p$ =.01	-0.00(0.00), $p$ =.66
			smoking	-0.63(0.54), $p$ =.28	0.01(0.03), $p$ =.73
			cardio	-1.05(0.55), $p$ =.06	0.01(0.04), $p$ =.78
			diabetes	-0.79(1.00), $p$ =.43	-0.10(0.10), $p$ =.28
letter	male	800	intercept	22.82(0.35), $p$ <.01	-0.38(0.03), $p$ <.01
			age	-0.31(0.02), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.76(0.06), $p$ <.01	-0.01(0.00), $p$ =.08
			height	0.10(0.03), $p$ <.01	0.00(0.00), $p$ =.74
			smoking	-0.71(0.43), $p$ =.10	-0.06(0.03), $p$ =.06
			cardio	-0.35(0.45), $p$ =.43	-0.02(0.03), $p$ =.59
			diabetes	-2.03(0.94), $p$ =.03	-0.06(0.07), $p$ =.29
pef	female	782	intercept	352.05(4.52), $p$ <.01	-3.79(0.36), $p$ <.01
			age	-4.50(0.36), $p$ <.01	-0.14(0.03), $p$ <.01
			education	3.08(0.87), $p$ <.01	-0.09(0.06), $p$ =.18
			height	2.52(0.41), $p$ <.01	-0.04(0.03), $p$ =.21
			smoking	-30.62(6.89), $p$ <.01	-0.82(0.47), $p$ =.08
			cardio	-12.34(7.36), $p$ =.09	0.03(0.52), $p$ =.95
			diabetes	-3.75(12.47), $p$ =.76	-0.91(1.15), $p$ =.43
pef	male	800	intercept	468.42(6.54), $p$ <.01	-5.31(0.55), $p$ <.01
			age	-6.52(0.47), $p$ <.01	-0.16(0.04), $p$ <.01
			education	4.45(1.11), $p$ <.01	-0.06(0.09), $p$ =.47
			height	3.18(0.50), $p$ <.01	-0.02(0.04), $p$ =.55
			smoking	-52.98(7.94), $p$ <.01	-1.86(0.62), $p$ <.01
			cardio	-0.76(8.45), $p$ =.93	-1.30(0.68), $p$ =.06
			diabetes	1.14(14.27), $p$ =.94	-1.55(1.47), $p$ =.29
raven	female	782	intercept	17.80(0.18), $p$ <.01	-0.16(0.02), $p$ <.01
			age	-0.15(0.01), $p$ <.01	-0.00(0.00), $p$ <.01
			education	0.40(0.03), $p$ <.01	0.00(0.00), $p$ =.80
			height	0.01(0.02), $p$ =.70	0.00(0.00), $p$ =.83
			smoking	-0.66(0.28), $p$ =.02	0.02(0.02), $p$ =.42
			cardio	-0.04(0.29), $p$ =.90	-0.04(0.03), $p$ =.09
			diabetes	-0.84(0.56), $p$ =.14	-0.08(0.06), $p$ =.12
raven	male	800	intercept	17.64(0.19), $p$ <.01	-0.17(0.02), $p$ <.01
			age	-0.15(0.01), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.36(0.03), $p$ <.01	-0.00(0.00), $p$ =.69
			height	0.06(0.02), $p$ <.01	0.00(0.00), $p$ =.72
			smoking	-0.24(0.24), $p$ =.32	0.00(0.02), $p$ =.79
			cardio	-0.45(0.25), $p$ =.07	0.00(0.02), $p$ =.76
			diabetes	-0.97(0.50), $p$ =.05	-0.05(0.05), $p$ =.34
word_im	female	782	intercept	21.11(0.28), $p$ <.01	-0.31(0.03), $p$ <.01
			age	-0.29(0.02), $p$ <.01	0.00(0.00), $p$ =.15
			education	0.48(0.05), $p$ <.01	-0.01(0.00), $p$ =.23
			height	0.01(0.03), $p$ =.59	0.00(0.00), $p$ =.33
			smoking	-0.50(0.49), $p$ =.30	-0.03(0.04), $p$ =.43
			cardio	-0.60(0.48), $p$ =.21	-0.00(0.05), $p$ =.95
			diabetes	-0.97(0.79), $p$ =.23	-0.05(0.08), $p$ =.53
word_im	male	800	intercept	17.65(0.28), $p$ <.01	-0.22(0.03), $p$ <.01
			age	-0.25(0.02), $p$ <.01	-0.00(0.00), $p$ =.22
			education	0.41(0.05), $p$ <.01	-0.01(0.00), $p$ =.03
			height	0.03(0.02), $p$ =.25	0.00(0.00), $p$ =.43
			smoking	-0.35(0.37), $p$ =.34	-0.04(0.04), $p$ =.24
			cardio	0.08(0.36), $p$ =.83	-0.00(0.04), $p$ =.91
			diabetes	-0.95(0.72), $p$ =.18	-0.21(0.07), $p$ <.01

