Table 3.

Model estimates from the linear mixed effects models analysis for each dimension. Note, response order was coded as 0–4 allowing for better interpretability of intercept. Additionally, CAQ was standardized for this analysis.

Dimension
	Fixed effects					Random effect
		Estimate	SD	z	p		variance	SD
Analogy vs. action	Intercept	.07	.1	.63	.53	Subject	1.3	1.2
	Response	−.06	.05	−1.2	.23
	CAQ	−.05	.03	−1.7	.1
	Response X CAQ	.06	.01	4.9	<.001
Whole vs parts	Convergence failure
Same vs. different action	Intercept	−.94	.11	−8.4	<.001	Subject	1.4	1.2
	Response	−.05	.05	−1.0	.31
	CAQ	.1	.03	3.4	<.001
	Response X CAQ	−.07	.01	−5.3	<.001
Concrete vs. abstract	Intercept	.75	.10	7.2	<.001	Subject	1.3	1.1
	Response	−.07	.05	−1.4	.15
	CAQ	.04	.03	1.4	.17
	Response X CAQ	−.05	.01	−4.3	<.001
Novel vs. familiar	Intercept	.01	.10	.08	.94	Subject	1.2	1.1
	Response	.01	.04	.32	.75
	CAQ	−.04	.03	−1.7	.09
	Response X CAQ	−.02	.01	−1.7	.09
Toward vs. away	Intercept	−.49	.11	−4.5	<.001	Subject	1.4	1.2
	Response	−.06	.05	−1.2	.24
	CAQ	−.12	.03	−4.4	<.001
	Response X CAQ	.03	.01	2.3	.02

Note - SD = standard deviation; z = z score; p = p value corresponding to estimate; CAQ = creativity achievement questionnaire.