. Author manuscript; available in PMC: 2022 Mar 1.

Published in final edited form as: Assessment. 2019 Nov 3;28(2):380–394. doi: 10.1177/1073191119872247

Table 5.

Conditional Multivariate Model With Demographic Characteristics Predicting Intercepts.

	Model parameter (intercept)
	PR IN	PR SCT	TR IN	TR SCT
Demographic predictor	β (SE)	β (SE)	β (SE)	β (SE)
Male	−.025 (.069)	−.051 (.064)	.383 (.076)***	−.078 (.078)
African American	−.031 (.066)	.111 (.066)	.342 (.076)***	−.202 (.077)**
Parental Education	−.041 (.069)	−.124 (.056)*	−.073 (.062)	−.230 (.062)***
Income-to-Needs Ratio	−.053 (.065)	−.104 (.061)	−.089 (.070)	−.119 (.071)
Parental ADHD	−.014 (.073)	.110 (.080)	.099 (.109)	.038 (.115)

Note. ADHD = attention-deficit/hyperactivity disorder; SCT = sluggish cognitive tempo behavior severity; β = partial standardized regression coefficient; SE = standard error; PR = parent rated; TR = teacher rated; IN = inattention behavior severity; CFI = comparative fit index; TLI = Tucker-Lewis Index; RMSEA = root mean square error of approximation. Intercept parameters for IN and SCT were regressed on the demographic predictors. Income-to-needs ratio ranges from 0 to 15. Overall model fit: χ² (266) = 606.571, p < .001, CFI = .958, TLI = .948, RMSEA = .033 [90% CI: .030, .037].