Question
Differentiate between principal components analysis and factor analysis. Explain factor analysis as structure determination method.
Answer :
Word Count : 550
_____ _____ ___ ___ ______ ________ _______ ___ ______ _______.
______ _____ ____ __________ _________.
_______ ________ ___ ____ ______ _______.
_____ ____ _________ ____ _______ ____ ________.
___ ____ _______ _________ ___ ___ _______ _______ _____ _________ ___.
___ __________ ______ _____ _______ ____ ________ _______ ______.
_______ ___ ________ ____ ______ ___ _____.
_____ ______ _________ ________ _________ _____ _________ _____ ___ _________.
_________ ________ ___ _______ ________ __________.
________ _________ ____ _______ _____ _____ _________ ________ __________ ___.
__________ ________ ____ __________ ____ _______ ___ _________ ______.
_________ __________ ______ _______ ___ _________ ___ _________ ____.
_________ ______ __________ ____ ____ _____.
__________ ____ ____ ___ _________ _____ ________ __________ _____.
______ _______ ____ ____ _________ __________.
______ ____ ______ ___ _____ ________ _________ ______.
______ ____ _________ __________ ________ _____ ___ _________ _______.
________ _______ ______ ____ ____ _____ ________ ____ ________ ________ ___ _____.
____ ____ __________ ________ _____ _________ _______.
___ ______ _________ ___ ____ ___ ________ _______ ____ ____ _____ ______.
_______ _________ _________ _____ ___.
______ _______ ________ __________ ____.
________ ______ _______ ______ _______ _______ ________ ______ _____ ____ ______.
_________ _____ ___ ___ ___.
______ _______ _____ ____ ________ _____ _________ _______ ___ ________.
___ ________ ___ ________ _________ ______ _________ _________ __________ _________ _____.
_____ _________ ________ _____ _________ __________.
______ ________ _______ ___ ______ ________ ________ ___.
____ ____ _________ _______ _________ ____ _______.
_____ __________ _________ __________ _________.
________ ___ ______ ________ ______ _________ ________ _______ ___ ____ ________ ____.
_________ ___ ______ ____ __________ ____ _______ ________ _________ ____.
______ ________ ______ ______ ____ _______ _____.
_____ ___ __________ ___ __________.
_____ ______ _________ ___ ______ ___ ________ ______ ___ _____.
_______ ____ ___ ____ _______ _________ _____ _________ __________ ______ __________.
________ ______ ___ ___ ____ __________ ___ _________ _____ ____ ___ _____.
____ __________ ____ _______ __________ ___ _________ _____ ______ __________ _____.
__________ ________ _______ _____ ______ __________ __________ _____ _____ _____ _________.
_________ _________ ___ ___ _______.
_____ _________ _______ _______ ________ ________ ______.
_______ ________ _________ __________ ________ ________ ______ ___ ________.
_________ ___ ___ _________ ____ _________ ________ _______ ____ ____ ______.
______ _______ ____ ___ _______ ____ ________ ________.
______ _____ _______ _____ _________ ___ ______ _________ _______ ________ ____.
_____ ________ ____ __________ ________ ________ __________ _____ __________.
_____ ________ _______ _________ ____ _________ ______ _____ ___.
___ ___ ________ ________ ___ ___ ____ ___ ________.
_____ ________ ______ ____ _______ _____ _____ _________.
____ __________ _______ _______ _____.
____.
Skip in 10
Principal Components Analysis (PCA) and Factor Analysis (FA) are multivariate statistical techniques used to reduce the complexity of large datasets. In Informetrics and Scientometrics, both methods can be applied to identify patterns, relationships and underlying structures in bibliographic, citation, publication and research-output data. However, their objectives and statistical assumptions are different. Principal Components Analysis is primarily a data-reduction technique. It transforms a set of correlated variables into a smaller number of uncorrelated components called principal components. The first component explains the maximum possible variance in the original variables, the second explains the maximum remaining variance, and so on. PCA uses the total variance of the observed variables, including common, unique and error variance. Its main purpose is therefore to represent a
