search

jamovi / jamovi

jamovi - open software to bridge the gap between researcher and statistician
https://www.jamovi.org
Other
573 stars 61 forks source link

Reliability statistics #529

Open nickbehn opened 6 years ago

nickbehn commented 6 years ago

It would be useful if there were two reliability stats included: Cohen's kappa and Gwet's AC. I can only access kappa on SPSS and Gwet's AC from Stata so it would be good to have the two of them on this platform. Thanks Nick

raviselker commented 6 years ago

Hi Nick, Yeah, I've been meaning to add some inter-rater reliability measures to the reliability analysis, so I'll look into these. Thanks! Cheers, Ravi

uisikdag commented 5 years ago

Thank you so much for the great tool. I am very new to it at the moment .Do you think of adding cohen's kappa+ fleiss kappa ... Thanks Umit

steell88 commented 4 years ago

thank you for the great app. i am using jamovi for a while and i think it is wonderfull after using SPSS but there some missing features like kappa analysis and etc. if it si possible to add a module or function , it would be great...

kwalter-obu commented 4 years ago

I'd like to support these too. We are using jamovi with our first years, but they cannot run Cohen's Kappa which complements their observational methods teaching. Please can we get Cohen's Kappa added?

sbalci commented 4 years ago

You may try ClinicoPath module (requires latest jamovi release 1.2.22)

spssuser commented 2 months ago

I have recently started using Jamovi having used SPSS for many years. I am comparing outputs and have noticed that the overall mean for the scale statistic differs between SPSS and Jamovi. SPSS provides the overall mean being the sum of the item mean scores (mean raw score) whereas Jamovi provides the mean of the mean item scores (mean proportion correct). It might be useful to indicate this in a footnote that the mean scale score is the mean raw score as a proportion of the overall total score or provide both scores - mean raw score, mean raw score as proportion of overall score. Thank you.