. Author manuscript; available in PMC: 2016 Dec 1.

Published in final edited form as: Dev Rev. 2015 Dec 1;38:241–268. doi: 10.1016/j.dr.2015.09.001

Table 4.

Raw and adjusted logits and mean proportions DCCS versions included in multiple regression analyses.

DCCS version	k	M age^a (months)	Logit				Proportion switching
DCCS version	k	M age^a (months)	M	SE	95% CI	Adjusted M	M	Adjusted M
Child label^ˆ	9	42.39	0.10	0.25	[−0.39, 0.59]	0.48	0.53	0.62
Redundant/goal neglect^*	12	57.92	0.35	0.21	[−0.06, 0.76]	−0.36	0.59	0.41
Observation	27	48.26	0.24	0.14	[−0.04, 0.52]	0.16	0.56	0.54
Target character^*	13	45.81	1.77	0.22	[1.33, 2.20]	1.76	0.85	0.85
Reversal – unidimensional^*	14	42.64	1.19	0.23	[0.74, 1.64]	1.47	0.77	0.81
Reversal – bidimensional^ˆ	12	46.30	−0.56	0.26	[−1.07, −0.06]	−0.46	0.36	0.39

k = number of conditions; CI = confidence interval.

Predicted switching at p < .05;

^ˆ

p < .10.

Mean age of children in each condition.

Mean age and effect size (logit and proportion) are weighted by the inverse variance and a random effects variance component derived for each model. Effect sizes are converted from logits back to proportions for interpretation. See supplemental materials for descriptions of these versions.