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A variance of a factor of about 80 could be observed.
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In particular, the estimate of a variance component for a factor with a small number of levels will tend to be high.
In our model, the variance of a single factor was 18.36% indicating there is no common method bias.
This results in a large average and a small variance of the stability factor for SF-OnPeak.
As the data were paired for individuals, an initial analysis using a two-tailed paired sample t-test was used, which was followed by a two-factor analysis of variance with a factor for vignette and a factor for participant to test for overall differences across the vignettes.
Doing so, we have an important reduction of the variance (by a factor 50 to 100), with a moderate increase of computational cost (by a factor 2 to 8).
A tolerance value of ≤ 0.20 and a variance inflation factor of ≥10 were used to indicate a multicollinearity problem [ 63].
Results: Within-child variance exceeded between-child variance by a factor of two to eight, depending on metabolite grouping.
With 15 clusters including five patients each (in total 75 patients) and a variance inflation factor of 1.16 a sample size of 88 will be needed.
The PCA was first run on 4441 unrelated Dutch individuals typed on the Affymetrix Human Genome-Wide SNP 6.0 Array (Affymetrix Inc., Santa Clara, CA, USA), with a SNP set excluding 24 long-range LD regions and LD-based SNP pruning (based on a variance inflation factor of 2), resulting in a set of 130 248 SNPs.
We used a Variance Inflation Factor of 2, which estimates an average cluster size of 2 and within cluster correlation ρ = 1.
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