map

Process	Gender	$n$	species	intercept	slope
bnt	female	1,010	intercept	13.47(0.16), $p$ <.01	0.09(0.04), $p$ =.02
			age	-0.02(0.00), $p$ <.01	-0.00(0.00), $p$ =.15
			education	0.09(0.02), $p$ <.01	-0.01(0.00), $p$ =.06
			height	2.69(0.67), $p$ <.01	-0.29(0.15), $p$ =.06
			smoking	-0.01(0.08), $p$ =.91	-0.00(0.02), $p$ =.92
			cardio	-0.12(0.22), $p$ =.59	0.03(0.05), $p$ =.60
			diabetes	-0.37(0.17), $p$ =.03	0.04(0.05), $p$ =.36
bnt	male	351	intercept	13.76(0.29), $p$ <.01	0.05(0.05), $p$ =.25
			age	-0.03(0.02), $p$ =.07	0.00(0.00), $p$ =.06
			education	0.06(0.02), $p$ <.01	-0.01(0.00), $p$ =.16
			height	2.52(0.78), $p$ <.01	-0.47(0.18), $p$ =.01
			smoking	0.06(0.13), $p$ =.66	-0.01(0.02), $p$ =.76
			cardio	0.01(0.19), $p$ =.97	-0.03(0.04), $p$ =.55
			diabetes	0.02(0.14), $p$ =.89	0.04(0.04), $p$ =.33
bstory_de	female	1,010	intercept	8.98(0.16), $p$ <.01	0.07(0.06), $p$ =.30
			age	-0.03(0.01), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.09(0.02), $p$ <.01	-0.00(0.01), $p$ =.58
			height	0.40(0.68), $p$ =.56	0.31(0.30), $p$ =.30
			smoking	0.00(0.10), $p$ =.96	-0.07(0.04), $p$ =.09
			cardio	-0.26(0.22), $p$ =.22	0.12(0.09), $p$ =.16
			diabetes	-0.11(0.16), $p$ =.48	0.06(0.07), $p$ =.39
bstory_de	male	351	intercept	8.94(0.34), $p$ <.01	-0.08(0.11), $p$ =.49
			age	-0.07(0.01), $p$ <.01	0.01(0.00), $p$ =.03
			education	0.10(0.03), $p$ <.01	-0.01(0.01), $p$ =.21
			height	0.76(1.48), $p$ =.61	0.74(0.53), $p$ =.16
			smoking	0.00(0.20), $p$ =.99	-0.06(0.07), $p$ =.36
			cardio	0.06(0.26), $p$ =.83	0.11(0.09), $p$ =.22
			diabetes	-0.17(0.26), $p$ =.53	0.10(0.08), $p$ =.27
bstory_im	female	1,010	intercept	9.37(0.16), $p$ <.01	-0.03(0.06), $p$ =.59
			age	-0.03(0.01), $p$ <.01	-0.00(0.00), $p$ =.10
			education	0.08(0.02), $p$ <.01	0.01(0.01), $p$ =.34
			height	0.84(0.71), $p$ =.24	0.24(0.26), $p$ =.36
			smoking	0.03(0.10), $p$ =.74	-0.05(0.04), $p$ =.22
			cardio	-0.13(0.20), $p$ =.51	-0.03(0.08), $p$ =.70
			diabetes	0.13(0.15), $p$ =.39	-0.00(0.05), $p$ =.98
bstory_im	male	351	intercept	9.44(0.29), $p$ <.01	-0.07(0.10), $p$ =.52
			age	-0.06(0.01), $p$ <.01	0.01(0.00), $p$ =.01
			education	0.07(0.03), $p$ =.01	-0.01(0.01), $p$ =.36
			height	1.72(1.19), $p$ =.15	-0.24(0.47), $p$ =.61
			smoking	0.13(0.16), $p$ =.43	-0.06(0.06), $p$ =.36
			cardio	0.08(0.24), $p$ =.72	-0.01(0.09), $p$ =.93
			diabetes	-0.03(0.23), $p$ =.90	0.02(0.08), $p$ =.79
categories	female	1,010	intercept	32.92(0.76), $p$ <.01	-0.05(0.21), $p$ =.83
			age	-0.26(0.03), $p$ <.01	-0.03(0.01), $p$ <.01
			education	0.78(0.08), $p$ <.01	0.00(0.03), $p$ =.96
			height	12.73(3.54), $p$ <.01	0.28(0.97), $p$ =.78
			smoking	-1.49(0.46), $p$ <.01	0.12(0.13), $p$ =.36
			cardio	-1.51(0.78), $p$ =.05	-0.21(0.27), $p$ =.43
			diabetes	-0.65(0.78), $p$ =.41	-0.08(0.24), $p$ =.73
categories	male	351	intercept	31.35(1.34), $p$ <.01	0.37(0.35), $p$ =.29
			age	-0.32(0.06), $p$ <.01	-0.03(0.02), $p$ =.08
			education	0.51(0.12), $p$ <.01	-0.04(0.03), $p$ =.28
			height	13.70(6.24), $p$ =.03	0.76(1.61), $p$ =.64
			smoking	-0.77(0.76), $p$ =.31	0.05(0.22), $p$ =.83
			cardio	-0.22(1.10), $p$ =.84	0.17(0.34), $p$ =.61
			diabetes	0.23(1.12), $p$ =.84	-0.57(0.30), $p$ =.06
digit_b	female	1,010	intercept	5.19(0.18), $p$ <.01	-0.01(0.05), $p$ =.90
			age	0.00(0.01), $p$ =.66	0.00(0.00), $p$ =.78
			education	0.15(0.02), $p$ <.01	-0.00(0.00), $p$ =.33
			height	3.16(0.82), $p$ <.01	0.12(0.24), $p$ =.63
			smoking	0.00(0.11), $p$ =.98	0.00(0.03), $p$ =.93
			cardio	-0.61(0.18), $p$ <.01	0.21(0.07), $p$ <.01
			diabetes	0.04(0.20), $p$ =.85	-0.03(0.07), $p$ =.65
digit_b	male	351	intercept	5.04(0.31), $p$ <.01	0.04(0.10), $p$ =.68
			age	-0.04(0.02), $p$ <.01	-0.00(0.00), $p$ =.74
			education	0.18(0.03), $p$ <.01	-0.00(0.01), $p$ =.96
			height	-0.78(1.22), $p$ =.52	0.39(0.42), $p$ =.36
			smoking	0.12(0.17), $p$ =.50	-0.00(0.05), $p$ =.94
			cardio	0.16(0.24), $p$ =.51	-0.07(0.08), $p$ =.38
			diabetes	-0.02(0.24), $p$ =.92	-0.04(0.07), $p$ =.62
digit_f	female	1,010	intercept	7.28(0.20), $p$ <.01	0.04(0.06), $p$ =.45
			age	0.00(0.01), $p$ =.55	-0.00(0.00), $p$ =.71
			education	0.14(0.02), $p$ <.01	-0.00(0.01), $p$ =.41
			height	3.13(0.82), $p$ <.01	-0.21(0.26), $p$ =.40
			smoking	0.00(0.11), $p$ =.97	-0.01(0.03), $p$ =.74
			cardio	0.03(0.22), $p$ =.90	-0.10(0.06), $p$ =.11
			diabetes	0.04(0.19), $p$ =.84	-0.01(0.06), $p$ =.79
digit_f	male	351	intercept	7.23(0.29), $p$ <.01	0.01(0.09), $p$ =.93
			age	-0.04(0.01), $p$ <.01	0.00(0.00), $p$ =.80
			education	0.19(0.02), $p$ <.01	-0.01(0.01), $p$ =.39
			height	-1.30(1.48), $p$ =.38	0.12(0.47), $p$ =.80
			smoking	0.32(0.17), $p$ =.06	0.02(0.05), $p$ =.77
			cardio	0.19(0.25), $p$ =.43	-0.05(0.08), $p$ =.55
			diabetes	-0.38(0.27), $p$ =.16	0.10(0.07), $p$ =.17
digit_o	female	1,010	intercept	6.50(0.16), $p$ <.01	0.07(0.05), $p$ =.15
			age	-0.00(0.01), $p$ =.53	-0.00(0.00), $p$ =.13
			education	0.12(0.02), $p$ <.01	-0.01(0.00), $p$ =.24
			height	1.69(0.59), $p$ <.01	0.20(0.21), $p$ =.35
			smoking	-0.06(0.08), $p$ =.46	-0.04(0.03), $p$ =.22
			cardio	-0.11(0.15), $p$ =.48	-0.07(0.06), $p$ =.27
			diabetes	-0.14(0.15), $p$ =.37	0.06(0.04), $p$ =.18
digit_o	male	351	intercept	6.85(0.25), $p$ <.01	-0.10(0.08), $p$ =.21
			age	-0.05(0.01), $p$ <.01	-0.00(0.00), $p$ =.88
			education	0.10(0.02), $p$ <.01	0.00(0.01), $p$ =.78
			height	2.30(1.03), $p$ =.03	0.20(0.37), $p$ =.59
			smoking	0.07(0.13), $p$ =.57	0.03(0.04), $p$ =.45
			cardio	-0.06(0.20), $p$ =.77	0.03(0.07), $p$ =.72
