Posted by
Henrik Lolle on
Jan 04, 2010; 12:35pm
URL: http://spssx-discussion.165.s1.nabble.com/cronbach-alpha-for-binary-responses-tp1086058p1086061.html
Dear Humphrey,
I think that your text is a bit confusing. For instance, when you write
"that regression is an unnecessary and useless statistical development.
There is nothing regression does that correlation cannot do!!!", this
will be understood as a general statement about the comparison of the
two methods. But then you also write that "I cant think of anything to
justify the superiority of regression over correlation here". The word
"here" indicates that you instead only write about this example of
yours, about finding the single best predictor in a series. It also
indicates that you perhaps recognize the value of linear regression on
other occasions. And what about your study overall, conserning the
relationship between EQ and job success? Would you say that you could
answer all of your questions in this study by bivariate correlation
cofficients, and that linear regression would give you no extra
knowledge?
Best,
Henrik
Quoting Humphrey Paulie <
[hidden email]>:
> Dear folks,
> I am studying the relationship between EQ and job success (JB). I
> also want to know which of the subscales of EQ is a better predictor
> of JB.
> I think I should use multiple regression.
> My colleague, however, says there is no need to take the trouble and
> complexities of regression. We can simply correlate each subscale of
> EQ with JB separately and compare the correlations. He believes that
> the subscale that has the highest correlation with JB will also turn
> out to be its best predictor in regression analysis. And that
> regression is an unnecessary and useless statistical development.
> There is nothing regression does that correlation cannot do!!! I cant
> think of anything to justify the superiority of regression over
> correlation here.
> Can you please help me justify it?
> Cheers
> Humphrey
>
>
>
>
>
>
>
************************************************************
Henrik Lolle
Department of Economics, Politics and Public Administration
Aalborg University
Fibigerstraede 1
9200 Aalborg
Phone: (+45) 99 40 81 84
************************************************************
=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD