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Significance of fixed effects was tested using the Wald Test.
Model significance was tested using the LRTs termed Test 1.
Serial correlation was tested using the Wooldridge test.
Heterogeneity between studies was tested using the Q statistic.
The homogeneity of variances was tested using the Levene's test.
Normality was tested using the Kolmogorov Smirnov test.
Normal distribution was tested using the Kolmogorov Smirnov test.
kThe IIA assumption was tested using the Hausman test.
The theoretical framework was tested using the Structural Equation Models.
Each parameter was tested using the following methods with three to five replicates per measurement.
Normality of data distribution was tested using the Kolmogorov-Smirnov normality test.
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