Hello.

I write to ask if there is a way within the Generalized Linear Models (GLM) window to get a change in model deviance when adding a predictor. Below I provide the syntax and relevant output (see Step = 6.799) from imposing such a model through the Regression, Binary Logistic window. Note that "delayed" was added in a "sequential" way.

LOGISTIC REGRESSION VARIABLES cure_di /METHOD = ENTER d1 d2 d3 d4 d5 /METHOD = ENTER delayed /ORIGIN /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) .

Omnibus Tests of Model Coefficients

Chi-square

df

Sig.

Step 1

Step

6.799

1

.009

Block

6.799

1

.009

Model

46.003

6

.000

Below I provide the relevant syntax for imposing the “full” model (i.e., with “delayed”) through the GLM window. Note that "delayed" is added "simultaneously" with d1-d5.

GENLIN cure_cnt OF freq WITH delayed d1 d2 d3 d4 d5 /MODEL delayed d1 d2 d3 d4 d5 INTERCEPT=NO DISTRIBUTION=BINOMIAL LINK=LOGIT /CRITERIA METHOD=NEWTON SCALE=1 COVB=MODEL MAXITERATIONS=100 MAXSTEPHALVING=5 PCONVERGE=1E-006(ABSOLUTE) SINGULAR=1E-012 ANALYSISTYPE=3 CILEVEL=95 LIKELIHOOD=FULL /MISSING CLASSMISSING=EXCLUDE /PRINT CPS DESCRIPTIVES MODELINFO FIT SUMMARY SOLUTION(EXPONENTIATED).

I believe that I can impose the reduced model (leave out “delayed” in this case) and then take the difference between -2LL from both models to reproduce the Chi-square above. But I wonder if there is a way to get the program to do this (change in model deviance comparing the nested models) for me within the GLM window (or altering the relevant syntax)?

Responses on/off-list wil be appreciated.

Thanks for considering my question.

nick myers

----------------------------------------------------------------------------------------------------------- Nicholas D. Myers, Ph.D. University of Miami School of Education Department of Educational and Psychological Studies Research, Measurement and Evaluation program

Merrick Building 311E P.O. Box 248065 Coral Gables, FL 33124-2040

Tel: 305.284.9803 Fax: 305.284.3003 E-mail: nmyers@miami.edu http://www.education.miami.edu/facultyStaff/Faculty_Bio.asp?ID=143 -----------------------------------------------------------------------------------------------------------

===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (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