LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (August 1999)Back to main SPSSX-L pageJoin or leave SPSSX-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
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


Back to: Top of message | Previous page | Main SPSSX-L page