I have a statistic, ( β = -.61, t(104) = -5.07, p < .001) . It is in an article I am reading along with others like it. I am seeking to interpret it and the others. What is the relationship between β and b, and where is each found in the outcomes in SPSS? As I have read b in the equation y = a + b(x) is the slope of the line and is the unstandardized coefficient for the dependent variable or of the dependent variable. In the equation, a is the y-intercept. If I understand correctly then x is the function of b that is used to determine the specific interception or point of a and b. But what is β?
Thanks, Ivan
I had read this previously. Still had questions. The answers here and also the answer which called the Latin script B the Standardized Beta, I believe is the answer that I was looking for. So thanks for the answers.
Some people use these interchangeably. SPSS uses b for unstandardized and β for standardized coefficients, but in other contexts I see people use β to represent unstandardized coefficients as well. My recommendation nowadays is just to always specify which kind of coefficient you are talking about (e.g., if I'm writing a paper, I specifically say if I'm reporting standardized coefficients).
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