#repeatedmeasures — Public Fediverse posts

You won't be surprised that I eagerly watch James Hoffmann's videos. Especially the "if you were to plan some small experiment on your own - WITH COFFEE!" videos are really good.

So his new test of the "delay your morning #coffee" hypothesis was right down my street!
https://www.youtube.com/watch?v=yCJr49GU9yY
#HubermanLab

One thing I was wondering and which was not discussed in the comments I managed to read:
Were the data analysed in a way that took nesting / #RepeatedMeasures into account?

#HLM #TimeSeries

You won't be surprised that I eagerly watch James Hoffmann's videos. Especially the "if you were to plan some small experiment on your own - WITH COFFEE!" videos are really good.

So his new test of the "delay your morning #coffee" hypothesis was right down my street!
https://www.youtube.com/watch?v=yCJr49GU9yY
#HubermanLab

One thing I was wondering and which was not discussed in the comments I managed to read:
Were the data analysed in a way that took nesting / #RepeatedMeasures into account?

#HLM #TimeSeries

You won't be surprised that I eagerly watch James Hoffmann's videos. Especially the "if you were to plan some small experiment on your own - WITH COFFEE!" videos are really good.

So his new test of the "delay your morning #coffee" hypothesis was right down my street!
https://www.youtube.com/watch?v=yCJr49GU9yY
#HubermanLab

One thing I was wondering and which was not discussed in the comments I managed to read:
Were the data analysed in a way that took nesting / #RepeatedMeasures into account?

#HLM #TimeSeries

You won't be surprised that I eagerly watch James Hoffmann's videos. Especially the "if you were to plan some small experiment on your own - WITH COFFEE!" videos are really good.

So his new test of the "delay your morning #coffee" hypothesis was right down my street!
https://www.youtube.com/watch?v=yCJr49GU9yY
#HubermanLab

One thing I was wondering and which was not discussed in the comments I managed to read:
Were the data analysed in a way that took nesting / #RepeatedMeasures into account?

#HLM #TimeSeries

New tutorial paper describing the use of a simple #NonParametric #statistics method for analysing #RepeatedMeasures data with a focus on individual-level results https://pubs.asha.org/doi/10.1044/2022_JSLHR-22-00133

All data and #Rstats code needed to reproduce the analyses is available here https://osf.io/w32dk/

An #Rstats package which implements the method is available on CRAN https://CRAN.R-project.org/package=opa

The latest development version can be downloaded from githib https://github.com/timbeechey/opa

A little while back I wrote an #rstats package for #NonParametric analysis of #RepeatedMeasures data https://CRAN.R-project.org/package=opa using #ordinal pattern analysis.

A tutorial with #rstats code is available here: https://osf.io/w32dk/