replicating correlation table from Hofer et al (2009)

andkov commented 8 years ago

Replicating table type using Portland 2015 data

PHYS ||            LEVELS            ||            SLOPES            ||         RESIDUALS            ||
_____|| a | ae| aeh | aehplus | full || a | ae| aeh | aehplus | full || a | ae| aeh | aehplus | full ||
cog_1||                              ||                              ||                              ||
cog_2||                              ||                              ||                              ||
 ... ||                              ||                              ||                              ||
cog_N||______________________________||______________________________||______________________________||

andkov commented 8 years ago

The first seed reports are available for EAS and OCTO commit : https://github.com/IALSA/IALSA-2015-Portland/commit/661aa1709d642fd883d214373182969baf16fa30

word report should be viewed in Web Layout with Navigation tab open. In the print layout some of the tables are too wide. More on this later.
In Html report use the navigation sidebar and CTRL + <- and CTRL + -> to alternate views between conditions
EAS : html report , word document
OCTO : html report , word document

@ampiccinin , @wibeasley , @smhofer , @GracielaMuniz

ampiccinin commented 8 years ago

@andkov , @GracielaMuniz , @smhofer , @annierobi

Annie’s assessment is that the covariance and correlation significance details are pretty much compatible, so for the correlation tables let’s go with N, r, CI and p.

We can base this on the IJE instructions to authors (and also note their stern comments on "significance": • In the IJE we actively discourage the use of the term "statistically significant" or just "significant" and such statements in method sections as "findings at p<0.05 were considered significant". Where used, we ask authors to provide effect estimates with confidence intervals and exact P values, and to refrain from the use of the term "significant" in either the results or discussion section of their papers. Our justification of this position is given in the Sterne J, Davey-Smith G. "Sifting the evidence - What's wrong with significance tests?" BMJ 2001: 322:226-231. See also Wasserstein RL, Lazar NA. The ASA's statement on p-values: context, process, and purpose. The American Statistician 2016: DOI:10.1080/00031305.2016.1154108

IALSA / IALSA-2015-Portland

replicating correlation table from Hofer et al (2009) #151