			diabetes	-0.13(0.20), $p$ =.52	0.03(0.06), $p$ =.65
fev	female	1,010	intercept	1.68(0.04), $p$ <.01	-0.04(0.01), $p$ <.01
			age	-0.02(0.00), $p$ <.01	0.00(0.00), $p$ =.08
			education	0.01(0.00), $p$ <.01	0.00(0.00), $p$ =.96
			height	1.63(0.22), $p$ <.01	-0.07(0.04), $p$ =.09
			smoking	-0.09(0.02), $p$ <.01	0.00(0.00), $p$ =.69
			cardio	-0.06(0.05), $p$ =.23	-0.01(0.01), $p$ =.15
			diabetes	-0.03(0.04), $p$ =.40	-0.01(0.01), $p$ =.51
fev	male	351	intercept	2.40(0.11), $p$ <.01	-0.08(0.02), $p$ <.01
			age	-0.03(0.00), $p$ <.01	0.00(0.00), $p$ =.79
			education	0.02(0.01), $p$ =.04	0.00(0.00), $p$ =.96
			height	1.70(0.45), $p$ <.01	0.10(0.12), $p$ =.43
			smoking	-0.22(0.07), $p$ <.01	0.04(0.01), $p$ =.01
			cardio	-0.09(0.09), $p$ =.32	-0.02(0.02), $p$ =.17
			diabetes	-0.24(0.08), $p$ <.01	0.04(0.02), $p$ =.05
grip	female	1,010	intercept	43.70(1.26), $p$ <.01	-0.40(0.32), $p$ =.20
			age	-0.59(0.05), $p$ <.01	-0.02(0.01), $p$ =.06
			education	0.38(0.13), $p$ <.01	-0.07(0.03), $p$ =.04
			height	39.39(4.23), $p$ <.01	-1.16(1.18), $p$ =.32
			smoking	0.37(0.67), $p$ =.58	-0.01(0.17), $p$ =.96
			cardio	0.54(1.40), $p$ =.70	0.13(0.29), $p$ =.64
			diabetes	-0.04(1.21), $p$ =.97	-0.29(0.28), $p$ =.31
grip	male	351	intercept	79.54(3.05), $p$ <.01	-2.47(0.90), $p$ =.01
			age	-1.00(0.13), $p$ <.01	-0.03(0.04), $p$ =.37
			education	-0.02(0.27), $p$ =.92	0.09(0.07), $p$ =.17
			height	83.53(11.29), $p$ <.01	-3.39(3.54), $p$ =.34
			smoking	-0.15(2.00), $p$ =.94	0.04(0.46), $p$ =.93
			cardio	-6.21(2.75), $p$ =.02	0.86(0.64), $p$ =.18
			diabetes	-6.40(2.33), $p$ =.01	1.18(0.52), $p$ =.02
ideas	female	1,010	intercept	7.56(0.06), $p$ <.01	0.02(0.02), $p$ =.34
			age	0.00(0.00), $p$ =.11	0.00(0.00), $p$ =.64
			education	0.02(0.00), $p$ <.01	-0.00(0.00), $p$ =.37
			height	0.38(0.23), $p$ =.10	0.07(0.09), $p$ =.43
			smoking	-0.03(0.03), $p$ =.32	0.02(0.01), $p$ =.12
			cardio	-0.05(0.06), $p$ =.42	0.02(0.02), $p$ =.45
			diabetes	-0.11(0.06), $p$ =.07	0.02(0.02), $p$ =.44
ideas	male	351	intercept	7.78(0.09), $p$ <.01	-0.04(0.05), $p$ =.42
			age	-0.01(0.01), $p$ =.20	0.00(0.00), $p$ =.08
			education	0.01(0.01), $p$ =.11	-0.00(0.00), $p$ =.65
			height	0.59(0.42), $p$ =.16	0.00(0.16), $p$ =.93
			smoking	-0.04(0.06), $p$ =.45	0.03(0.02), $p$ =.21
			cardio	0.05(0.07), $p$ =.51	0.01(0.02), $p$ =.70
			diabetes	-0.07(0.08), $p$ =.40	0.02(0.03), $p$ =.52
line	female	1,010	intercept	8.16(0.30), $p$ <.01	-0.04(0.08), $p$ =.65
			age	-0.01(0.01), $p$ =.27	0.00(0.00), $p$ =.99
			education	0.24(0.03), $p$ <.01	0.00(0.01), $p$ =.81
			height	3.05(1.28), $p$ =.02	0.28(0.36), $p$ =.44
			smoking	-0.28(0.16), $p$ =.09	0.06(0.05), $p$ =.18
			cardio	0.12(0.32), $p$ =.71	-0.15(0.09), $p$ =.07
			diabetes	-0.73(0.29), $p$ =.01	0.06(0.09), $p$ =.50
line	male	351	intercept	10.35(0.51), $p$ <.01	-0.13(0.15), $p$ =.40
			age	-0.02(0.02), $p$ =.30	0.01(0.01), $p$ =.41
			education	0.20(0.04), $p$ <.01	0.00(0.01), $p$ =.72
			height	4.16(2.41), $p$ =.08	0.78(0.66), $p$ =.24
			smoking	-0.65(0.28), $p$ =.02	0.07(0.08), $p$ =.37
			cardio	-0.20(0.41), $p$ =.64	0.12(0.14), $p$ =.41
			diabetes	-0.17(0.38), $p$ =.66	0.04(0.12), $p$ =.74
logic_de	female	1,010	intercept	8.49(0.37), $p$ <.01	0.28(0.12), $p$ =.02
			age	-0.10(0.02), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.34(0.04), $p$ <.01	0.03(0.01), $p$ =.05
			height	5.51(1.54), $p$ <.01	0.27(0.56), $p$ =.63
			smoking	-0.06(0.22), $p$ =.80	-0.09(0.07), $p$ =.21
			cardio	-0.29(0.51), $p$ =.57	-0.02(0.15), $p$ =.89
			diabetes	-0.40(0.36), $p$ =.27	0.11(0.12), $p$ =.35
logic_de	male	351	intercept	7.95(0.74), $p$ <.01	0.21(0.24), $p$ =.37
			age	-0.14(0.03), $p$ <.01	-0.00(0.01), $p$ =.60
			education	0.24(0.06), $p$ <.01	0.01(0.02), $p$ =.64
			height	2.91(3.05), $p$ =.34	0.61(0.96), $p$ =.53
			smoking	-0.21(0.38), $p$ =.59	0.11(0.12), $p$ =.37
			cardio	0.64(0.53), $p$ =.23	0.01(0.19), $p$ =.96
			diabetes	0.90(0.50), $p$ =.07	-0.00(0.18), $p$ =.89
logic_im	female	1,010	intercept	10.20(0.37), $p$ <.01	0.26(0.12), $p$ =.02
			age	-0.10(0.02), $p$ <.01	-0.01(0.00), $p$ =.06
			education	0.34(0.04), $p$ <.01	0.01(0.01), $p$ =.42
			height	4.38(1.42), $p$ <.01	0.23(0.51), $p$ =.66
			smoking	-0.20(0.22), $p$ =.36	-0.05(0.07), $p$ =.48
			cardio	-0.35(0.50), $p$ =.48	0.07(0.14), $p$ =.62
			diabetes	-0.27(0.36), $p$ =.45	0.20(0.12), $p$ =.10
logic_im	male	351	intercept	9.53(0.72), $p$ <.01	0.13(0.21), $p$ =.54
			age	-0.14(0.03), $p$ <.01	0.01(0.01), $p$ =.31
			education	0.24(0.06), $p$ <.01	-0.00(0.02), $p$ =.81
			height	5.15(2.96), $p$ =.08	-0.08(0.92), $p$ =.93
			smoking	0.09(0.38), $p$ =.82	0.02(0.12), $p$ =.86
			cardio	0.47(0.53), $p$ =.38	-0.10(0.17), $p$ =.57
			diabetes	0.49(0.49), $p$ =.31	0.04(0.17), $p$ =.80
matrices	female	1,010	intercept	9.75(0.26), $p$ <.01	0.03(0.09), $p$ =.70
			age	-0.04(0.01), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.32(0.02), $p$ <.01	-0.00(0.01), $p$ =.77
			height	4.10(1.17), $p$ <.01	0.36(0.36), $p$ =.32
			smoking	-0.00(0.14), $p$ =.99	-0.01(0.05), $p$ =.80
			cardio	-0.39(0.28), $p$ =.16	-0.01(0.11), $p$ =.94
			diabetes	-0.34(0.26), $p$ =.19	0.01(0.08), $p$ =.87
matrices	male	351	intercept	10.95(0.45), $p$ <.01	0.05(0.14), $p$ =.75
			age	-0.08(0.02), $p$ <.01	-0.00(0.01), $p$ =.51
			education	0.24(0.04), $p$ <.01	-0.01(0.01), $p$ =.49
			height	7.41(2.23), $p$ <.01	0.19(0.75), $p$ =.80
			smoking	-0.19(0.26), $p$ =.45	0.04(0.07), $p$ =.56
			cardio	0.35(0.38), $p$ =.36	0.08(0.15), $p$ =.59
			diabetes	-0.10(0.40), $p$ =.80	-0.03(0.13), $p$ =.84
