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Convergent and discriminant validities were evaluated using the average variance extracted.
Discriminant validity of each construct was tested using the average variance extracted (AVE) and ranged from.611 to.902.
Fornell and Larcker [ 77] suggest using the average variance extracted (AVE) as a criterion of convergent validity.
Fornell and Larcker [ 55] suggested using the average variance extracted (AVE) as a measure of convergent validity.
Convergent validity was assessed using the Average Variance Extracted (AVE) [ 35, 38] and values of AVE ≥ .50 were considered adequate [ 27].
The convergent validity is evaluated using the average variance extracted: AVE = (∑λ i )/(∑λ i ) + (∑v [δ i ]); where λ i = completely standardised factor loading for item i; ∑v [δ i ] = completely standardised error variance for item i. *) Passive behaviour: the scale values were reversed so that high scores reflect high levels of health motivation.
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We use the average variance extracted (AVE) to assess the main variables.
Additive genetic and residual variances were estimated using the average information restricted maximum likelihood procedure.
Because the ER QTL make relative (not absolute) predictions about within-strain variation, we used the average within-strain varatioe ratio for genes not predicted to be different between the two strains as a baseline for comparison to our predictions (to account for the possibility that one strain tends to be more variable in general than the other, which would skew the confirmation results).
By systematically increasing the number of sets used to calculate the average variance, we estimated the number of samples required for the variance to settle.
We use the average and the variance of the stability factor to reveal the evolving features of the biggest connected component.
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