Hi, I've just seen your channel and noticed that you are from Iran. I'm Iranian and have been in the UK for around one year. I'm so glad to see your channel and CV and proud to be your compatriot! - Foad
Hi, the video was wonderful. Unfortunately I am trying exactly this in SPSS and having some difficulty understanding the results. If you have 4 different meds and anxiety levels at 4 different time with each med, SPSS is comparing mean of all 4 time points for meds A, B,C and D rather than the total decline in anxiety.. So if with A it went from 12 to 3 (mean of 12+3 is 7.5) and with B it went from 9 to 6, the mean of 9+6 is also 7.5. The post-hoc test is comparing these two means and saying there is no med*time difference between the groups rather than comparing the decrease with A versus B. Very confused now. Thanks!
To compare the decrease (rather than the mean of the variables), you will need to create new variables. Decrease from point 1 to 2 = point 1 - point 2. decrease from point 2 to 3 = point 2 - 3. etc. This will provide you with 4 new variables (decrease), which can be compared in the same way you have done.
Hi sir. Thank you for the great video. But I have one question. I have include few covariates for this analysis. And I'm aware there produce difference significant value for the (test within subject) effect and (estimated marginal means) for the same variable. Hence, I'm not sure, which result should I refer? Thank you so much sir.
Hi sir, thank you for the clear explanation. I have to run a repeated measures ANOVA with age en gender, but in this case as covariates. What is the difference with implementing them as covariates instead of independent, between-subjects variables?
Hi Sir, And thand you very much for this video. If there is no interaction between time and groups for example, I supposed that I can not go further on intra-group comparisons. Because for example, I have an interaction of time but no interaction of time*group. But when I go to the intra-group comparison, one group have statiscal differneces and the other have not... What do you think of that ?
query in stat analysis. i want to compare mean heart rate changes with baseline (T0) within the group.there are 10 continuous time points and the study group given at T2. (T0,T1,....T10.) like t1 vs t0, t2 vs t1, t3 vs t0.. what test should i apply ? paired t test is appropriate?.... or i should do Anova test
Hi, I’m not sure what test to conduct. I have 2 groups (experiments and control) and 10 samples in each group. All participants under go the same test before doing exercise and after doing exercise but the exercise from the control group is different to the experimental. What test is most appropriate
I think a repeated measures ANOVA with a between-subject variable (i.e., control vs experiment group) -- But please note that your sample size is pretty small. Perhaps use a non-parametric test.
In my research I have two treatment groups and in each group I have taken measurements of pressure at 3 intervals ie 0, 2, 4, 8 weeks. I want to compare significance between 2 groups. Which test to use? How to say which treatment is better than other?
I think a mixed-effect ANOVA (with between and within subject effects) is applicable in this case. treatment: between subject variable; time 90,2,4,8): within subject variable.
Hello, i wonder if you answer my question, i am testing the effect of two types of activities with the use of 3 ratio between time and rest and 2 rest intervals after the activities and the subsequent task. Which Anova should i use taking into consideration that i have a control condition in which none of all these variables were used, i though about repeated measure one way anova, howver if i would like to test the effect of the before-mentioned variables this will not be possible, any help ? thanks
Hello I am doing a within- (8 levels) and between-subjects (5 levels) design repeated measures, but I get a warning that Box's Test of Equality of Covariance Matrices is not computed because there are fewer than two nonsingular cell covariance matrices. What seems to be the problem? What can I change? I still get the results but are they valid? Thanks!
Hello, thank you for the useful video. I have a question. I have only two levels of my both within and between variables but Levene's test is significant so the assumption is not hold. What can I do to fix that? Thank you in advance.
Hi Sir. Can I still interpret the within and between subject effects if I get a statistically significant for equality of covariance matrices? If not what should I do? My independent variable only has two levels.
Hi. Could you please help me with understanding the following? 1. What does it mean if there is no interaction between gender*time (within subjects)? Does it mean that amongst the females there are no differences across the time points? 2. If there was a between subjects effect of gender, does that mean there is a significant difference of time between males and females? Thanks!
Hello i have one drug with two concentrations and i'm trying to their effectiveness at different time interval such as 0,2,4,6&8 how can i analyze this in spss
Hello, thank you for the video! I have a question - I have 2 groups (experiment and control). Each group is comprised of males and females which are measured on the dependent variable 3 times. My independent variables are group, gender and time. Will repeated measures ANOVA work for this study design? Any help will be greatly appreciated!
Try a mixed ANOVA, which combines both repeated measures ANOVA and factorial ANOVA. Your gender and group variables are between group, and time is within group.
I would like ti ask. What is the corelation coefficiente within subject and between when I have hierarchical data and how can I calculate It. Thanks in advance
@@VahidAryadoust I have a questionaire that each person has responded multiple times so my data is hierarchical and I want to calculate the corellation within person/subject and between. And this correlation isnt ICC
Would I use the same steps if I changed time 1 and time 2 into respectively: perceived effectivenes for leadership style A and leadership style B, moderated by gender?
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