I want to explain these outputs from the SPSS program Mauchly's Test of Sphericity"Measure: MEASURE_1EpsilonApprox. Chi-SquareGreenhouse-Within Subjects EffectMauchly's WdfSig.GeisserHuynh-FeldtLower-boundfactor1.6864.035.5467971.000.333Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportionalto an identity matrix.a. Design: Intercept + VAR1Within Subjects Design: factor1b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in theTests of Within-Subjects Effects table. Multivariate TestsPartial EtaEffectValueHypothesis dfError dfSig.Squaredfacior1Pillai's Trace.2421.067b3.00010.000.406.242variaWilks' Lambda.7581.067b3.00010.000.406.242Hotelling's Trace.3201.067b3.00010.000406.242Roy's Largest Root.3201.0673.00010.000fects406.242factor1 * VAR1Pillai's Trace.937ontraErroEffe3.2316.00022.000.020.468Wilks' Lambda2673.114b6.00020.000.025483Hotelling's Trace1.9772.9666.00018.000034.497Roy's Largest Root1.4515.320°3.00011.000.016592a. Design: Intercept + VAR1Within Subjects Design: factor1sonsb. Exact statisticubseC. The statistic is an upper bound on F that yields a lower bound on the significance level.

Given information: The output of Mauchly’s test of sphericity is given.

Answered: Tests the null hypothesis that the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a. Design: Intercept + VAR1 Within Subjects Design: factor1