alpha coefficient

There was an alpha coefficient of 0.7 for this scale.

It can be shown that in an efficient market, the expected value of the alpha coefficient is zero.

Therefore the alpha coefficient indicates how an investment has performed after accounting for the risk it involved:

Generally, researchers agree that a Cronbach's alpha coefficient above 0.80 suggests strong reliability in a scale.

The minimum acceptable alpha coefficient should be chosen according to the importance of the conclusions to be drawn from imperfect data.

The diagonal line is typically filled in with a reliability coefficient of the measure (e.g. alpha coefficient).

The alpha coefficient () is a parameter in the capital asset pricing model (CAPM).

The alpha coefficient is especially useful during test development because it gives a measure of how each item is contributing to the scale to which it has been assigned.

Krippendorff's alpha coefficient is a statistical measure of the agreement achieved when coding a set of units of analysis in terms of the values of a variable.

This index acknowledges that the null-hypothesis (of chance agreement) is so far removed from the range of relevant alpha coefficients that its rejection would mean little regarding how reliable given data are.

The internal consistency for the BDI-IA was good, with a Cronbach's alpha coefficient of around 0.85, meaning that the items on the inventory are highly correlated with each other.

Using statistics, a Cronbach's alpha coefficient can be calculated to indicate whether items on a scale seem to be measuring the same psychological construct or dimension (demonstrating the retestability of a scale).

Another benefit of the GT approach is that the reliability coefficient derived from the GT analysis is equivalent to Cronbach's alpha coefficient which, for binary items, is equivalent to the KR-20 reliability coefficient.

According to this model, the return of any stock can be decomposed into the expected excess return of the individual stock due to firm-specific factors, commonly denoted by its alpha coefficient (α), the return due to macroeconomic events that affect the market, and the unexpected microeconomic events that affect only the firm.