mmms	female	1,010	intercept	27.66(0.16), $p$ <.01	0.05(0.07), $p$ =.45
			age	-0.04(0.01), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.15(0.02), $p$ <.01	-0.01(0.01), $p$ =.06
			height	1.54(0.63), $p$ =.01	0.00(0.25), $p$ =.94
			smoking	-0.09(0.09), $p$ =.33	0.02(0.04), $p$ =.60
			cardio	-0.13(0.17), $p$ =.45	0.07(0.07), $p$ =.32
			diabetes	-0.06(0.17), $p$ =.73	0.04(0.07), $p$ =.59
mmms	male	351	intercept	27.30(0.30), $p$ <.01	0.01(0.13), $p$ =.93
			age	-0.08(0.02), $p$ <.01	0.00(0.01), $p$ =.51
			education	0.14(0.03), $p$ <.01	-0.01(0.01), $p$ =.31
			height	3.18(1.33), $p$ =.02	-0.14(0.67), $p$ =.84
			smoking	0.16(0.19), $p$ =.40	-0.02(0.07), $p$ =.76
			cardio	0.17(0.29), $p$ =.55	-0.02(0.10), $p$ =.84
			diabetes	-0.13(0.26), $p$ =.60	0.12(0.11), $p$ =.27
nart	female	1,010	intercept	5.04(0.22), $p$ <.01	0.04(0.04), $p$ =.37
			age	0.05(0.01), $p$ <.01	-0.00(0.00), $p$ =.33
			education	0.33(0.02), $p$ <.01	-0.00(0.00), $p$ =.88
			height	3.54(0.87), $p$ <.01	0.03(0.16), $p$ =.84
			smoking	0.09(0.12), $p$ =.45	0.00(0.02), $p$ =.86
			cardio	-0.09(0.28), $p$ =.74	-0.03(0.05), $p$ =.55
			diabetes	-0.65(0.23), $p$ <.01	-0.02(0.05), $p$ =.64
nart	male	351	intercept	4.89(0.40), $p$ <.01	0.07(0.08), $p$ =.35
			age	0.00(0.02), $p$ =.78	0.00(0.00), $p$ =.97
			education	0.34(0.03), $p$ <.01	-0.01(0.01), $p$ =.34
			height	2.05(1.52), $p$ =.18	0.00(0.29), $p$ =.98
			smoking	0.19(0.19), $p$ =.32	0.06(0.03), $p$ =.07
			cardio	-0.20(0.31), $p$ =.51	-0.01(0.06), $p$ =.85
			diabetes	-0.16(0.29), $p$ =.57	-0.07(0.06), $p$ =.25
num_comp	female	1,010	intercept	23.14(0.77), $p$ <.01	0.28(0.16), $p$ =.09
			age	-0.18(0.03), $p$ <.01	-0.03(0.01), $p$ <.01
			education	0.52(0.08), $p$ <.01	-0.01(0.02), $p$ =.43
			height	13.79(2.93), $p$ <.01	-0.13(0.72), $p$ =.85
			smoking	-0.69(0.41), $p$ =.10	-0.09(0.10), $p$ =.35
			cardio	-0.70(0.84), $p$ =.40	0.04(0.18), $p$ =.83
			diabetes	-2.16(0.75), $p$ <.01	0.20(0.21), $p$ =.33
num_comp	male	351	intercept	20.33(1.18), $p$ <.01	0.27(0.31), $p$ =.37
			age	-0.16(0.06), $p$ =.01	-0.03(0.01), $p$ =.03
			education	0.54(0.10), $p$ <.01	-0.04(0.03), $p$ =.14
			height	18.22(5.17), $p$ <.01	-1.53(1.43), $p$ =.29
			smoking	0.39(0.70), $p$ =.58	0.25(0.16), $p$ =.11
			cardio	-0.34(1.00), $p$ =.73	-0.00(0.22), $p$ =.93
			diabetes	1.95(0.91), $p$ =.03	-0.41(0.22), $p$ =.07
symbol	female	1,010	intercept	35.44(1.05), $p$ <.01	0.51(0.22), $p$ =.02
			age	-0.37(0.04), $p$ <.01	-0.06(0.01), $p$ <.01
			education	1.02(0.10), $p$ <.01	-0.04(0.02), $p$ =.06
			height	14.77(3.91), $p$ <.01	2.15(1.08), $p$ =.05
			smoking	-0.77(0.56), $p$ =.17	-0.17(0.14), $p$ =.25
			cardio	-1.35(1.19), $p$ =.26	0.13(0.26), $p$ =.60
			diabetes	-3.06(1.01), $p$ <.01	-0.27(0.27), $p$ =.31
symbol	male	351	intercept	35.99(1.71), $p$ <.01	-0.09(0.42), $p$ =.83
			age	-0.45(0.08), $p$ <.01	-0.06(0.02), $p$ <.01
			education	0.78(0.16), $p$ <.01	0.03(0.04), $p$ =.37
			height	25.56(6.92), $p$ <.01	-0.64(1.89), $p$ =.74
			smoking	-0.29(0.94), $p$ =.75	-0.02(0.21), $p$ =.94
			cardio	-0.75(1.22), $p$ =.54	0.30(0.30), $p$ =.33
			diabetes	-0.03(1.39), $p$ =.98	-0.61(0.31), $p$ =.06
word_de	female	1,010	intercept	5.57(0.20), $p$ <.01	0.13(0.06), $p$ =.03
			age	-0.06(0.01), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.14(0.02), $p$ <.01	0.00(0.01), $p$ =.80
			height	2.74(0.86), $p$ <.01	0.10(0.28), $p$ =.72
			smoking	-0.34(0.12), $p$ <.01	-0.01(0.04), $p$ =.77
			cardio	-0.46(0.28), $p$ =.10	0.02(0.07), $p$ =.77
			diabetes	-0.09(0.19), $p$ =.63	-0.02(0.05), $p$ =.67
word_de	male	351	intercept	4.99(0.33), $p$ <.01	0.07(0.11), $p$ =.53
			age	-0.11(0.01), $p$ <.01	0.00(0.00), $p$ =.35
			education	0.13(0.03), $p$ <.01	-0.01(0.01), $p$ =.34
			height	0.42(1.39), $p$ =.76	0.16(0.49), $p$ =.74
			smoking	-0.26(0.18), $p$ =.16	0.03(0.06), $p$ =.63
			cardio	0.06(0.28), $p$ =.83	0.04(0.07), $p$ =.59
			diabetes	0.30(0.29), $p$ =.29	-0.07(0.08), $p$ =.41
word_im	female	1,010	intercept	16.83(0.39), $p$ <.01	0.41(0.12), $p$ <.01
			age	-0.11(0.02), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.36(0.04), $p$ <.01	-0.00(0.01), $p$ =.77
			height	5.11(1.62), $p$ <.01	-0.04(0.52), $p$ =.95
			smoking	-0.61(0.22), $p$ =.01	-0.04(0.08), $p$ =.57
			cardio	-0.67(0.51), $p$ =.19	-0.02(0.15), $p$ =.89
			diabetes	0.12(0.42), $p$ =.78	0.07(0.13), $p$ =.56
word_im	male	351	intercept	15.36(0.63), $p$ <.01	0.26(0.20), $p$ =.19
			age	-0.16(0.03), $p$ <.01	0.01(0.01), $p$ =.36
			education	0.31(0.05), $p$ <.01	-0.01(0.02), $p$ =.52
			height	0.69(2.32), $p$ =.77	0.03(0.81), $p$ =.94
			smoking	-0.29(0.30), $p$ =.34	-0.05(0.11), $p$ =.67
			cardio	0.53(0.47), $p$ =.26	-0.00(0.16), $p$ =.99
			diabetes	0.73(0.49), $p$ =.14	-0.14(0.16), $p$ =.40
word_rec	female	1,010	intercept	9.75(0.09), $p$ <.01	0.01(0.03), $p$ =.80
			age	-0.01(0.00), $p$ <.01	-0.00(0.00), $p$ =.08
			education	0.01(0.01), $p$ =.19	0.00(0.00), $p$ =.88
			height	0.59(0.44), $p$ =.18	0.16(0.12), $p$ =.19
			smoking	-0.06(0.05), $p$ =.20	0.00(0.02), $p$ =.92
			cardio	-0.19(0.16), $p$ =.25	0.03(0.02), $p$ =.30
			diabetes	0.02(0.10), $p$ =.85	-0.00(0.02), $p$ =.89
word_rec	male	351	intercept	9.61(0.18), $p$ <.01	0.08(0.06), $p$ =.15
			age	-0.04(0.01), $p$ <.01	0.00(0.00), $p$ =.67
			education	0.02(0.02), $p$ =.17	-0.01(0.01), $p$ =.34
			height	1.11(0.83), $p$ =.18	-0.56(0.27), $p$ =.04
			smoking	-0.19(0.11), $p$ =.09	0.01(0.03), $p$ =.83
			cardio	-0.06(0.18), $p$ =.76	0.08(0.05), $p$ =.11
			diabetes	0.20(0.17), $p$ =.23	-0.06(0.06), $p$ =.30

