{"action":"opened","issue":{"url":"https://api.github.com/repos/aiorazabala/qmethod/issues/148","labels_url":"https://api.github.com/repos/aiorazabala/qmethod/issues/148/labels{/name}","comments_url":"https://api.github.com/repos/aiorazabala/qmethod/issues/148/comments","events_url":"https://api.github.com/repos/aiorazabala/qmethod/issues/148/events","html_url":"https://github.com/aiorazabala/qmethod/issues/148","id":87981896,"number":148,"title":"plot, summarize changes in h2 per people-varibale per additional PC extracted","user":{"login":"maxheld83","id":5372770,"avatar_url":"https://avatars.githubusercontent.com/u/5372770?v=3","gravatar_id":"","url":"https://api.github.com/users/maxheld83","html_url":"https://github.com/maxheld83","followers_url":"https://api.github.com/users/maxheld83/followers","following_url":"https://api.github.com/users/maxheld83/following{/other_user}","gists_url":"https://api.github.com/users/maxheld83/gists{/gist_id}","starred_url":"https://api.github.com/users/maxheld83/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/maxheld83/subscriptions","organizations_url":"https://api.github.com/users/maxheld83/orgs","repos_url":"https://api.github.com/users/maxheld83/repos","events_url":"https://api.github.com/users/maxheld83/events{/privacy}","received_events_url":"https://api.github.com/users/maxheld83/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/aiorazabala/qmethod/labels/extraction","name":"extraction","color":"d4c5f9"}],"state":"open","locked":false,"assignee":{"login":"maxheld83","id":5372770,"avatar_url":"https://avatars.githubusercontent.com/u/5372770?v=3","gravatar_id":"","url":"https://api.github.com/users/maxheld83","html_url":"https://github.com/maxheld83","followers_url":"https://api.github.com/users/maxheld83/followers","following_url":"https://api.github.com/users/maxheld83/following{/other_user}","gists_url":"https://api.github.com/users/maxheld83/gists{/gist_id}","starred_url":"https://api.github.com/users/maxheld83/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/maxheld83/subscriptions","organizations_url":"https://api.github.com/users/maxheld83/orgs","repos_url":"https://api.github.com/users/maxheld83/repos","events_url":"https://api.github.com/users/maxheld83/events{/privacy}","received_events_url":"https://api.github.com/users/maxheld83/received_events","type":"User","site_admin":false},"milestone":{"url":"https://api.github.com/repos/aiorazabala/qmethod/milestones/5","html_url":"https://github.com/aiorazabala/qmethod/milestones/1.4.0%20(Visualizations)","labels_url":"https://api.github.com/repos/aiorazabala/qmethod/milestones/5/labels","id":997073,"number":5,"title":"1.4.0 (Visualizations)","description":"","creator":{"login":"maxheld83","id":5372770,"avatar_url":"https://avatars.githubusercontent.com/u/5372770?v=3","gravatar_id":"","url":"https://api.github.com/users/maxheld83","html_url":"https://github.com/maxheld83","followers_url":"https://api.github.com/users/maxheld83/followers","following_url":"https://api.github.com/users/maxheld83/following{/other_user}","gists_url":"https://api.github.com/users/maxheld83/gists{/gist_id}","starred_url":"https://api.github.com/users/maxheld83/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/maxheld83/subscriptions","organizations_url":"https://api.github.com/users/maxheld83/orgs","repos_url":"https://api.github.com/users/maxheld83/repos","events_url":"https://api.github.com/users/maxheld83/events{/privacy}","received_events_url":"https://api.github.com/users/maxheld83/received_events","type":"User","site_admin":false},"open_issues":14,"closed_issues":14,"state":"open","created_at":"2015-02-26T14:46:15Z","updated_at":"2015-06-13T10:41:43Z","due_on":null,"closed_at":null},"comments":0,"created_at":"2015-06-13T10:41:43Z","updated_at":"2015-06-13T10:41:43Z","closed_at":null,"body":"This is another idea to inform a decision on how many factors should be extracted (in addition to #68).\r\n\r\nIdeally, in a Q analysis, we'd like *all* respondents to be somewhat represented in the resulting factor interpretation.\r\nOf course, if you retain fewer, rather than more PCs (as may be suggested by a parallel analysis), it is possible that the h2 communality for some people will drop precipitously, as you drop a PC.\r\n\r\nThis may be unacceptable.\r\n\r\nFurthermore, if the researcher has *substantive* reasons for believing that the h2-depressed participants actually *do* share a *real* common subjectivity, the additional PC may be retained even if the parallel analysis suggests otherwise.\r\nIn this case, the researcher would effectively be saying \"yeah, actually, I know these people, they're viewpoint is really *not* random\", even if parallel analysis offers no such support.\r\n\r\nThe plot and summary will make these kinds of judgements easier.\r\n\r\nIt's probably most useful in *marginal* decisions; should retain one more/less borderline factor/PC.\r\n\r\n"}}