Cronbach's alpha refers to a coefficient of reliability. This can be written as a purpose of the number of test items and its average inter-correlation. Cronbach's alpha commonly increases as the correlation of the items increase.
In the context of regression, it is the y-intercept: the value of the dependent variable when the independent is zero.
In statistics, this is the symbol for the "Variance"
Before conducting a significance test, the statistician will choose an alpha level. Depending upon the severity of having type I or type II error, the statistician will make the alpha level higher or lower. Generally in courts, the alpha level is .05. The other common alpha levels for significance tests are .10 and .01.
They are statistics of central tendency.
You select the alpha level based on a number of factors. One consideration is the variability of the characteristic which you are trying to measure. Another, very important criterion is the importance of the decision to be made. If the consequences of the wrong decision are dire then you want a very high alpha, otherwise you may prefer a lower alpha.
Yes
Abraham Cronbach died on 1965-04-02.
Abraham Cronbach was born on 1882-02-15.
Lee Cronbach died on 2001-10-01.
Lee Cronbach was born on 1916-04-22.
In the context of regression, it is the y-intercept: the value of the dependent variable when the independent is zero.
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Typically most researchers will want Cronbach's alpha even those Guttman's lambda 4 is better. So to answer your question lambda 4 would be best for reliability but most people use Cronbach's alpha and is generally accepted.
It's "kron-bock" Old Swabbie
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
Oh, dude, you're hitting me with the science stuff! So, like, both deuterons and alpha particles are nuclei, right? Deuterons are made up of a proton and a neutron, while alpha particles have two protons and two neutrons. So, the statistics that apply to them would be nuclear physics statistics, like nuclear spin, energy levels, and decay modes. Hope that helps!
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.