Repeated Measures ANOVA in SPSS Tutorial (SPSS Tutorial Video #23) - GLM
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- Опубликовано: 12 июл 2024
- In this video, I cover the details of how how to conduct and interpret the results of a REPEATED MEASURES ANOVA in SPSS. I first conduct a simple 5-level repeated measures ANOVA and show you how to interpret the results. I then cross those 5 repeated measures with a 2-level independent variable (for a 5x2 Repeated Measures ANOVA) and show you how to interpret the interaction effect and how to plot the results. Finally I give you a chance to try it yourself
I STRONGLY SUGGEST WATCHING MY TWO-WAY ANOVA VIDEO BEFORE WATCHING THIS ONE IF YOU ARE UNFAMILIAR WITH ANOVA. VIDEO HERE: • Two Way Anova in SPSS ...
Video about One-way ANOVA: • One Way ANOVA (Analysi...
Video about One-way ANCOVA: • One Way ANCOVA (Analys...
Video about Planned Contrasts with One Way ANOVA: • Planned Contrasts and ...
Video about Two-way ANOVA: • Two Way Anova in SPSS ...
Video about Planned Contrasts with Two Way ANOVA: • Contrasts with Two Way...
Video about Multivariate Analysis of Variance (MANOVA): • Multivariate Analysis ...
Video about Repeated Measures ANOVA: • Repeated Measures ANOV...
This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
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Hi Jeff, great job you did here. I will highly appreciate your help in this "Box's Test of Equality of Covariance Matrices is not computed because there are fewer than two nonsingular cell covariance matrices" It might be due to an existing linear relationship between one or more dependent variables. However, all repeated measures were assessed individually and none was mathematically derived from others.
thanks for your explanation in this video, it's very helpful for me. currently I'm working big project about repeated measured anova this semester, that's a little bit confused but you explain in simple way. once again thanks! from Indonesia
Glad it was helpful!
HEY! We loved this video... As a lab, we are very sad that you have not uploaded the ANCOVA video... We need help, can you post an ANCOVA video and how to read the significance ??
Thanks for this helpful tutorial. Would this also work for mean changes in a group? If the independent variable was receiving (or not) an intervention and the dependent variable was mean changes in a measure pre and post that intervention (or lack of)? So rather than just one measure over time, you are looking at mean changes. Thank you!
HI, great video. In your output of 'Tests of within-subjects effects' you have df=9. In my output for some reason my df=0. Therefore my p value is displayed as a dot (.) only in my output. DO you know why is that the case? I have a sample of 34.
Thanks for this great video! in my data, I saw a significant 2-way interaction that I had expected to see. Would you recommend using the planned contrast you described in your other video to follow this interaction up?
Planned contrasts are a bit trickier with interactions with repeated measures (or repeated measures x independent observations), but yes, the same idea applies!
@@DataDemystified Thanks!
Kindly made a video how to interpret Generalize Linear Mixed Model results and which values can be used for manuscript
Hi, I'm conducting a within subject study design and struggling with conducting regression for it. I already did anova with repeated measures however I'm required to run a regression analysis as well. Would you be able to provide your expertise for my research?
I have observational data With multiple independent variables including repeated measures/Time. Looking at Group by Time interactions trying to Find the best fitting model. Can you an example how to do this. I understand covariates should be continuous? And between groups variables obviously entered into the group/between subject boxes.
What if our data hasbles both continuous variables I.e dependent and independent. And how to regress if dependent have three forms.and every form has five five questions answered on 5.point likert scale?
Hi Jeff, Thanks for the video. I have a question and I would appreciate it if you could help me. I am running a Repeated Measures ANOVA in SPSS and It's whiting a subject design. I also have about 7 Covariates. One of the Covariates is significant, I need a guide to interpret it, do you have any article which uses covariates?
Hi Hassan. I don't have any articles to share, but what is it that you'd like to interpret. Presumably, the covariates are there to allow you to make a claim about the influence of your IV on your DV, above and beyond the variation captures by your covariates. That one of them is significant, isn't all that material to that inference. The significant covariate merely indicates that it, along with (I assume) a significant IV predicts the DV. Though, a word of caution: with that many covariates, I would check to see if there are any issues of multicollinearity.
If Mauchly's = significant, and epsilon >.750, shouldn't we use Huynh-Feldt?
Inquiry: If I had one group of males and females, and I applied treatment to them and took three measurements
If the conditions for a t-test are present, use a two-sample t-test to test the treatment difference between males and females in each measurement
Secondly, it is possible to use a repeated-measures test to compare the effect of treatment on males in repeated measurements
I repeat this again for females