{"id":59443,"date":"2011-12-30T12:58:56","date_gmt":"2011-12-30T20:58:56","guid":{"rendered":"http:\/\/blogs.discovermagazine.com\/gnxp\/?p=15127"},"modified":"2011-12-30T12:58:56","modified_gmt":"2011-12-30T20:58:56","slug":"vocab-by-ethnicity-region-and-education","status":"publish","type":"post","link":"https:\/\/www.razib.com\/wordpress\/2011\/12\/30\/vocab-by-ethnicity-region-and-education\/","title":{"rendered":"Vocab by ethnicity, region, and education"},"content":{"rendered":"

A questioner\u00a0below<\/a> was curious if vocabulary test differences by ethnic and region persist across income. There’s a problem with this. First, the INCOME variable isn’t very fine-grained (there is a catchall $30,000 or greater category). Second, it doesn’t seem to control for inflation. But, there is a variable, DEGREE, which asks the highest level of education attained. I used this to create a “college” and “non-college” category (i.e., do you have a bachelor’s degree or not). Because of sample size considerations I removed some of the ethnic groups, but replicated the earlier analysis.<\/p>\n

Below are two tables. One shows the mean vocab score for region and ethnicity (for whites) for those without college educations, and another shows those with college educations. I decided to generate a correlation over the two rows, even though it sure isn’t useful as a quantitative statistical measure because of the small number of data points. Rather, I just wanted a summary of the qualitative result. The short answer is that the average vocabulary difference seems to persist across educational levels<\/strong> (the exception here is the “German” ethnicity).<\/p>\n

<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Mean WORDSUM Score by Ethnicity and Region<\/strong><\/td>\n<\/tr>\n
No college education<\/em>
\n<\/strong><\/td>\n
\nNortheast<\/strong><\/td>\n
\nMidwest<\/strong><\/td>\n
\nSouth<\/strong><\/td>\n
\nWest<\/strong><\/td>\n<\/tr>\n
German<\/strong><\/td>\n6.05<\/td>\n5.81<\/td>\n5.79<\/td>\n6.11<\/td>\n<\/tr>\n
Eastern Europe<\/strong><\/td>\n6.17<\/td>\n6.16<\/td>\n6.18<\/td>\n6.29<\/td>\n<\/tr>\n
Scandinavian<\/strong><\/td>\n6.35<\/td>\n5.97<\/td>\n6.23<\/td>\n6.35<\/td>\n<\/tr>\n
British<\/strong><\/td>\n6.6<\/td>\n6.21<\/td>\n6.02<\/td>\n6.57<\/td>\n<\/tr>\n
Irish<\/strong><\/td>\n6.66<\/td>\n5.83<\/td>\n5.69<\/td>\n6.58<\/td>\n<\/tr>\n
Italian<\/strong><\/td>\n6<\/td>\n5.85<\/td>\n5.8<\/td>\n6.18<\/td>\n<\/tr>\n

\n<\/strong><\/td>\n		<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
College educated<\/em>
\n<\/strong><\/td>\n
\nNortheast<\/strong><\/td>\n
\nMidwest<\/strong><\/td>\n
\nSouth<\/strong><\/td>\n
\nWest<\/strong><\/td>\n<\/tr>\n
German<\/strong><\/td>\n8.03<\/td>\n7.48<\/td>\n7.63<\/td>\n7.33<\/td>\n<\/tr>\n
Eastern Europe<\/strong><\/td>\n7.7<\/td>\n7.37<\/td>\n7.5<\/td>\n8.09<\/td>\n<\/tr>\n
Scandinavian<\/strong><\/td>\n8.5<\/td>\n7.82<\/td>\n7.86<\/td>\n7.92<\/td>\n<\/tr>\n
British<\/strong><\/td>\n8.44<\/td>\n8.06<\/td>\n7.76<\/td>\n7.95<\/td>\n<\/tr>\n
Irish<\/strong><\/td>\n8.03<\/td>\n7.79<\/td>\n7.39<\/td>\n7.59<\/td>\n<\/tr>\n
Italian<\/strong><\/td>\n7.45<\/td>\n7.75<\/td>\n7.6<\/td>\n7.87<\/td>\n<\/tr>\n

\n<\/strong><\/td>\n		<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Correlation of college and non-college<\/strong><\/td>\n<\/tr>\n
German<\/strong><\/td>\n0.08<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Eastern Europe<\/strong><\/td>\n0.92<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Scandinavian<\/strong><\/td>\n0.57<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
British<\/strong><\/td>\n0.70<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Irish<\/strong><\/td>\n0.57<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Italian<\/strong><\/td>\n0.40<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

A questioner\u00a0below was curious if vocabulary test differences by ethnic and region persist across income. There’s a problem with this. First, the INCOME variable isn’t very fine-grained (there is a catchall $30,000 or greater category). Second, it doesn’t seem to control for inflation. But, there is a variable, DEGREE, which asks the highest level of […]<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39,281,56,498,433],"tags":[],"class_list":["post-59443","post","type-post","status-publish","format-standard","hentry","category-data","category-data-analysis","category-gss","category-i-q","category-regionalism"],"_links":{"self":[{"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/posts\/59443","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/comments?post=59443"}],"version-history":[{"count":6,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/posts\/59443\/revisions"}],"predecessor-version":[{"id":59869,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/posts\/59443\/revisions\/59869"}],"wp:attachment":[{"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/media?parent=59443"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/categories?post=59443"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.razib.com\/wordpress\/wp-json\/wp\/v2\/tags?post=59443"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}