Am I understanding/describing this right? (chi sq, confidence intervals, ACE model)

#1
The experiment is a twin study - using pairs of twins to investigate similarities and differences and look at how much genes and environment contribute to an outcome. The purpose of the study was to investigate the contribution of genetics, to attachment disorder. It was also to investigate whether attachment disorder can be differentiated from other socioemotional disorders

Brief information on the nature of the data and how variables are measured are found at these two links:

the poster summarising the study can be found here (my work that I'm struggling with): same link as above for the poster: https://www.dropbox.com/s/pjb2i5zyf2r0vl/poster.pdf?dl=0
the study in full can be found here (there are links to the right of the main content on this page, so you can skip to method, results, and figures.): http://bjp.rcpsych.org/content/190/6/490.long

In this experiment they use a chi squared goodness of fit test, applied to a thing called an ‘ACE model’, which looks at the sum of differences in pairs of twins, between the contributions of 3 factors: genetic effects, shared environment effects, and unique environmental effects, to the outcome.

Link to ACE model info: https://www.psychologytoday.com/blog/using-and-abusing/201204/twin-study-primer

In my ‘results’ section of the poster, I have tried to describe the statistics to do with this - please see paragraph 3, beginning ‘The ACE model…’. (see my poster, link above), and the corresponding table with stats on the percentage contributions and also confidence intervals.

Can anyone tell me - by looking at the corresponding stats in the table in the poster - if what I’ve written, and the way I understand things, is accurate/correct? Is there anything you’d add/change?

(We’ve never been taught about the ACE model or how to interpret this kind of thing, we were just asked to find a paper we thought interesting and present the key points and findings in a succinct way in a poster format.)

Thank you so much!
 
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