_______ _________ ___ _____ __________ _________ _____._____ _____ ___ ___ ______ ________ _______ ___ ______ _______.
______ _____ ____ __________ _________.
_______ ________ ___ ____ ______ _______.
_____ ____ _________ ____ _______ ____ ________.
___ ____ _______ _________ ___ ___ _______ _______ _____ _________ ___.
___ __________ ______ _____ _______ ____ ________ _______ ______.
_______ ___ ________ ____ ______ ___ _____.
_____ ______ _________ ________ _________ _____ _________ _____ ___ _________.
_________ ________ ___ _______ ________ __________.
________ _________ ____ _______ _____ _____ _________ ________ __________ ___.
__________ ________ ____ __________ ____ _______ ___ _________ ______.
_________ __________ ______ _______ ___ _________ ___ _________ ____.
_________ ______ __________ ____ ____ _____.
__________ ____ ____ ___ _________ _____ ________ __________ _____.
______ _______ ____ ____ _________ __________.
______ ____ ______ ___ _____ ________ _________ ______.
______ ____ _________ __________ ________ _____ ___ _________ _______.
________ _______ ______ ____ ____ _____ ________ ____ ________ ________ ___ _____.
____ ____ __________ ________ _____ _________ _______.
___ ______ _________ ___ ____ ___ ________ _______ ____ ____ _____ ______.
_______ _________ _________ _____ ___.
______ _______ ________ __________ ____.
________ ______ _______ ______ _______ _______ ________ ______ _____ ____ ______.
_________ _____ ___ ___ ___.
______ _______ _____ ____ ________ _____ _________ _______ ___ ________.
___ ________ ___ ________ _________ ______ _________ _________ __________ _________ _____.
_____ _________ ________ _____ _________ __________.
______ ________ _______ ___ ______ ________ ________ ___.
____ ____ _________ _______ _________ ____ _______.
_____ __________ _________ __________ _________.
________ ___ ______ ________ ______ _________ ________ _______ ___ ____ ________ ____.
_________ ___ ______ ____ __________ ____ _______ ________ _________ ____.
______ ________ ______ ______ ____ _______ _____.
_____ ___ __________ ___ __________.
_____ ______ _________ ___ ______ ___ ________ ______ ___ _____.
_______ ____ ___ ____ _______ _________ _____ _________ __________ ______ __________.
________ ______ ___ ___ ____ __________ ___ _________ _____ ____ ___ _____.
____ __________ ____ _______ __________ ___ _________ _____ ______ __________ _____.
__________ ________ _______ _____ ______ __________ __________ _____ _____ _____ _________.
_________ _________ ___ ___ _______.
_____ _________ _______ _______ ________ ________ ______.
_______ ________ _________ __________ ________ ________ ______ ___ ________.
_________ ___ ___ _________ ____ _________ ________ _______ ____ ____ ______.
______ _______ ____ ___ _______ ____ ________ ________.
______ _____ _______ _____ _________ ___ ______ _________ _______ ________ ____.
_____ ________ ____ __________ ________ ________ __________ _____ __________.
_____ ________ _______ _________ ____ _________ ______ _____ ___.
___ ___ ________ ________ ___ ___ ____ ___ ________.
_____ ________ ______ ____ _______ _____ _____ _________.
____ __________ _______ _______ _____.
____.
IGNOU ACADEMY
Your IGNOU journey, made easier.
- Solved Assignments
- Study Notes
- Guess Papers
- Question Papers
Continue Reading — It's Free
Sign in with Google to unlock more of this answer.
✓ Free access
✓ Unlock up to 60% of the answer
✓ No payment required
✓ Unlock up to 60% of the answer
✓ No payment required
Quick Google sign-in. No separate registration form.