Eigenvalues for the first three components, through CIM, EM, and MI imputations methods, through different missing data ratios.: Eigenvalues for the first component, : the ratio between the first and the second components eigenvalues, : the ratio between the difference of the first and second eigenvalues and the difference of the second and third eigenvalues.

Eigenvalues for the first three components, through CIM, EM, and MI imputations methods, through different missing data ratios.: Eigenvalues for the first component, : the ratio between the first and the second components eigenvalues, : the ratio between the difference of...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ayman Omar Baniamer (21222249) (author)
منشور في:	2025
الموضوعات:	Genetics Evolutionary Biology Statistics Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified corrected item mean corrected correlation coefficients study addresses one div >< p unidimensionality indicators increased missing data rates missing data plays unidimensionality </ p missing data study concluded data analysis statistical models significant amount pivotal role multiple imputation imputation methods factor analysis expectation maximization essential tools eigenvalues (, cumulative variance cronbach ’ communalities ).
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