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
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.
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 ??
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
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.
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?
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!
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?
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.
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!
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.
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 ??
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
Kindly made a video how to interpret Generalize Linear Mixed Model results and which values can be used for manuscript
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.
If Mauchly's = significant, and epsilon >.750, shouldn't we use Huynh-Feldt?
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?
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!
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?
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.