Resulting factors are called Second-order factors
<h3>
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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<span>A. The African plate is breaking apart to form two separate plates.</span>
Answer:
La saliva se compone de agua en un 99%, pero cumple un papel clave no solo para mantener la salud de la cavidad oral, sino también para la correcta deglución y digestión de los alimentos. Conoce sus funciones.
If the pacific ocean was rimmed by the ring of fire we can conclude that the plate boundaries are constantly moving
