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Merge pull request #25 from EducationalTestingService/update-readme
Updates to readme
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README.rst

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@@ -12,10 +12,10 @@ FactorAnalyzer
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:target: https://anaconda.org/desilinguist/factor_analyzer/
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This is a Python module to perform exploratory factor analysis, with
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optional varimax and promax rotations. Estimation can be performed using
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a minimum residual (minres) solution, or maximum likelihood estimation
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(MLE).
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This is a Python module to perform exploratory factor analysis, with several
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optional rotations. Estimation can be performed using a minimum residual
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(minres) solution (identitical to unweighted least squares), or maximum
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likelihood estimation (MLE).
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Portions of this code are ported from the excellent R library ``psych``.
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@@ -56,12 +56,23 @@ Two common types of rotations are:
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upon the varimax rotation, but ultimately allows factors to become
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correlated.
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This package includes a stand-alone Python module with a ``FactorAnalyzer()``
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This package includes a stand-alone Python module with a ``FactorAnalyzer``
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class. The class includes an ``analyze()`` method that allows users to perform
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factor analysis using either minres or MLE, with optional rotations on the factor
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loading matrices. The package also offers a stand-alone ``Rotator()`` class to
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loading matrices. The package also offers a stand-alone ``Rotator`` class to
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perform common rotations on an unrotated loading matrix.
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The following rotations options are available in both ``FactorAnalyzer``
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and ``Rotator``:
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(a) varimax (orthogonal rotation)
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(b) promax (oblique rotation)
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(c) oblimin (oblique rotation)
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(d) oblimax (orthogonal rotation)
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(e) quartimin (oblique rotation)
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(f) quartimax (orthogonal rotation)
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(g) equamax (orthogonal rotation)
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Example
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-------
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