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. Author manuscript; available in PMC: 2012 Oct 2.
Published in final edited form as: J Speech Lang Hear Res. 2012 Jan 9;55(4):1112–1127. doi: 10.1044/1092-4388(2011/11-0237)

Table 2.

Multivariate analysis of variance results for CNC words and phonemes.

Multivariatec,d

Within Subjects Effect Value F Hypothesis df Error df Sig. Partial Eta Squared
visit Pillai's Trace .656 10.735 4.000 88.000 .000 .328
Wilks' Lambda .359 14.408a 4.000 86.000 .000 .401
Hotelling's Trace 1.749 18.366 4.000 84.000 .000 .467
Roy's Largest Root 1.726 37.970b 2.000 44.000 .000 .633

measure Pillai's Trace .105 1.233a 2.000 21.000 .312 .105
Wilks' Lambda .895 1.233a 2.000 21.000 .312 .105
Hotelling's Trace .117 1.233a 2.000 21.000 .312 .105
Roy's Largest Root .117 1.233a 2.000 21.000 .312 .105

visit * measure Pillai's Trace .128 1.503 4.000 88.000 .208 .064
Wilks' Lambda .875 1.489a 4.000 86.000 .213 .065
Hotelling's Trace .140 1.474 4.000 84.000 .217 .066
Roy's Largest Root .115 2.525b 2.000 44.000 .092 .103
a

Exact statistic

b

The statistic is an upper bound on F that yields a lower bound on the significance level.

c

Design: Intercept

Within Subjects Design: visit + measure + visit * measure

d

Tests are based on averaged variables.