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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An acid rain is a type of rain or precipitation that has a high level of hydrogen ions resulting in low pH. It can prevent growth of seedlings because it hinders the cell division of plants. Since animals consume plants, they can establish new dietary habits or migrate to areas that have a healthier environment.
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People who acquire advantageous features have a greater chance of surviving, whereas individuals who have less useful traits are weeded out by natural selection. The higher the diversity of characteristics in a population, the greater the population's chances of survival.
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Escribirlo en español por favor.?
