Skip to main content
. 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 6.

ANOVA Results of the Incomplete Data Set From McArdle and Nesselroade (1994), Using Listwise Deletion, Full Information Maximum Likelihood, Five Imputations, and 100 imputations. Significant Effects are Printed in Bold.

Effect Results obtained from: dfbetween dfwithin F p λ̅
Intercept Listwise deletion 1 22 824.29 <.001 -
FIML 31 1266.98 <.001 -
5 imputations 29 1270.61 <.001 .02
100 imputations 29 1296.90 <.001 .02


Per imputed data set 31 - - -

Task Listwise deletion 6 132 7.24 <.001 -
FIML 189 7.12 <.001 -
5 imputations 176 7.15 <.001 .06
100 imputations 184 7.24 <.001 .05


Per imputed data set 186 - - -

Week Listwise deletion 2 44 7.74 <.01 -
FIML 52 5.22 <.01 -
5 imputations 57 4.19 .02 .04
100 imputations 60 4.26 .02 .08


Per imputed data set 62 - - -

Task × Week Listwise deletion 12 264 0.90 .55 -
FIML 354 0.76 .69 -
5 imputations 347 0.65 .80 .08
100 imputations 369 0.55 .88 .08


Per imputed data set 372 - - -