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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Here is your answer I hope it was useful: a striation is any of a number of tiny parallel grooves such as: the scratches left by a glacier on rocks or the streaks or ridges in muscle tissue. Your answer is yes, there are striation across the width of a muscle.
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The strategy is to look for unique processes that occur in virus infected cells but not uninfected cells. Look at some of the enzymes encoded by viruses, and the processes they catalyze to find ideas for inhibiting virus replication.Antiviral drug<span>, </span><span>any agent that is used in the </span>treatment<span> of an </span>infectious disease<span> caused by a </span>virus. Viruses are responsible for illnesses such as HIV/AIDS<span>, </span>influenza<span>, </span>herpes simplex<span> type I (cold sores of the mouth) and type II (genital herpes), </span>herpes zoster<span> (shingles), viral </span>hepatitis<span>, </span>encephalitis<span>, infectious </span>mononucleosis<span>, and the </span>common cold<span>.</span>