nuage

Process	Gender	$n$	species	intercept	slope
grip	female	934	intercept	60.57(1.12), $p$ <.01	-2.18(0.28), $p$ <.01
			age	-0.94(0.11), $p$ <.01	0.02(0.03), $p$ =.53
			education	0.01(0.13), $p$ =.95	-0.02(0.03), $p$ =.57
			height	-10.95(8.00), $p$ =.17	-0.94(2.01), $p$ =.64
			smoking	1.22(1.00), $p$ =.23	0.47(0.25), $p$ =.06
			cardio	2.84(1.28), $p$ =.03	-0.55(0.31), $p$ =.08
			diabetes	0.02(1.88), $p$ =.99	-0.49(0.49), $p$ =.32
grip	male	847	intercept	80.72(1.37), $p$ <.01	-2.36(0.29), $p$ <.01
			age	-1.39(0.13), $p$ <.01	-0.03(0.03), $p$ =.36
			education	0.13(0.12), $p$ =.27	0.00(0.02), $p$ =.99
			height	59.47(7.30), $p$ <.01	-0.67(1.65), $p$ =.68
			smoking	0.27(1.12), $p$ =.81	-0.12(0.25), $p$ =.62
			cardio	1.38(1.22), $p$ =.26	0.04(0.25), $p$ =.88
			diabetes	-3.02(1.78), $p$ =.09	-0.35(0.39), $p$ =.37
mmms	female	934	intercept	61.15(0.20), $p$ <.01	-0.27(0.09), $p$ =.01
			age	-0.15(0.02), $p$ <.01	-0.04(0.01), $p$ <.01
			education	0.22(0.02), $p$ <.01	0.00(0.01), $p$ =.67
			height	3.45(1.34), $p$ =.43	-0.32(0.74), $p$ =.74
			smoking	0.07(0.17), $p$ =.57	0.07(0.08), $p$ =.36
			cardio	-0.12(0.21), $p$ =.46	-0.06(0.10), $p$ =.66
			diabetes	-0.55(0.32), $p$ =.26	0.00(0.14), $p$ =.86
mmms	male	847	intercept	59.46(0.24), $p$ <.01	-0.37(0.11), $p$ <.01
			age	-0.10(0.02), $p$ <.01	-0.03(0.01), $p$ =.04
			education	0.26(0.02), $p$ <.01	0.02(0.01), $p$ =.02
			height	4.40(1.36), $p$ <.01	0.84(0.62), $p$ =.45
			smoking	0.13(0.20), $p$ =.49	-0.12(0.09), $p$ =.19
			cardio	0.20(0.22), $p$ =.40	0.10(0.10), $p$ =.37
			diabetes	0.03(0.28), $p$ =.91	-0.11(0.13), $p$ =.44

