{"id":5032,"date":"2015-04-19T12:35:56","date_gmt":"2015-04-19T11:35:56","guid":{"rendered":"http:\/\/emilkirkegaard.dk\/en\/?p=5032"},"modified":"2017-03-22T22:45:11","modified_gmt":"2017-03-22T21:45:11","slug":"examining-the-s-factor-in-mexican-states","status":"publish","type":"post","link":"https:\/\/emilkirkegaard.dk\/en\/2015\/04\/examining-the-s-factor-in-mexican-states\/","title":{"rendered":"Examining the S factor in Mexican states"},"content":{"rendered":"<p class=\"western\" style=\"text-align: center;\"><a href=\"https:\/\/osf.io\/jegzz\/\">Paper PDF<\/a><\/p>\n<p class=\"western\"><b>Abstract<br \/>\n<\/b>Two datasets of socioeconomic data was obtained from different sources. Both were factor analyzed\u00a0and revealed a general factor (S factor). These\u00a0factors were\u00a0highly correlated with each other (.79 to .95), HDI (.68 to .93) and with cognitive ability (PISA; .70 to .78). The federal district was a strong outlier and excluding it improved results.<\/p>\n<p class=\"western\">Method of correlated vectors was strongly positive for all 4 analyses (r\u2019s .77 to .92 with reversing).<\/p>\n<p class=\"western\"><b>K<\/b><b>ey words<\/b>: intelligence, IQ, general socioeconomic factor, S factor, inequality, Mexico, Mexican states<\/p>\n<p class=\"western\"><strong>OSF:\u00a0<\/strong>https:\/\/osf.io\/zk3yx\/<\/p>\n<p class=\"western\"><strong>Main figures<\/strong><\/p>\n<p class=\"western\"><a href=\"http:\/\/emilkirkegaard.dk\/en\/wp-content\/uploads\/CA_S_chosen-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-6587\" src=\"http:\/\/emilkirkegaard.dk\/en\/wp-content\/uploads\/CA_S_chosen-1-1024x731.png\" alt=\"\" width=\"720\" height=\"514\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Paper PDF Abstract Two datasets of socioeconomic data was obtained from different sources. Both were factor analyzed\u00a0and revealed a general factor (S factor). These\u00a0factors were\u00a0highly correlated with each other (.79 to .95), HDI (.68 to .93) and with cognitive ability (PISA; .70 to .78). The federal district was a strong outlier and excluding it improved [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1839,1921],"tags":[2131,2148,1979,2592,2132,2149],"class_list":["post-5032","post","type-post","status-publish","format-standard","hentry","category-psychometics","category-sociology","tag-cognitive-sociology","tag-mexico","tag-r","tag-s-general-socioeconomic-factor","tag-sociology-of-intelligence","tag-states","entry"],"_links":{"self":[{"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/posts\/5032","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/comments?post=5032"}],"version-history":[{"count":16,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/posts\/5032\/revisions"}],"predecessor-version":[{"id":6588,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/posts\/5032\/revisions\/6588"}],"wp:attachment":[{"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/media?parent=5032"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/categories?post=5032"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/tags?post=5032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}