Annette

I agree with other answers that you have seen for your technical
questions but want to add something to the answers for the question
about using the terms independent and dependent variable in
correlational studies. Like others I prefer to use the terms predictor
and criterion variables in these designs and I teach my students this
usage. However, SPSS fosters the use of the terms IV and DV in their
multiple regression procedure where the text box for the predictor
variables is labeled "Independent(s)" and the text box for the criterion
variable is labeled "Dependent." It is one of the few procedures in SPSS
that uses these terms. This mismatch forces me to spend a few extra
minutes telling students why the programmers at SPSS might have used
those terms and then identifying the appropriate parallels. 

Dennis  

Dennis M. Goff 
Chair, Department of Psychology
Professor of Psychology
Randolph College (Founded as Randolph-Macon Woman's College in 1891)
Lynchburg VA 24503
[EMAIL PROTECTED]

-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] 
Sent: Sunday, September 07, 2008 4:16 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: [tips] Several questions

(1) I talk with my intro students about the misconception that mentally
ill 
people generally have a history of violence. And the research evidence
seems to 
support this. But in thinking about where the misconception comes from,
would 
it not be correct to say that most people with a history of violence
have had a 
mental illness? In other words, could one be violent or have unmotivated

violence and not be mentally ill?

A more technical set of questions

(1) Is it proper to talk about independent and dependent variables in a 
correlational study? And to what extent? Isn't it *more* correct to call
the 
variables predictor and criterion variables?What is the current status
of this 
language?

(2) I have learned that a rule of thumb for evaluating the effect size
of a 
significant correlation is to square r and this is a crude indicator of
how much of 
the variability in the criterion variable comes from the predictor
variable. I'd like 
to hear if this is too crude to be useable. Is there another, readily
calculable 
effect size? I am very bothered by studies that make a big deal of a
significant 
correlation of .2 or .3.

Thanks

Annette



 
Annette Kujawski Taylor, Ph.D.
Professor of Psychology
University of San Diego
5998 Alcala Park
San Diego, CA 92110
619-260-4006
[EMAIL PROTECTED]

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