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. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: Multivariate Behav Res. 2014 Feb 18;49(1):78–91. doi: 10.1080/00273171.2013.855890

Table 3.

ANOVA Results of the Incomplete Data Set From the NICHD (1996) Project, Using Listwise Deletion, Five Imputations, and 100 Imputations. Significant Effects are Printed in Bold.

Effect Results obtained
from:
dfbetween dfwithin F p λ̅
Model Listwise deletion 9 1149 21.11 <.001 -
5 imputations 670 21.69 <.001 .15
100 imputations 1318 22.69 <.001 .13

Intercept Listwise deletion 1 1149 984.63 <.001 -
5 imputations 432 969.03 <.001 .08
100 imputations 1257 1007.59 <.001 .05

Gender Listwise deletion 1 1149 3.76 >.05 -
5 imputations 655 3.94 <.05 .05
100 imputations 1194 3.69 .06 .07

Mother’s ethnicity Listwise deletion 4 1149 38.31 <.001 -
5 imputations 350 39.17 <.001 .14
100 imputations 1298 42.02 <.001 .11

Gender × Mother’s ethnicity Listwise deletion 4 1149 0.41 .80 -
5 imputations 394 0.25 .91 .13
100 imputations 1280 0.33 .86 .13

Note: dfwithin (per imputed data set; all effects) = 1354.