```Date: Tue, 21 Jun 2011 16:51:34 -0500 Reply-To: "Steve Simon, P.Mean Consulting" Sender: "SPSSX(r) Discussion" From: "Steve Simon, P.Mean Consulting" Subject: Re: mixed models - time as DV Comments: To: "Parise, Carol A." In-Reply-To: Content-Type: text/plain; charset=ISO-8859-1; format=flowed On 6/21/2011 4:40 PM, Parise, Carol A. wrote: > This one of probably many questions i will likely be posting on using > linear mixed models over the next few months. It's my first crack at > using this and i'm slowly working through the lingo by reading as > much as I can. I read the SPSS technical report on this and i found > an example from nice little article that i am using to mess with my > data. http://www.indiana.edu/~statmath/stat/all/hlm/hlm.pdf > > The article explains the interpretation of the intercept term in the > empty model is equivalent to the overall math achievement score. > > My data have time in hh:mm:ss as the DV. > > In my sample analysis, the scale of the intercept is not in hh:mm:ss > and i can't seem to adjust to to be in this format with the "cell > properties" when i click on the output. > > It would be really helpful to have the correct scale versus just the > p-value for interpretation purposes. Anyone have thoughts on how I > can do this? Using time as a dependent variable is rather unusual. Are you sure this makes sense from a scientific perspective. Do you expect the time to be a random variable? Do you expect a normal distribution of time values around some value? Frequently, when time to an event is the variable of interest, you are often going to want a survival analysis. Without knowing more about the purpose of your research, of course, I can only speculate. If it does make sense to use time and a dependent variable, then the logical thing to do is to convert from a time value (which represents the number of seconds since October 14, 1582) to a different value, such as the number of seconds since the start of your study. Steve Simon, net@pmean.com, Standard Disclaimer. Sign up for the Monthly Mean, the newsletter that dares to call itself average at www.pmean.com/news ===================== 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 ```

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