When performing mean corrected difference testing, we recommend that the expected information matrix is used (i.e., choice MLM), as the use of the observed information matrix (i.e., choice MLR) requires larger samples for p-values to be accurate. We recommend that the mean and variance corrected difference testing be used whenever possible. 192 Followers, 1,041 Following, 337 Posts - See Instagram photos and videos from Goran Pavlov (pavlovgor) pavlovgor. Subject Views Posted Global Protect and another VPN Client GlobalProtect Discussions. Sample size requirements for the mean corrected difference statistics increase as the degrees of freedom for difference testing increase. In contrast, the mean corrected difference statistics required larger samples for the p-values to be accurate. The mean and variance corrected difference statistics performed adequately across all conditions investigated. We evaluate the performance of five robust chi-square difference statistics in the context of confirmatory factor analysis with non-normal continuous outcomes. The relative fit of two nested models can be evaluated using a chi-square difference statistic.
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