Resulting factors are called Second-order factors
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What is factor analysis?</h3>
- Factor analysis is a statistical approach for describing variability in seen, correlated variables in terms of a possibly smaller number of unobserved variables known as factors.
- It is possible, for example, that fluctuations in six known variables mostly reflect variations in two unseen (underlying) variables.
- Factor analysis looks for such joint fluctuations in response to latent variables that are not noticed.
- Factor analysis may be regarded of as a specific form of errors-in-variables models since the observed variables are described as linear combinations of the possible factors plus "error" terms.
- It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.
- It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.
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The main term of reference in the index is Aneurysm
Extra cranial carotid artery aneurysms ruptures when the blood clots are formed in them. The term aneurysms is a disease that is happening due to the weakness in the wall of artery. The weakened arteries widens out or swells.
The correct option is this: A STUDY BY DR BIRDIE SHOWED THAT THE NUMBER OF SONGBIRDS IN HER YARD INCREASED DUE TO A MODIFIED FOOD SOURCE.
A scientific claim refers to a claim that is made by a scientist due to the result that he or she obtained in the research that are conducted. In the excerpt given above, it can be seen that Dr Birdie experience influx of songbirds to her yard as a result of the dried apple and the raising that she added to the birds' food.
