Date:         Tue, 13 Mar 2007 11:22:24 -0500
Reply-To:     Dan Zetu <dzetu@hotmail.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Dan Zetu <dzetu@hotmail.com>
Subject:      Re: RECODE question
Comments: To: tricia-seifert@uiowa.edu
In-Reply-To:  <20070313103705.1g6jto56sgg8k4og@webmail.uiowa.edu>
Content-Type: text/plain; format=flowed

You could create a dummy called "Missing", which is 1 if income is missing
and 0 otherwise. This way, you wouldn't lose any cases, although I don't
know what value that may add to your model (unless there is a pattern for
missing Income and losing these cases may affect other variables).

Dan

>From: Tricia Seifert <tricia-seifert@uiowa.edu>
>Reply-To: Tricia Seifert <tricia-seifert@uiowa.edu>
>To: SPSSX-L@LISTSERV.UGA.EDU
>Subject: RECODE question
>Date: Tue, 13 Mar 2007 10:37:05 -0500
>
>Hello,
>I was wondering if someone would be able to help me through a recode
>question.  I have a question that asks respondents to report their
>parents income.  The response categories are the following:
>1 = Less than $14,999, 4.2%
>2 = $15,000 - $24,999, 4.0%
>3 = $25,000 - $34,999, 6.0%
>4 = $35,000 - $49,999, 8.5%
>5 = $50,000 - $74,999, 17.3%
>6 = $75,000 - $99,999, 15.2%
>7 = $100,000 - $199,999, 22.6%
>8 = $200,000 - $299,999, 5.5%
>9 = $300,000 or more, 5.1%
>0 = Not applicable, 9.5%
>MISSING = 2.0%
>
>The overall goal is to be able to run a regression in which I don't
>lose any cases.  Does anyone have any suggestions to do this?  I
>greatly appreciate any thoughts or suggestions.  I've thought about
>recoding into several dummy variables but I can't seem to eliminate
>the missing data from the parents income variable, which is the
>variable with the most variability.
>
>I was also wondering if anyone knows of any standard in how to recode
>the largest response category in which no upper limit is specified.
>For example, response option 9 is for those whose parents earn
>$300,000 or more.  Any suggestions as to how I should set this to a
>midpoint?
>
>Again, thanks for any help that you provide in this matter.
>Best,
>Tricia Seifert
>Postdoctoral Research Scholar
>Center for Research on Undergraduate Education
>University of Iowa
>N438 Lindquist Center (physical address)
>N491 Lindquist Center (mailing address)
>Iowa City, IA 52242
>319-335-5377

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