| Date: | Tue, 8 Nov 2005 18:17:15 +0100 |
| Reply-To: | Marta García-Granero
<biostatistics@terra.es> |
| Sender: | "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU> |
| From: | Marta García-Granero
<biostatistics@terra.es> |
| Organization: | Asesoría Bioestadística |
| Subject: | Re: Basic nonparametric setup q |
| In-Reply-To: | <BF95ED2D.2CBA%frose@palomar.edu> |
| Content-Type: | text/plain; charset=ISO-8859-1 |
Hello Fred
FERPD> I don¹t use nonparametrics very often and am having difficulty with what I
FERPD> assume is a basic problem.
FERPD> Scenario: Study of helping behavior under 2 crossed conditions: Gender
FERPD> and Risk. Data are setup like so:
FERPD> Gender Risk Help?
FERPD> M High No
FERPD> M High No
FERPD> M Low Yes
FERPD> M Low Yes
FERPD> F High Yes
FERPD> F High Yes
FERPD> F Low Yes
FERPD> F Low Yes
FERPD> First, is this the proper way to setup the data?
Yes
FERPD> Second, what is the proper
FERPD> nonparametric test for this scenario? I am most interested in an
FERPD> interaction between Gender and Risk, if that is even possible. Otherwise,
FERPD> whatever will help identify main effects of gender and risk on helping
FERPD> behavior.
Use multiple logistic regression or a stratified crosstabs:
* Simulated data (replace by your own) *.
DATA LIST LIST/Gender(A1) Risk(A4) Help(A3).
BEGIN DATA
M High No
M High Yes
M Low Yes
M Low Yes
F High No
F High Yes
F Low Yes
F Low Yes
M High Yes
M High Yes
M Low No
M Low No
F High No
F High No
F Low No
F Low No
END DATA.
* Using logistic regression *.
LOGISTIC REGRESSION VARIABLES=Help
/METHOD = ENTER Gender Risk
/METHOD = ENTER Gender*Risk
/CONTRAST (Gender)=Indicator
/CONTRAST (Risk)=Indicator
/PRINT = CI(95).
* Using a stratified analysis *.
CROSSTABS
/TABLES=Help BY Risk BY Gender
/FORMAT= AVALUE TABLES
/STATISTIC=CHISQ RISK CMH(1)
/CELLS= COUNT
/COUNT ROUND CELL .
Both methods will test the significance of the interaction between
gender and risk
Regards,
Marta García-Granero mailto:biostatistics@terra.es
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