Sentence examples for criterion retention from inspiring English sources

Both Cattell's Scree plot method [ 22] and Kaiser's criterion (retention of factors with eigenvalues greater than one) [ 23] were used to determine the number of factors to extract.

Items with factor loadings < .40 are highlighted.> -wrap-foot> Items with factor loadings lower than.40 criterion retention are shown in bold.

To determine the optimal number of factors to retain in the PCA, the interpretability of the factor loadings, Kaiser's criterion (retention of factors with eigenvalues greater than 1.0), and the scree test were utilized.

Instead of using an objective response function, combined models were built for elementary chromatographic criteria (retention factors, resolution and relative retention) of each solute or pair of solutes and, after their validation, the global separation was accomplished by means of Derringer's desirability functions.

Results were reported only if they met qualitative GC/MS criteria (retention time, mass spectrometric ion-abundance ratios, and mass spectra) before being quantitated based on a 5−8 point calibration curve.

Most criteria reflecting the internal validity of studies were met by a majority of studies, with the exception of three internal validity criteria: retention, reporting a rationale for sample size and conducting analyses with consideration for missing data that maintained the fidelity of the randomisation.

Variables with p less than 0.1 in univariate analysis were then used as independent variables in a stepwise logistic regression analysis, with a p less than 0.05 criterion for retention of variables in the final model.

The criteria for feasibility were met after increasing the maximum age limit of the successful recruitment criterion; participant retention, safety and effectiveness criteria were also met.

The criterion for retention of variables in the model was P < 0.20, which ensured high power for inclusion of variables with somewhat weaker predictive effects [ 14].

Second, the optimized parallel analysis [ 55] was used as a criterion for retention, comparing the eigenvalues obtained from the analysis with those obtained from 1000 randomly generated polychoric correlation matrices.

After normalization, one final quality-control filter was applied in which genes showing excessive biologic variability were discarded; the criterion for retention was that more than half of the eight treatment × region groupings had to have coefficients of variation < 30%.