Main Features

Here are some of the advanced features of the new iFactorAnalysis app

Advanced Factor Retention

iFactorAnalysis app is equiped with built-in advanced factor retention methods including variants of Horn’s Parallel Analysis (PA) and variants of Velicer’s Minimum Average Partials (MAP).
For example, Parallel Analysis, configurable for up to 10,000 random-generated datasets, can be generated, archived and simulated eigenvalues based on various averaging criteria such as mean, median (0.5 quartile), 0.75, 0.90, 0.95 quartiles, can be analyzed and plotted along with real eigenvalues.

Advanced Factor Rotation

iFactorAnalysis app has a plethora of factor rotation methods including orthogonal rotations such as Varimax, Orthomax, Quartimax and non-orthogonal (oblique) rotations such as direct oblimin.
Rotations can be configured at the project level, or can be analyzed interactively, allowing user to experiment with different rotations methods and parameters and display full textual & graphical output, including the rotation matrix used in transformation.

Factor Scores Computations

iFactorAnalysis app includes factor scores methods ranging from the default Thurstone’s regression method (default method in most statistical packages) to the advanced Bartlett’s method and the sophisticated Anderson-Rubin method.
Factor scores can be configured at the project level, or can be analyzed interactively, allowing user to experiment with different factor scores methods and parameters as well as different rotations.

Extensive Feasibility Tests

iFactorAnalysis app provides several state-of-the-art factor feasibility tests such as the Kaiser-Meyer-Olkin (KMO) Sampling Adequacy test and the Bartlett’s Sphericity test.
The app also provide data consistency test such as the Cronbach’s α (alpha).