Table 3.

Hierarchical Linear Model: (A) Linear associations between the analytic decisions and the Session 1 between-run median Intraclass Correlation Coefficient (ICC[3,1]), Between-subject (BS) and Within-subject variance (WS) from supra-threshold mask and (B) the impact of the analytic category on the marginal R².

A. HLM Estimates for Supra-threshold Mask
	Median ICC(3,1)				Median BS				Median WS
Predictors	b	CI		p	b	CI		p	b	CI		p
(Intercept)	.23	.20 – .26		<.001	.27	.18 – .35		<.001	.91	.72 – 1.10		<.001
Reference [3.6]
fwhm [4.8]	.02	.01 – .04		.003	−.03	−.06 – .00		.09	−.23	−.28 – −.18		<.001
fwhm [6.0]	.04	.03 – .06		<.001	−.04	−.07 – −.01		.003	−.36	−.41 – −.31		<.001
fwhm [7.2]	.06	.04 – .07		<.001	−.06	−.09 – −.03		<.001	−.44	−.49 – −.39		<.001
fwhm [8.4]	.07	.05 – .08		<.001	−.07	−.10 – −.04		<.001	−.49	−.54 – −.44		<.001
Reference [opt1]
motion [opt2]	−.01	−.03 – .00		.07	−.04	−.06 – −.01		.01	−.14	−.18 – −.09		<.001
motion [opt3]	−.05	−.06 – −.04		<.001	−.10	−.13 – −.08		<.001	−.23	−.28 – −.19		<.001
motion [opt4]	−.05	−.06 – −.03		<.001	−.10	−.13 – −.08		<.001	−.24	−.28 – −.20		<.001
Reference [AntMod]
model [CueMod]	.10	.09 – .11		<.001	.15	.13 – .17		<.001	.26	.23 – .30		<.001
model [FixMod]	.05	.04 – .06		<.001	.12	.10 – .14		<.001	.27	.23 – .31		<.001
Reference [LgainBase]
con [LgainNeut]	−.17	−.18 – −.16		<.001	−.22	−.25 – −.19		<.001	−.28	−.32 – −.23		<.001
con [SgainBase]	−.02	−.04 – −.01		<.001	−.02	−.05 – .00		.09	.00	−.04 – .05		.93
con [SgainNeut]	−.23	−.24 – −.22		<.001	−.24	−.27 – −.21		<.001	−.31	−.35 – −.26		<.001
B. Analytic Category Model Impact
Comparison	χ2	Orig R2	New R2	∆R2	χ2	Orig R2	New R2	∆R2	χ2	Orig R2	New R2	∆R2
[Full] vs [New - fwhm]	95	.72	.69	.03	25	.47	.45	.02	384	.52	.31	.21
[Full] vs [New - motion]	81	.72	.69	.03	81	.47	.42	.05	138	.52	.46	.06
[Full] vs [New - model]	263	.72	.62	.10	162	.47	.37	.10	221	.52	.42	.10
[Full] vs [New - con]	864	.72	.17	.55	397	.47	.17	.30	285	.52	.38	.14