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The percent of total variation explained by each factor is also shown.
The variance explained by each factor is the eigenvalue for that factor.
Factor-based convergent validity is established when the average variance explained (AVE) by each factor is ≥.50 [ 27].
All the unstandardized variance components of the factors are statistically significant which indicates that the amount of variance accounted for by each factor is significantly different from zero.
Thus, the critical role in X transcript regulation played by each factor is executed by countering the other factor, such that removal of both restores a closer-to-wild type X-chromosome expression level.
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The total score for each factor is obtained by multiplying the weight assigned to each attribute by the scaled value given for that attribute and then summing the products over all attributes (Drobne and Lisec 2009).
The percentage contribution of each factor is determined by the analysis of variance (ANOVA).
Significance of each factor is indicated by P-value in the given analysis.
The Incidence Rate Ratio (IRR) of each factor is obtained by exponentiating its coefficient.
The contribution of each factor is expressed by the regression coefficient and the standard error (SE).
In our experimental design, each of our k factors, namely, cross, sex, and age has two levels, and each factor is represented by n rep replicates, therefore n corresponds to 2 k × n rep observations.
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