Thanks for sharing the information. I notice that the interaction between the co-variate and the within subject factor existed in your case. Hence, I wonder if there is any way to do the post hoc tests for the interaction.
Hi, is it possible to use a dichotomous variable as a covariate, or does it have to be continuous? I'm working with test scores, and I'm assigning subjects into groups of alcohol use (high/low). If the covariate has to be continuous, can I use the raw total test scores as a continuous covariate?
Would appreciate your advice - If I have a sample of athletes, say basketball players, and I want to assess the change in a physical measure such as jump height over the course of a tournament, say 8 games, but I want to include individuals playing time on the court, what would the most appropriate statistical test be? As it is not a baseline value would an ANCOVA still be appropriate or is there a way to normalise the jump height scores to account for playing time in each game?Thank you
The covariate does not have to be a baseline value, as long as you have a theoretical justification for using it to reduce the amount unexplained variance in the dependent variable.
I think that it is rather a mixed-model ANCOVA, because you have a diet as a qualitative variable. Pure repeated-measures ANCOVA implies only quantitative dependent variables and quantitative covariates.
Qualitative variable? What do you mean? SPSS is to run quantitative tests. Statistical tests are quantitative. All of those variables as long as they are in the program are quantitative. That's not what mixed models do. It's repeated measures ANCOVA as she says.
Please explain the fields in which you enter the different variables. What is a covariate? What is a fixed factor? This is the thing that confuses students the most. The understanding of the input is as important as the interpretation of the output. Every video focuses on the output but never explain on what basis they entered the inputs. A lengthy detailed video, but doesn't explain the most needed concepts.
Thank you for this video! How do we report the results APA style ?
Thanks for the video, really useful!
Thank you so much! You have helped me a great deal!
Beautiful video, thank you
Thanks for sharing the information. I notice that the interaction between the co-variate and the within subject factor existed in your case. Hence, I wonder if there is any way to do the post hoc tests for the interaction.
Hi, is it possible to use a dichotomous variable as a covariate, or does it have to be continuous? I'm working with test scores, and I'm assigning subjects into groups of alcohol use (high/low). If the covariate has to be continuous, can I use the raw total test scores as a continuous covariate?
Dear Professor, would it not be better to use Bonferroni instead of LSD (considering multiple pairwise comparisons)? Thanks so much for your video.
Thanks for the video! The title is misleading, though, as your design is "mixed" (Diet is a between-subject factor), not "repeated measures".
No, it's not. It's repeated measures ANCOVA. Not Mixed.
Would appreciate your advice - If I have a sample of athletes, say basketball players, and I want to assess the change in a physical measure such as jump height over the course of a tournament, say 8 games, but I want to include individuals playing time on the court, what would the most appropriate statistical test be? As it is not a baseline value would an ANCOVA still be appropriate or is there a way to normalise the jump height scores to account for playing time in each game?Thank you
The covariate does not have to be a baseline value, as long as you have a theoretical justification for using it to reduce the amount unexplained variance in the dependent variable.
thanks for your valuable info
Hello! That's what I needed! Thanks!! But I have only one doubt: can my covariate be dichotomous? :B
Nice, fruitful
I think that it is rather a mixed-model ANCOVA, because you have a diet as a qualitative variable. Pure repeated-measures ANCOVA implies only quantitative dependent variables and quantitative covariates.
Qualitative variable? What do you mean? SPSS is to run quantitative tests. Statistical tests are quantitative. All of those variables as long as they are in the program are quantitative. That's not what mixed models do. It's repeated measures ANCOVA as she says.
How to write the analysis ?
can you please post your dataset here so as to practice what you taught here,,,thank you so much
Hello, thank you very much for the info. But for next time, please, pleeeeasee talk faster. Thanks
Please explain the fields in which you enter the different variables. What is a covariate? What is a fixed factor? This is the thing that confuses students the most. The understanding of the input is as important as the interpretation of the output. Every video focuses on the output but never explain on what basis they entered the inputs. A lengthy detailed video, but doesn't explain the most needed concepts.