Sentence examples for rotation methods from inspiring English sources

The correlation between the two components was significant (r = 0.62, p < 0.01); thus, oblique rotation methods seemed to be appropriate.

In the principal component analyses, the varimax rotation using orthogonal rotation methods was used instead of those with the oblique rotation because the orthogonal rotation methods assume the factors are uncorrelated, while the oblique rotation methods assume the correlation among the factors in the analysis (Gorsuch 1983).

Different statistical techniques such as Exploratory Factor Analysis (with Varimax and Procrustes rotation methods) and Confirmatory Factor Analyses were used.

The oblique rotation is selected as it represents exploratory factoring more accurately than orthogonal rotation methods which are preferred when confirming models.

Four PCs were extracted by varimax rotation methods (Singh et al. 2004, 2005; Herojeet et al. 2016) which explains about 81.2 and 83.6% of the total variance, respectively, for pre and post monsoon seasons.

Additionally, Park (2014) pointed out that the use of orthogonal rotation techniques like varimax should be reconsidered because those rotation methods assume that components of the measure are independent of each other (Field 2013).

To obtain more interpretable results, factor solution was rotated using Varimax rotation method with Kaiser normalization.

Factors were rotated using the oblique rotation method (promax).

For interpretation, principal components were rotated using the varimax rotation method, an orthogonal rotation procedure.

Many modern tires have a specific rotational direction and corresponding rotation method.

The varimax rotation method was used to extract the rotated factor.