Impact of a complex gender-transformative intervention on maternal and child health outcomes in the eastern Democratic Republic of Congo: protocol of a longitudinal parallel mixed-methods study

Table 3 Power calculations for child anthropometric data

Effect size	Shift of median to	ICC^a	SD of random village effect	Child in every HH	Child in 50% HH
Effect size	Shift of median to	ICC^a	SD of random village effect	Power	Power
0.27 SD	P61	0.01	0.1 SD	99%	86%
		0.02	0.14 SD	98%	84%
		0.03	0.18 SD	97%	83%
		0.04	0.21 SD	96%	81%
		0.05	0.23 SD	95%	79%
		0.10	0.33 SD	86%	–
0.25 SD	P60	0.01	0.1 SD	97%	80%
		0.02	0.14 SD	96%	78%
		0.03	0.18 SD	95%	77%
		0.04	0.21 SD	93%	75%
		0.05	0.23 SD	91%	73%
		0.10	0.33 SD	80%	–
0.2 SD	P58	0.01	0.1 SD	88%	–
		0.02	0.14 SD	84%	–
		0.03	0.18 SD	81%	–
		0.04	0.21 SD	78%	–
		0.05	0.23 SD	75%	–

Table 3 gives the achievable power for different effect sizes and intra class correlation coefficients. The expected power is given both under the assumption that a) a child under 5 years old will be found in each household, and b) that a child under 5 years old is found only in every other household. Intra-class coefficients reported in other African contexts range from 0.01 to 0.05
SD standard deviation of individual growth rates
^aProportion of variance explained by the factor village

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