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Date:         Mon, 21 Jan 2008 21:05:08 -0500
Reply-To:     Richard Ristow <>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Richard Ristow <>
Subject:      Re: Dummy Coding and Interpreting Regression Analysis
Comments: To: Justin Meyer <>
In-Reply-To:  <2BDDE596EB04B6459ADDF6592D8AE3105CC91E@rowlandsrvr.Rowland
Content-Type: text/plain; charset="us-ascii"; format=flowed

At 03:36 PM 1/18/2008, Justin Meyer wrote:

>I am working to determine if a subjective rating of schools' >implementation is a predictor of posttest score for students in >those schools. For the subjective rating of schools' implementation, >schools are rated as tier 1, 2, or 3, with 1 being the best >implementation and 3 being the worst. I am using a regression >analysis, entering all of the variables at the same time. Because >the tier status consists of three possible responses, I dummy coded >it into two variables. The first variable is 1 for "Tier 2", 0 for >"not Tier 2". The second variable is 1 for "Tier 3", and 0 for "not >Tier 3". Is this the correct way to code this variable for a >regression analysis?

It is certainly correct; there are some variations, that are also correct.

>I found a b (unstandardized coefficient) of -10.269 for Tier 2 and >21.171 for Tier 3. Does this mean that, when all other variables are >equal, students in Tier 2 score an average of 10 points less on the >posttest and students in Tier 3 score an average of 21 points more >on the posttest when compared to Tier 1?

It means exactly that. However, don't forget that these estimates should be expressed as confidence intervals: "95% confidence interval is...", and give the range. The 95% confidence interval is the estimated value, +/- twice the standard error of estimate.

>The output from the regression, except for charts, is pasted below:

Thank you for that. However, you may see that it came through with so many line-breaks added, that one can't do much with it.

So, does this get you farther?

-Best of luck, Richard Ristow

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