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The test of differences between different models was carried out using a chi squared test.
Hypothesis test of differences between groups are carried out by a Mann-Whitney-U-Test in R. Swab and tissue samples were tested with TaqMan one-step real-time RT-PCR assays targeting the influenza A virus M gene [18] and an H5 subtype gene fragment [19] using the SuperScript III One-step RT-PCR kit with Platinum Taq DNA polymerase (Invitrogen) on a MX3000P Real-Time PCR System (Stratagene).
The chi-square test of differences indicated that the metric invariance model (model 1) fitted worse than the configural model.
The chi-square test of differences indicated that the scalar invariance model testing for boys and girls (model 2) fitted worse than model 1.
The results for model 2 that tested scalar invariance indicated a poorer fit compared to the previous model: the chi-square test of differences was significant, the BIC value was higher than the one obtained for model 1 and the ΔCFI was higher than.01.
We used the multiresponse permutation procedure (MRPP), a non parametric test of differences between predefined groups [31].
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Again, these differences are statistically significant under a one-side T test of difference of means.
The three models were compared using the R-test and the test of difference in Brier scores.
These differences in the size distribution between countries of low and high TFP are statistically significant under a one-side T test of difference of means.
Data were analyzed using a Dunnett's test of difference from control to determine the effects of the enzyme.
The results of the test of difference between two proportions yielded statistically significant differences between the service improvement measures suggested by passengers and those recommended by management.
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