What is the relationship between the b, B and the B in Latin script for the standardized and unstandardized coefficient in SPSS output. Such as in B (Latin script with a tail) = .61, t (104) = -5.07, p < .001?
The standardized regression coefficient (β) reflects the relationship between the independent and dependent variables after they have been converted to z-scores (where the mean = 0 and the standard deviation [SD] = 1), such that β reflects the average change in SD of the dependent variable given a 1 SD increment in the independent variable. Unstandardized regression coefficients (B) reflect this relationship in terms of the raw units of the variables given a 1 unit change in the predictor.
β is particularly useful for comparing the relative effects of predictors with different raw units in a multiple regression analysis. B is perhaps more intuitive if the units of the measure are well known to yourself and your potential readers. Reporting β's along with the unstandardized SD's of the variables is also an efficient means to capture both sets of information in a table.
I will add this to another set of answers on this topic. Your identification of the β as the standardized beta is very helpful. Now to incorporate this into my paper.
I would like to add more explanation with Mr. Jordan. Standardized beta value in regression is used to compare the result with population. Moreover if you want to compare your beta value with other study results, then standardized beta is the only option. Unstandardized b is the raw value of current study that is contextual. It shows the raw effect of DV for incremental IV. You can report any one of two, depends on your study objective. It is mentioned that to write the regression equation, constant value is only included when unstandardized b value is used not in care of beta value. Both cases IV coefficient must be significant.