octo

Process	Gender	$n$	species	intercept	slope
block	female	272	intercept	14.81(0.75), $p$ <.01	-0.22(0.10), $p$ =.07
			age	-0.60(0.14), $p$ <.01	0.01(0.02), $p$ =.73
			education	0.78(0.19), $p$ <.01	-0.04(0.03), $p$ =.26
			height	-0.02(0.07), $p$ =.80	0.01(0.01), $p$ =.17
			smoking	-1.21(0.95), $p$ =.16	0.06(0.14), $p$ =.67
			cardio	-0.12(0.81), $p$ =.88	-0.16(0.12), $p$ =.19
			diabetes	1.35(2.33), $p$ =.56	-0.04(0.21), $p$ =.71
block	male	137	intercept	16.62(1.48), $p$ <.01	-0.42(0.17), $p$ =.01
			age	-0.49(0.22), $p$ =.04	0.04(0.03), $p$ =.19
			education	0.63(0.19), $p$ <.01	0.02(0.04), $p$ =.61
			height	0.15(0.09), $p$ =.08	-0.01(0.01), $p$ =.62
			smoking	-3.60(1.44), $p$ =.01	0.02(0.15), $p$ =.77
			cardio	-0.69(1.11), $p$ =.54	-0.16(0.16), $p$ =.34
			diabetes	-2.36(1.29), $p$ =.05	0.24(0.30), $p$ =.41
digit_b	female	275	intercept	3.86(0.13), $p$ <.01	-0.09(0.03), $p$ <.01
			age	-0.10(0.02), $p$ <.01	0.01(0.01), $p$ =.14
			education	0.12(0.04), $p$ <.01	0.00(0.01), $p$ =.98
			height	-0.00(0.01), $p$ =.76	0.00(0.00), $p$ =.61
			smoking	-0.32(0.19), $p$ =.09	0.04(0.03), $p$ =.12
			cardio	0.06(0.14), $p$ =.69	-0.03(0.03), $p$ =.24
			diabetes	-0.09(0.30), $p$ =.76	0.04(0.06), $p$ =.47
digit_b	male	139	intercept	3.95(0.28), $p$ <.01	-0.06(0.09), $p$ =.47
			age	-0.08(0.04), $p$ =.08	0.00(0.01), $p$ =.88
			education	0.12(0.03), $p$ <.01	-0.00(0.01), $p$ =.62
			height	0.00(0.02), $p$ =.91	0.01(0.00), $p$ =.10
			smoking	-0.19(0.28), $p$ =.49	-0.03(0.08), $p$ =.64
			cardio	-0.56(0.24), $p$ =.02	0.09(0.06), $p$ =.12
			diabetes	-0.30(0.43), $p$ =.49	-0.03(0.12), $p$ =.78
digit_f	female	275	intercept	5.68(0.12), $p$ <.01	-0.07(0.02), $p$ <.01
			age	-0.08(0.02), $p$ <.01	0.00(0.00), $p$ =.52
			education	0.14(0.03), $p$ <.01	-0.01(0.00), $p$ =.02
			height	0.01(0.01), $p$ =.46	-0.00(0.00), $p$ =.32
			smoking	-0.15(0.14), $p$ =.29	0.04(0.03), $p$ =.11
			cardio	0.05(0.12), $p$ =.67	-0.00(0.02), $p$ =.85
			diabetes	0.08(0.26), $p$ =.75	0.00(0.05), $p$ =.92
digit_f	male	139	intercept	5.91(0.25), $p$ <.01	-0.10(0.06), $p$ =.08
			age	-0.02(0.03), $p$ =.41	-0.01(0.01), $p$ =.08
			education	0.07(0.02), $p$ =.01	0.01(0.01), $p$ =.20
			height	0.01(0.01), $p$ =.42	-0.00(0.00), $p$ =.18
			smoking	-0.47(0.23), $p$ =.04	0.06(0.05), $p$ =.23
			cardio	-0.01(0.19), $p$ =.94	-0.02(0.04), $p$ =.51
			diabetes	-0.03(0.27), $p$ =.92	-0.00(0.06), $p$ =.96
fig_logic	female	273	intercept	17.15(0.40), $p$ <.01	-0.15(0.07), $p$ =.05
			age	-0.31(0.09), $p$ <.01	0.01(0.02), $p$ =.77
			education	0.36(0.14), $p$ =.01	-0.04(0.03), $p$ =.20
			height	-0.02(0.05), $p$ =.72	0.00(0.01), $p$ =.54
			smoking	-0.81(0.33), $p$ =.01	0.14(0.07), $p$ =.05
			cardio	–, $p$ = —-	–, $p$ = —-
			diabetes	0.97(0.91), $p$ =.29	-0.08(0.18), $p$ =.65
fig_logic	male	138	intercept	17.61(0.73), $p$ <.01	0.08(0.19), $p$ =.68
			age	-0.13(0.12), $p$ =.27	0.00(0.04), $p$ =.99
			education	0.35(0.10), $p$ <.01	-0.02(0.03), $p$ =.46
			height	0.04(0.05), $p$ =.41	0.02(0.01), $p$ =.16
			smoking	-1.06(0.32), $p$ <.01	-0.05(0.07), $p$ =.47
			cardio	–, $p$ = —-	–, $p$ = —-
			diabetes	-1.08(1.22), $p$ =.37	0.46(0.37), $p$ =.22
gait	female	272	intercept	10.27(0.46), $p$ <.01	0.53(0.36), $p$ =.15
			age	0.32(0.09), $p$ <.01	-0.01(0.05), $p$ =.89
			education	-0.31(0.13), $p$ =.01	-0.03(0.06), $p$ =.65
			height	-0.04(0.05), $p$ =.40	0.01(0.03), $p$ =.74
			smoking	0.04(0.74), $p$ =.96	0.06(0.21), $p$ =.80
			cardio	0.73(0.51), $p$ =.15	-0.20(0.24), $p$ =.42
			diabetes	1.61(1.44), $p$ =.27	1.03(1.00), $p$ =.31
gait	male	138	intercept	9.15(0.65), $p$ <.01	0.20(0.18), $p$ =.26
			age	0.30(0.10), $p$ <.01	-0.01(0.03), $p$ =.72
			education	-0.08(0.10), $p$ =.39	0.00(0.02), $p$ =.87
			height	-0.05(0.04), $p$ =.20	0.01(0.01), $p$ =.46
			smoking	0.96(0.56), $p$ =.09	-0.09(0.14), $p$ =.53
			cardio	1.30(0.53), $p$ =.01	0.22(0.14), $p$ =.13
			diabetes	1.22(0.81), $p$ =.13	0.10(0.23), $p$ =.68
grip	female	272	intercept	9.16(0.22), $p$ <.01	-0.34(0.03), $p$ <.01
			age	-0.16(0.04), $p$ <.01	-0.00(0.01), $p$ =.70
			education	0.21(0.07), $p$ <.01	-0.01(0.01), $p$ =.34
			height	0.09(0.02), $p$ <.01	-0.00(0.00), $p$ =.50
			smoking	-0.37(0.17), $p$ =.03	0.01(0.02), $p$ =.73
			cardio	-0.17(0.25), $p$ =.51	0.00(0.04), $p$ =.98
			diabetes	0.04(0.50), $p$ =.94	-0.06(0.10), $p$ =.59
grip	male	139	intercept	12.09(0.42), $p$ <.01	-0.35(0.08), $p$ <.01
			age	-0.17(0.07), $p$ =.02	-0.04(0.02), $p$ =.05
			education	-0.12(0.05), $p$ =.01	0.00(0.01), $p$ =.70
			height	0.11(0.04), $p$ <.01	-0.01(0.01), $p$ =.12
			smoking	-0.08(0.18), $p$ =.67	-0.01(0.04), $p$ =.84
			cardio	-0.41(0.40), $p$ =.31	-0.23(0.07), $p$ <.01
			diabetes	-1.58(0.68), $p$ =.02	-0.09(0.11), $p$ =.41
mir	female	272	intercept	7.81(0.20), $p$ <.01	-0.05(0.05), $p$ =.30
			age	-0.16(0.05), $p$ <.01	-0.02(0.01), $p$ =.15
			education	0.04(0.07), $p$ =.55	-0.00(0.02), $p$ =.85
			height	-0.01(0.02), $p$ =.49	0.00(0.01), $p$ =.45
			smoking	-0.06(0.14), $p$ =.69	-0.01(0.05), $p$ =.82
			cardio	–, $p$ = —-	–, $p$ = —-
			diabetes	0.30(0.43), $p$ =.49	0.03(0.11), $p$ =.78
mir	male	139	intercept	7.21(0.40), $p$ <.01	0.02(0.09), $p$ =.83
			age	-0.21(0.08), $p$ =.01	-0.04(0.02), $p$ =.06
			education	0.09(0.05), $p$ =.06	0.00(0.02), $p$ =.99
			height	-0.00(0.03), $p$ =.92	0.00(0.01), $p$ =.69
			smoking	-0.17(0.18), $p$ =.33	-0.04(0.04), $p$ =.33
			cardio	–, $p$ = —-	–, $p$ = —-
			diabetes	-0.09(0.54), $p$ =.86	0.23(0.16), $p$ =.15
pef	female	271	intercept	327.58(8.78), $p$ <.01	-7.04(1.41), $p$ <.01
			age	-6.30(1.89), $p$ <.01	0.95(0.36), $p$ =.01
			education	5.64(2.66), $p$ =.04	-0.24(0.46), $p$ =.60
			height	2.63(0.99), $p$ =.01	-0.21(0.20), $p$ =.28
			smoking	-35.14(12.76), $p$ =.01	-3.36(2.05), $p$ =.10
			cardio	2.72(10.17), $p$ =.79	-2.75(1.68), $p$ =.09
			diabetes	3.40(16.59), $p$ =.84	3.83(3.58), $p$ =.27
pef	male	136	intercept	465.57(23.55), $p$ <.01	-3.29(3.62), $p$ =.37
			age	-11.96(4.15), $p$ <.01	0.14(0.95), $p$ =.88
			education	6.98(2.11), $p$ <.01	-0.43(0.58), $p$ =.44
			height	2.11(1.48), $p$ =.15	0.26(0.26), $p$ =.33
			smoking	-33.30(21.78), $p$ =.13	-5.22(3.40), $p$ =.12
			cardio	-21.12(19.62), $p$ =.28	-2.60(3.04), $p$ =.41
			diabetes	43.66(27.02), $p$ =.11	-5.43(4.09), $p$ =.17
prose_im	female	270	intercept	11.15(0.40), $p$ <.01	-0.04(0.07), $p$ =.54
			age	-0.25(0.08), $p$ <.01	0.02(0.02), $p$ =.15
			education	0.46(0.10), $p$ <.01	-0.04(0.02), $p$ =.03
			height	0.01(0.04), $p$ =.76	0.01(0.01), $p$ =.45
			smoking	0.24(0.49), $p$ =.63	-0.11(0.10), $p$ =.27
			cardio	0.23(0.43), $p$ =.59	-0.07(0.09), $p$ =.41
			diabetes	-1.78(1.14), $p$ =.12	0.09(0.19), $p$ =.61
prose_im	male	139	intercept	10.69(0.81), $p$ <.01	0.06(0.17), $p$ =.79
			age	-0.27(0.12), $p$ =.03	-0.00(0.05), $p$ =.91
			education	0.43(0.09), $p$ <.01	-0.01(0.01), $p$ =.59
			height	0.01(0.06), $p$ =.91	0.01(0.01), $p$ =.20
			smoking	-0.62(0.80), $p$ =.38	-0.15(0.12), $p$ =.45
			cardio	-0.46(0.69), $p$ =.51	-0.18(0.11), $p$ =.12
			diabetes	0.70(0.93), $p$ =.41	-0.18(0.22), $p$ =.44
symbol	female	265	intercept	28.46(1.19), $p$ <.01	-0.13(0.19), $p$ =.50
			age	-0.81(0.27), $p$ <.01	-0.00(0.04), $p$ =.95
			education	1.70(0.38), $p$ <.01	-0.04(0.06), $p$ =.52
			height	0.08(0.12), $p$ =.50	0.01(0.02), $p$ =.54
			smoking	-0.69(1.67), $p$ =.66	-0.30(0.27), $p$ =.27
			cardio	1.09(1.28), $p$ =.40	-0.76(0.19), $p$ <.01
			diabetes	-2.57(3.16), $p$ =.42	1.38(0.48), $p$ <.01
symbol	male	134	intercept	30.52(2.41), $p$ <.01	-0.54(0.33), $p$ =.10
			age	-0.65(0.37), $p$ =.09	0.04(0.07), $p$ =.54
			education	1.71(0.24), $p$ <.01	0.02(0.04), $p$ =.58
			height	0.25(0.12), $p$ =.04	-0.02(0.02), $p$ =.30
			smoking	-5.97(2.25), $p$ =.01	0.10(0.30), $p$ =.74
			cardio	-1.56(1.77), $p$ =.38	-0.15(0.27), $p$ =.57
			diabetes	-1.95(2.27), $p$ =.34	-0.09(0.47), $p$ =.84

