Modern repeated measures analysis using mixed models in SPSS (1)

[@dtolin2001]

Thank you for posting this. Do you happen to have an example of a mixed-factor analysis (e.g., comparing two treatments over time)?

[@umaralhajiabubakar4869]

These videos are great. They are really, really help-full. Thanks. Umar Alhaji

[@augustus6106]

Hello, is mixed model a parametric or a non-parametric analysis? In other words can I use it when my data is not normally distributed?

[@thomasp961]

This is by far the best explanation of mixed models I've seen online. I'm regressing a repeated measures continuous IV on a continuous DV and would like to make predictions, thus I need the regression equation and (ideally) the R2. Can I use the mixed model to get this?

[@RobinBeaumont]

hi Chandrima and Sarah there is an example on my website www.floppybunny.org/robin/web/virtualclassroom/stats/course2.html which demonstrates this

[@RobinBeaumont]

there is an example just like this as part of the SPSS mixed models tutorials.

[@ruslanvolkonsky1664]

This is really helpful. Can you show a 3-way mixed effects model please? For example: IV1 = Gender (btw) IV2 = Time (before or after learning) IV3 = Type of learning (with say, 5 levels) DV = recall

[@RobinBeaumont]

Hi Ruslan I have now moved over to only analysing repeated measures data using R for your design, as mentioned below see Linear Mixed models by West, Welch and Gatecki - 2nd ed. (2014)

[@TommasoMazza]

Hi, how do you compare repeated measures with missing data?

[@dirkschomburg1174]

at 8:46 the table with Covariance matrixes. Is there an error? with "Diagonal" there should be "No correlation (i.e. independent)" in the last column. If I compare that with the IBM SPSS documentation.

[@bhattacc]

thank you so much I have the same question as Sarah garner

[@bachadega]

Would you do an example where apply mixed model to marketing activity...for instance, to find the coefficient for a total sales of a company which is dependent on some stores and these stores sell five of the company's products..highly appreciated!!

[@learner442]

Very nice.

[@nikoschristodoulakis7936]

I have one question. I did an analysis of a 2x2x2x2 factorial anova. The first 3 variables were repeated measures and the last was a between groups analysis. The data in the repeated measures were all reaction speeds. The names of variables were Zoom, Movement, Emotion and Orientation(between). I found two statistical significant interactions between Movement and Emotion, and Zooming and Orientation. Now i want to examine in both interactions which pair of means were statistically different. But I can't do that in the Movement xEmotion interaction with a simple t-test because my dataset has 8 variables and not 4. Also how do I do it in the Zooming x Interaction?

[@qwertY81240]

Hi Robin, Thank you for this clear video. I have a question about the modeling of change scores. I want to compare change in the dependent variable between two groups and they differ in baseline scores. Do I have to control for this difference, or does MLL account for it automatically. I thought that it accounts for this change as it models change withing groups and compares this change between groups but now I'm confused. Can you help me? Anyway, many thanks.

[@bhattacc]

sorry it is me again, i have a data with one withing group IV with 3 levels and one between group iv (which is a continuous variable) and i need to do repeated measures regression, this tutorial covers what do with the within group IV , how should I handle the between group iv in the mixed model? is there a tutorial for that in your link? Thank you for your help again.

[@Makroragerovia]

Hi, I would like to ask about the model comparison at the end of the video. What is the interpretation of 1-pchisq (= 96)? Is it that 96 of 100 times the models would be equal in fitting or that 1 of 96 is different? So if the first is true, than the 1-pchisq should be higher thand 0.95 to conclude equality, right? In the second case (1 of 96 different) it schould be huigher than 20 (giving 95%). Thank you! M.

[@77saho]

Thank you. How can i control confounding variables with Generalized estimated equations analyses?

[@brunomazuquin4166]

Hi Robin, This is a great video, thanks for sharing your knowledge with us. What are the references you have used to explain the choice for the covariance matries for repeated measures?

[@RobinBeaumont]

Hi Bruno - can you give me the time in the video which refers to it - thanks

[@brunomazuquin4166]

8:36 and 13:52

[@RobinBeaumont]

I think you will find it here, My book covers the material in more depth but I use R instead there as I much prefer it to SPSS and have moved totaly over to it now! www.floppybunny.org/robin/web/virtualclassroom/stats/course2.html

[@pal180]

Very nice series. I wonder if you'd be interested in doing a similar set of videos for binary or count outcomes? Thanks again.

[@RobinBeaumont]

Hi chandrima I would suggest that you have a look at the book Linear Mixed models by West, Welch and Gatecki - 2nd ed. (2014) this has a example of what you want in it - I assume you are using R

[@bhattacc]

either R or Spss , I just some can't get the syntax right. I will look for the book . Thank you

[@wiffle2k]

Hello there, thank you for this really useful video. I am trying to run this analysis myself, however I have the equivalent of 3 time points (instead of your 2). Would you be able to explain how to do this? Thank you.

[@russellgrant1797]

Sarah, I had the same question. If you read his written description here (www.floppybunny.org/robin/web/virtualclassroom/stats/statistics2/repeated_measures_1_spss_lmm_intro.pdf) he says "It is interesting to note that we could have extended the above to many independent groups which would have been equivalent to carrying out an ANOVA." (see page 10)

[@russellgrant1797]

Although, I ran the analysis as specified (except with 4 levels rather than 2) and the repeated measures ANOVA with my data and got slightly different F values: 11.127 (ANOVA), 11.786 (mixed model).

[@russellgrant1797]

The answer might be here, page 10, paragraph 1. www.spss.ch/upload/1126184451_Linear%20Mixed%20Effects%20Modeling%20in%20SPSS.pdf

[@zubinbhavsar6655]

can u show how to do 2x2x8 mixed design anova please.

[@janemacnaughton1182]

The reasons why you choose to ignore aspects would be useful. `no explanation of why anywhere at all.