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Date:         Mon, 23 Aug 1999 17:38:52 -0400
Reply-To:     Michele Atkinson <matkinson@DELTATRENDS.COM>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Michele Atkinson <matkinson@DELTATRENDS.COM>
Organization: DeltaTrends
Subject:      Interactions
Content-Type: text/plain; charset="us-ascii"

I'm looking at one of our surveys questions that asks about overall satisfaction. I want to look at whether there are differences among departments from 98 to 99. It looks like all departments, except for two, increased from 98 to 99. I ran a univariate analysis to test for interaction. These are the results:

Tests of Between-Subjects Effects Dependent Variable: 44 Source Type III Sum of Squares df Mean Square F Sig. Corrected Model 359.636 13 27.664 36.033 .000 Intercept 89702.230 1 89702.230 116838.762 .000 DEPART 328.651 6 54.775 71.346 .000 YEAR 3.569 1 3.569 4.649 .031 DEPART * YEAR 16.718 6 2.786 3.629 .001 Error 6237.150 8124 .768 Total 140868.000 8138 Corrected Total 6596.786 8137 a R Squared = .055 (Adjusted R Squared = .053)

My questions is in regards to the Sig. If I am interpreting this correctly I would say there is significant interaction between department and year. Is this correct? If it is, does it apply to all possibilities? For example, both Service and Body Shop have a lower mean in 99 compared to 98. Is this the interaction? Are the differences between means significant based on the above table or do I have to do further analysis? My goal is to be able to state: In general satisfaction has increased by department except for service and body shop. (or make a correct conclusion based on the data, whatever that happens to be :)

Any insights are greatly appreciated.

Thanks, Michele

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