satsa

Process	Gender	$n$	species	intercept	slope
analogies	female	409	intercept	13.14(0.30), $p$ <.01	-0.12(0.03), $p$ <.01
			age	-0.12(0.02), $p$ <.01	-0.00(0.00), $p$ =.02
			education	1.76(0.24), $p$ <.01	0.02(0.02), $p$ =.42
			height	0.03(0.03), $p$ =.32	-0.00(0.00), $p$ =.90
			smoking	0.52(0.39), $p$ =.18	0.01(0.03), $p$ =.87
			cardio	-0.56(0.64), $p$ =.38	0.07(0.06), $p$ =.22
			diabetes	-0.80(0.95), $p$ =.40	0.05(0.19), $p$ =.76
analogies	male	300	intercept	13.16(0.48), $p$ <.01	-0.12(0.04), $p$ <.01
			age	-0.17(0.03), $p$ <.01	-0.00(0.00), $p$ =.17
			education	1.58(0.23), $p$ <.01	0.01(0.02), $p$ =.64
			height	0.10(0.04), $p$ =.01	0.00(0.00), $p$ =.54
			smoking	0.01(0.47), $p$ =.97	0.01(0.03), $p$ =.69
			cardio	-0.21(0.67), $p$ =.75	0.02(0.05), $p$ =.66
			diabetes	-1.32(2.84), $p$ =.62	-0.13(0.48), $p$ =.68
block	female	408	intercept	16.49(0.52), $p$ <.01	-0.36(0.03), $p$ <.01
			age	-0.29(0.04), $p$ <.01	-0.01(0.00), $p$ <.01
			education	2.21(0.50), $p$ <.01	0.02(0.03), $p$ =.55
			height	0.09(0.06), $p$ =.17	-0.00(0.00), $p$ =.50
			smoking	0.12(0.79), $p$ =.87	-0.01(0.05), $p$ =.89
			cardio	-0.02(1.14), $p$ =.99	0.04(0.09), $p$ =.64
			diabetes	-5.41(2.37), $p$ =.02	0.09(0.17), $p$ =.61
block	male	298	intercept	16.01(0.76), $p$ <.01	-0.42(0.06), $p$ <.01
			age	-0.38(0.06), $p$ <.01	-0.02(0.00), $p$ <.01
			education	2.29(0.46), $p$ <.01	-0.02(0.02), $p$ =.34
			height	0.10(0.07), $p$ =.15	0.01(0.00), $p$ =.20
			smoking	0.31(0.86), $p$ =.72	-0.04(0.06), $p$ =.55
			cardio	-0.27(1.07), $p$ =.80	0.00(0.10), $p$ =.95
			diabetes	-4.29(7.08), $p$ =.53	0.17(0.44), $p$ =.69
digit_b	female	409	intercept	3.67(0.10), $p$ <.01	-0.04(0.01), $p$ <.01
			age	-0.01(0.01), $p$ =.16	-0.00(0.00), $p$ =.04
			education	0.51(0.11), $p$ <.01	-0.01(0.01), $p$ =.28
			height	0.01(0.01), $p$ =.34	0.00(0.00), $p$ =.39
			smoking	0.25(0.17), $p$ =.13	0.00(0.01), $p$ =.66
			cardio	0.02(0.21), $p$ =.92	0.02(0.02), $p$ =.28
			diabetes	0.14(0.38), $p$ =.71	-0.02(0.03), $p$ =.64
digit_b	male	299	intercept	3.85(0.17), $p$ <.01	-0.05(0.01), $p$ <.01
			age	-0.02(0.01), $p$ =.05	-0.00(0.00), $p$ =.02
			education	0.31(0.08), $p$ <.01	-0.01(0.01), $p$ =.07
			height	0.04(0.01), $p$ <.01	0.00(0.00), $p$ =.99
			smoking	0.03(0.16), $p$ =.87	0.01(0.01), $p$ =.37
			cardio	-0.22(0.21), $p$ =.30	-0.01(0.02), $p$ =.66
			diabetes	-0.23(0.84), $p$ =.78	0.02(0.10), $p$ =.81
digit_f	female	409	intercept	5.55(0.10), $p$ <.01	-0.03(0.01), $p$ <.01
			age	-0.01(0.01), $p$ =.13	-0.00(0.00), $p$ =.17
			education	0.32(0.09), $p$ <.01	0.00(0.00), $p$ =.95
			height	0.00(0.01), $p$ =.78	0.00(0.00), $p$ =.09
			smoking	0.03(0.13), $p$ =.80	0.00(0.01), $p$ =.71
			cardio	-0.28(0.23), $p$ =.22	0.03(0.01), $p$ =.06
			diabetes	-0.25(0.37), $p$ =.53	0.02(0.07), $p$ =.71
digit_f	male	299	intercept	5.35(0.13), $p$ <.01	-0.02(0.01), $p$ =.06
			age	-0.01(0.01), $p$ =.19	-0.00(0.00), $p$ =.26
			education	0.24(0.07), $p$ <.01	-0.00(0.01), $p$ =.54
			height	0.05(0.01), $p$ <.01	-0.00(0.00), $p$ =.45
			smoking	0.01(0.14), $p$ =.97	0.01(0.01), $p$ =.56
			cardio	-0.06(0.22), $p$ =.77	-0.01(0.02), $p$ =.48
			diabetes	-0.73(0.54), $p$ =.18	0.03(0.10), $p$ =.78
fev	female	409	intercept	1.80(0.04), $p$ <.01	-0.02(0.00), $p$ <.01
			age	-0.03(0.00), $p$ <.01	0.00(0.00), $p$ =.14
			education	0.04(0.03), $p$ =.19	0.00(0.00), $p$ =.95
			height	0.02(0.00), $p$ <.01	0.00(0.00), $p$ =.53
			smoking	-0.06(0.04), $p$ =.22	-0.00(0.00), $p$ =.50
			cardio	-0.12(0.06), $p$ =.05	-0.00(0.01), $p$ =.87
			diabetes	-0.11(0.11), $p$ =.31	-0.01(0.01), $p$ =.75
fev	male	299	intercept	2.55(0.07), $p$ <.01	-0.05(0.01), $p$ <.01
			age	-0.04(0.01), $p$ <.01	0.00(0.00), $p$ =.42
			education	0.04(0.04), $p$ =.36	0.00(0.00), $p$ =.91
			height	0.04(0.01), $p$ <.01	0.00(0.00), $p$ =.71
			smoking	-0.11(0.08), $p$ =.17	0.00(0.01), $p$ =.97
			cardio	-0.27(0.12), $p$ =.03	0.00(0.01), $p$ =.56
			diabetes	-0.46(0.25), $p$ =.07	0.02(0.04), $p$ =.69
fig_mem	female	410	intercept	20.45(0.34), $p$ <.01	-0.18(0.03), $p$ <.01
			age	-0.08(0.03), $p$ <.01	-0.01(0.00), $p$ <.01
			education	1.25(0.33), $p$ <.01	-0.00(0.02), $p$ =.94
			height	0.01(0.04), $p$ =.71	-0.00(0.00), $p$ =.74
			smoking	0.53(0.48), $p$ =.28	-0.07(0.04), $p$ =.05
			cardio	0.55(0.64), $p$ =.39	0.00(0.05), $p$ =.93
			diabetes	-0.97(1.49), $p$ =.52	-0.15(0.15), $p$ =.33
fig_mem	male	299	intercept	18.49(0.52), $p$ <.01	-0.16(0.04), $p$ <.01
			age	-0.17(0.04), $p$ <.01	-0.01(0.00), $p$ <.01
			education	1.04(0.31), $p$ <.01	0.00(0.02), $p$ =.97
			height	0.00(0.04), $p$ =.99	0.00(0.00), $p$ =.21
			smoking	0.21(0.58), $p$ =.72	-0.04(0.04), $p$ =.31
			cardio	0.05(0.83), $p$ =.96	-0.08(0.08), $p$ =.32
			diabetes	-1.74(4.05), $p$ =.67	0.09(0.58), $p$ =.87
grip	female	409	intercept	21.49(0.45), $p$ <.01	-0.57(0.04), $p$ <.01
			age	-0.19(0.04), $p$ <.01	-0.01(0.00), $p$ <.01
			education	0.31(0.39), $p$ =.43	0.02(0.03), $p$ =.52
			height	0.15(0.05), $p$ <.01	0.00(0.00), $p$ =.93
			smoking	0.25(0.63), $p$ =.69	0.03(0.05), $p$ =.64
			cardio	-2.22(0.81), $p$ =.01	0.01(0.07), $p$ =.87
			diabetes	-1.58(1.68), $p$ =.37	-0.38(0.26), $p$ =.15
grip	male	299	intercept	37.22(1.17), $p$ <.01	-0.91(0.14), $p$ <.01
			age	-0.49(0.09), $p$ <.01	-0.02(0.01), $p$ =.12
			education	-0.01(0.78), $p$ =.92	-0.00(0.07), $p$ =.97
			height	0.34(0.13), $p$ =.03	-0.00(0.01), $p$ =.81
			smoking	1.19(1.44), $p$ =.40	0.01(0.14), $p$ =.93
			cardio	-0.65(2.09), $p$ =.77	0.05(0.18), $p$ =.73
			diabetes	-2.21(5.28), $p$ =.67	-0.19(0.95), $p$ =.83
information	female	411	intercept	27.86(0.57), $p$ <.01	-0.28(0.05), $p$ <.01
			age	-0.04(0.05), $p$ =.40	-0.02(0.00), $p$ <.01
			education	4.02(0.78), $p$ <.01	-0.03(0.05), $p$ =.54
			height	0.01(0.07), $p$ =.83	0.00(0.00), $p$ =.57
			smoking	1.08(0.99), $p$ =.28	0.04(0.06), $p$ =.54
			cardio	-2.04(1.13), $p$ =.07	0.09(0.09), $p$ =.35
			diabetes	0.37(1.76), $p$ =.83	-0.17(0.18), $p$ =.37
information	male	300	intercept	30.63(0.83), $p$ <.01	-0.17(0.06), $p$ <.01
			age	-0.15(0.06), $p$ =.02	-0.01(0.00), $p$ <.01
			education	2.61(0.60), $p$ <.01	-0.02(0.03), $p$ =.47
			height	0.10(0.08), $p$ =.20	0.00(0.00), $p$ =.47
			smoking	0.88(0.89), $p$ =.32	0.02(0.05), $p$ =.70
			cardio	-2.66(1.16), $p$ =.02	0.01(0.06), $p$ =.85
			diabetes	1.55(2.99), $p$ =.60	0.05(0.33), $p$ =.87
mmms	female	412	intercept	28.06(0.14), $p$ <.01	-0.29(0.03), $p$ <.01
			age	-0.03(0.01), $p$ =.01	-0.01(0.00), $p$ <.01
			education	0.32(0.19), $p$ =.08	0.01(0.03), $p$ =.77
			height	-0.01(0.02), $p$ =.56	0.00(0.00), $p$ =.55
			smoking	-0.06(0.27), $p$ =.81	0.04(0.04), $p$ =.32
			cardio	-0.10(0.26), $p$ =.69	0.02(0.05), $p$ =.74
			diabetes	-0.52(0.51), $p$ =.30	0.12(0.11), $p$ =.29
mmms	male	300	intercept	27.13(0.24), $p$ <.01	-0.14(0.03), $p$ <.01
			age	-0.07(0.02), $p$ <.01	-0.01(0.00), $p$ =.02
			education	0.29(0.18), $p$ =.12	0.01(0.02), $p$ =.60
			height	0.06(0.03), $p$ =.04	0.00(0.00), $p$ =.97
			smoking	0.67(0.29), $p$ =.02	-0.03(0.04), $p$ =.37
			cardio	-0.43(0.31), $p$ =.17	0.01(0.04), $p$ =.90
			diabetes	0.13(1.19), $p$ =.91	0.07(0.15), $p$ =.63
rotate	female	408	intercept	41.53(1.57), $p$ <.01	-0.96(0.11), $p$ <.01
			age	-0.66(0.11), $p$ <.01	-0.04(0.01), $p$ <.01
			education	0.90(1.21), $p$ =.46	0.19(0.07), $p$ =.01
			height	0.20(0.16), $p$ =.23	-0.02(0.01), $p$ =.12
			smoking	0.87(1.92), $p$ =.65	-0.13(0.12), $p$ =.28
			cardio	1.93(2.68), $p$ =.47	0.07(0.28), $p$ =.79
			diabetes	-8.58(10.32), $p$ =.41	-0.80(0.95), $p$ =.40
rotate	male	299	intercept	49.54(2.65), $p$ <.01	-1.57(0.20), $p$ <.01
			age	-1.01(0.16), $p$ <.01	-0.06(0.01), $p$ <.01
			education	4.03(1.18), $p$ <.01	0.05(0.09), $p$ =.61
			height	0.09(0.17), $p$ =.62	0.03(0.01), $p$ =.03
			smoking	-2.28(2.46), $p$ =.35	0.12(0.17), $p$ =.46
			cardio	0.40(3.36), $p$ =.91	0.00(0.25), $p$ =.99
			diabetes	-4.82(16.86), $p$ =.78	-0.18(1.13), $p$ =.87
symbol	female	408	intercept	34.50(0.74), $p$ <.01	-0.82(0.06), $p$ <.01
			age	-0.69(0.06), $p$ <.01	-0.02(0.00), $p$ <.01
			education	3.31(0.70), $p$ <.01	0.05(0.04), $p$ =.23
			height	0.17(0.09), $p$ =.05	-0.00(0.01), $p$ =.92
			smoking	0.98(1.20), $p$ =.42	-0.06(0.08), $p$ =.43
			cardio	-1.82(1.54), $p$ =.24	-0.02(0.16), $p$ =.92
			diabetes	-6.94(2.86), $p$ =.01	-0.19(1.04), $p$ =.82
symbol	male	299	intercept	32.68(1.14), $p$ <.01	-0.91(0.08), $p$ <.01
			age	-0.69(0.08), $p$ <.01	-0.03(0.01), $p$ <.01
			education	3.68(0.65), $p$ <.01	0.02(0.04), $p$ =.68
			height	0.23(0.10), $p$ =.02	0.01(0.01), $p$ =.34
			smoking	-0.45(1.27), $p$ =.72	-0.13(0.09), $p$ =.15
			cardio	-1.17(1.93), $p$ =.55	-0.01(0.14), $p$ =.95
			diabetes	-0.72(8.73), $p$ =.92	-0.04(0.77), $p$ =.95
synonyms	female	410	intercept	17.72(0.34), $p$ <.01	-0.12(0.02), $p$ <.01
			age	-0.04(0.03), $p$ =.19	-0.01(0.00), $p$ <.01
			education	2.70(0.48), $p$ <.01	0.00(0.03), $p$ =.95
			height	0.04(0.05), $p$ =.41	0.00(0.00), $p$ =.66
			smoking	1.09(0.61), $p$ =.07	-0.01(0.03), $p$ =.81
			cardio	-1.59(0.85), $p$ =.06	0.06(0.05), $p$ =.23
			diabetes	-2.11(1.07), $p$ =.05	0.13(0.16), $p$ =.43
synonyms	male	300	intercept	15.91(0.57), $p$ <.01	-0.07(0.04), $p$ =.04
			age	-0.10(0.04), $p$ =.02	-0.01(0.00), $p$ =.01
			education	2.36(0.37), $p$ <.01	-0.03(0.01), $p$ =.03
			height	0.15(0.06), $p$ =.01	-0.00(0.00), $p$ =.81
			smoking	1.21(0.64), $p$ =.06	-0.02(0.03), $p$ =.61
			cardio	-2.06(0.91), $p$ =.02	0.04(0.05), $p$ =.46
			diabetes	-0.92(2.53), $p$ =.72	0.10(0.36), $p$ =.79

