Hi,
I have a dataset and our dependent variable is measured at five different time points. we want to know if there is a difference between the two groups that we are studying (control and experimental). We also want to know if the dependent variable response is changing over time. I found from various resources that a mixed model approach would be appropriate for my analysis. However, I would like to know what is the difference in the test statistic between the mixed models and repeated measures ANOVA (GLM)? do both these approaches use F-test for testing the significance effect? is there any difference in the way F-test statistic is computed between these two approaches? Thanks. |
Two major differences: repeated measures has a limited covariance structure to work with, whereas mixed typically has more and therefore, more likely the right one. Second, repeated measures does listwise deletion for missing data, mixed does not. Mixed is maximum likelihood whereas repeated measures ANOVA uses set formulas. SO the F's could be different unless the structure of the covariance matrix is simple and there is no missing data.
Dr. Paul R. Swank, Professor and Director of Research Children's Learning Institute University of Texas Health Science Center-Houston -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of pran909 Sent: Friday, May 06, 2011 12:31 AM To: [hidden email] Subject: Mixed models Vs repeated measures ANOVA Hi, I have a dataset and our dependent variable is measured at five different time points. we want to know if there is a difference between the two groups that we are studying (control and experimental). We also want to know if the dependent variable response is changing over time. I found from various resources that a mixed model approach would be appropriate for my analysis. However, I would like to know what is the difference in the test statistic between the mixed models and repeated measures ANOVA (GLM)? do both these approaches use F-test for testing the significance effect? is there any difference in the way F-test statistic is computed between these two approaches? Thanks. -- View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Mixed-models-Vs-repeated-measures-ANOVA-tp4375073p4375073.html Sent from the SPSSX Discussion mailing list archive at Nabble.com. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (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 ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (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 |
It may be of interest to see an example of how F-statistics are
calculated within the context of a linear mixed model: http://www.listserv.uga.edu/cgi-bin/wa?A2=ind1005&L=spssx-l&P=R34834 Shortly after posting the message above, I made a small clarification here: http://www.listserv.uga.edu/cgi-bin/wa?A2=ind1005&L=spssx-l&P=R34947 HTH, Ryan On Sun, May 8, 2011 at 11:06 PM, Swank, Paul R <[hidden email]> wrote: > Two major differences: repeated measures has a limited covariance structure to work with, whereas mixed typically has more and therefore, more likely the right one. Second, repeated measures does listwise deletion for missing data, mixed does not. Mixed is maximum likelihood whereas repeated measures ANOVA uses set formulas. SO the F's could be different unless the structure of the covariance matrix is simple and there is no missing data. > > Dr. Paul R. Swank, > Professor and Director of Research > Children's Learning Institute > University of Texas Health Science Center-Houston > > > -----Original Message----- > From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of pran909 > Sent: Friday, May 06, 2011 12:31 AM > To: [hidden email] > Subject: Mixed models Vs repeated measures ANOVA > > Hi, > > I have a dataset and our dependent variable is measured at five different > time points. we want to know if there is a difference between the two groups > that we are studying (control and experimental). We also want to know if the > dependent variable response is changing over time. > > I found from various resources that a mixed model approach would be > appropriate for my analysis. However, I would like to know what is the > difference in the test statistic between the mixed models and repeated > measures ANOVA (GLM)? do both these approaches use F-test for testing the > significance effect? is there any difference in the way F-test statistic is > computed between these two approaches? > > Thanks. > > -- > View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Mixed-models-Vs-repeated-measures-ANOVA-tp4375073p4375073.html > Sent from the SPSSX Discussion mailing list archive at Nabble.com. > > ===================== > To manage your subscription to SPSSX-L, send a message to > [hidden email] (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 > > ===================== > To manage your subscription to SPSSX-L, send a message to > [hidden email] (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 > ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (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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