Hi Courtney,

You could also use the GLM/UNIANOVA procedure where you will find a BY statement which corresponds to the CLASS statement in SAS. You can't ask for standardized regression coefficients here, but you probably don't need them anyway in a situation with categorical predictors.

Best, Henrik

************************************************************ Henrik Lolle Department of Economics, Politics and Public Administration Aalborg University Fibigerstraede 1 9200 Aalborg East Phone: (+45) 9635 8184 ************************************************************

Quoting Keith McCormick <keithmc123@gmail.com>:

> Hi, > > You could ... but it is going to amount to the same work. Doing so > will still allow you to do the regression in the menus - as do I. > > In Transform ... Compute, you would put the new name, dummyvar1, in > the box in the upper left and you would type the rest of the formula > in the formula box on the right. In this case, it would be Major = 1. > You will have to do this for each dummy variable. > > cheers, Keith > > On Dec 28, 2007 10:31 AM, Courtney Nichols > <nicholscourtney@hotmail.com> wrote: >> >> Hi Keith, >> Thanks so much for your help. Do you happen to know how to do the dummy >> coding without using command syntax. I've never used the syntax and just >> use the point and click interface with the dropdown menus and such. I can >> learn how to use the program with syntax if needed, but thought I'd ask if >> there is a way to do so with the menus. >> Many thanks, >> >> Courtney >> >> >> >> "The grand essentials to happiness in this life are something to do, >> something to love and something to hope for. " -- Joseph Addison >> >> >> ________________________________ >> > Date: Fri, 28 Dec 2007 03:04:03 -0500 >> > From: keithmc123@gmail.com >> > Subject: Re: putting dummy variables into regression >> > To: SPSSX-L@LISTSERV.UGA.EDU >> >> >> > >> > Hello Courtney, >> > >> > My favorite way to dummy code is the following syntax: >> > >> > COMPUTE dummy_var1 = (category_var=1). >> > >> > In practice, it might look like this: >> > >> > COMPUTE Biology_YN = (Major = 1). >> > COMPUTE Math_YN = (Major = 2). >> > etc. >> > >> > If you need an F-test for the whole set of variables (like all the >> > majors), you can put the entire set in a "block". And request Change >> > in R Sq. The Delta R Sq can serve as an overall test for the dummy >> > variables. To use a block, click on the next button when you are in >> > regression. It sounds like you have more than one categorical var, so >> > you can add a block for each one. The sequence of the blocks will make >> > a difference in the interpretation, so you will want to think that >> > through. >> > >> > Feel free to follow-up, but that should get you started. >> > >> > Hope that helps. >> > >> > Keith >> > www.keithmccormick.com >> > >> > On Dec 27, 2007 2:42 PM, Courtney Nichols <nicholscourtney@hotmail.com> >> wrote: >> > > Hello All, >> > > I apologize, I feel like this should be very simple to figure out, but >> I'm new to SPSS and regression analysis in general. I need to run a >> regression where some of my predictor variables are continuous and others >> are categorical. I'm having trouble figuring out how to include the >> categorical and need help with two things: >> > > 1) How do I get SPSS to code the categorical variables (ie education >> level) into a collection of dummy variables? (I hear there is a "class >> statement" command in SAS that does this but don't see how to do it in SPSS >> and am also not using command syntax) >> > > 2) Once I have that, what regression in the analyze menu do I run to get >> output that gives me both an overall F-test that tells me whether the >> overall categorical variable (ie education level) should remain in the model >> and beta coefficients or t-tests to interpret for each dummy (ie high >> school, some college, graduate, etc. in relation to the omitted comparison >> group)? >> > > Many thanks in advance! >> > > Courtney >> > > "The grand essentials to happiness in this life are something to do, >> something to love and something to hope for. " -- Joseph Addison >> > > >> > > _________________________________________________________________ >> > > Get the power of Windows + Web with the new Windows Live. >> > > http://www.windowslive.com?ocid=TXT_TAGHM_Wave2_powerofwindows_122007 >> > > 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 >> > > >> > >> > ===================== >> >> > 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 >> >> ________________________________ >> i'm is proud to present Cause Effect, a series about real people making a >> difference. Learn more > > ===================== > 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 >

===================== 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