Forest Plots

Forest plots of the ‘aehplus’ model are shown for each combination of physical & cognitive variable.

Process Variable: analogies

Process Variable: block

Process Variable: bnt

Process Variable: bstory_de

Process Variable: bstory_im

Process Variable: categories

Process Variable: digit_b

Process Variable: digit_f

Process Variable: digit_o

Process Variable: digit_tot

Process Variable: fas

Process Variable: fev

Process Variable: fev100

Process Variable: fig_logic

Process Variable: fig_mem

Process Variable: fluency

Process Variable: gait

Process Variable: grip

Process Variable: ideas

Process Variable: information

Process Variable: letter

Process Variable: line

Process Variable: logic_de

Process Variable: logic_im

Process Variable: logic_tot

Process Variable: matrices

Process Variable: mir

Process Variable: mmms

Process Variable: nart

Process Variable: num_comp

Process Variable: pef

Process Variable: piccomp

Process Variable: prose_im

Process Variable: raven

Process Variable: rotate

Process Variable: serial7

Process Variable: symbol

Process Variable: synonyms

Process Variable: tics

Process Variable: trailsb

Process Variable: tug

Process Variable: waisgeneral

Process Variable: waisvocab

Process Variable: word_de

Process Variable: word_im

Process Variable: word_rec

Session Information

For the sake of documentation and reproducibility, the current report was rendered on a system using the following software.

Report rendered by Will at 2016-06-29, 12:32 -0500

R version 3.3.1 Patched (2016-06-24 r70831)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] ggplot2_2.1.0 magrittr_1.5  knitr_1.13   

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.5        testit_0.5.1       munsell_0.4.3      colorspace_1.2-6   R6_2.1.2           highr_0.6         
 [7] stringr_1.0.0      plyr_1.8.4         dplyr_0.5.0        tools_3.3.1        DT_0.1             grid_3.3.1        
[13] gtable_0.2.0       DBI_0.4-1          htmltools_0.3.5    lazyeval_0.2.0     yaml_2.1.13        digest_0.6.9      
[19] assertthat_0.1     tibble_1.0         reshape2_1.4.1     readr_0.2.2        formatR_1.4        tidyr_0.5.1       
[25] htmlwidgets_0.6    evaluate_0.9       rmarkdown_0.9.6.14 labeling_0.3       stringi_1.1.1      scales_0.4.0      
[31] jsonlite_0.9.22

Growth Curve Report #1

Date: 2016-06-29