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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Answer:
Heyya!
Human development is a slow and gradual process. There seems to be slow and gradual change that becomes abrupt change. The mind has many connections and works according to past habits. A person who seeks to improve themselves will gradually change specific areas within their life. After a while there is a cascade effect that causes linked areas to be altered. Skills and methods that required practice and habit forming transition to being a natural part of life. When the personality suddenly changes, I use the term evolution. Whenever one occurs, the person will probably see their past self as problematic.
Answer:
Okay what is the assignment?
Meiosis is a type of cell division that reduces the number of chromosomes in the parent cell by half and produces four gamete cells. This process is required to produce egg and sperm cells for sexual reproduction.
