{"id":7115,"date":"2018-02-20T23:50:30","date_gmt":"2018-02-20T23:50:30","guid":{"rendered":"http:\/\/essaysparlor.com\/eu-citizenship-in-germany\/"},"modified":"2017-02-20T20:02:54","modified_gmt":"2017-02-20T20:02:54","slug":"eu-citizenship-in-germany","status":"publish","type":"post","link":"https:\/\/www.benedictsol.com\/blogs\/eu-citizenship-in-germany\/","title":{"rendered":"EU citizenship in Germany"},"content":{"rendered":"<p>\nIntro: Start with a brief introduction, where your choice of each variable is explained.<br \/>\nThe dependent variable chosen for this quantitative assignment was ?You feel you are a citizen of the EU\/QP6?; this variable had less than 5 response categories which allowed for concise information and data presentation. The country which will be focused on is Germany as it is a large European country with socio-economic diversity which allowed for a wide catchment of data. By choosing ?social class? for the independent variable, we aim to investigate whether there is a connection between the way Germans feel regarding citizenship of the EU based on which social class category they fall into. By recoding the social class categories into three categories: 1) upper and middle class 2) working class 3) other; it allowed for clearer representation of the values in the dependant variable. ?Bivariate cross-tabulations were conducted to test the frequencies from the data set of the dependant and independent variables, this allowed us to establish that a relationship exists between these two variables. To test the strength of this relationship, a control variable was chosen, ?higher education?. By conducting a multivariate cross-tabulation of the three variables, it was revealed that the relationship between the dependant and independent variables was positive. <br \/>\n. <\/p>\n<p>1. Begin by presenting your dependent variable as a graph (e.g. bar or pie chart)<br \/>\ndiscuss the percentage distribution (e.g. proportions of respondents agreeing or disagreeing with a statement<br \/>\n2. Then present your bivariate analysis, as a table.<br \/>\nDiscuss what comes out of the bivariate analysis. <br \/>\nShow that there is a bivariate effect by reporting the margins of error in the text, but the significance calculations do not have to be reported in detail. <\/p>\n<p>Table 1: Effect of class on the feeling of EU citizenship in Germany (percentages).<br \/>\n\tYes def\tYes to some ext\tNo not really\tNot at all\tsum\tN<br \/>\nUpper &#038; middle\t50.4\t33.6\t12.5\t3.5\t100\t423<br \/>\nWorking\t33.1\t42.7\t16.5\t7.7\t100\t260<br \/>\nOther\t43.5\t34.0\t15.9\t6.6\t100\t958<br \/>\nDiff Up &#038; mid &#8211; work\t17.3\t-9.1\t-4.0\t-4.2\t\t<br \/>\nClass effect is most evident among those that responded ?Yes, definitely?: 17.3<br \/>\nClass effect remains significant among ?Yes to some extent?.<br \/>\nFor ?No not really? and ?Not at all?, class effect is not significant.<\/p>\n<p>The margin of error for upper and middle class is 4.8; for working class it is 5.7. Combined, these add up to 10.5, which is inferior to 17.3. As such the two do not overlap, and we therefore see a significant class effect.<\/p>\n<p>\n3. Then present and report the results from the multivariate table. <br \/>\nRemember that the main point of the multivariate analysis is to check whether the bivariate effect remains or not within the categories of the control variable. <br \/>\nThe conclusions from the multivariate analysis should, where necessary, be based on significance tests (= margin of error?). <br \/>\nAgain, however, you should not report the full significance calculations. Just indicate in the text, or with asterisks (*) in the table, which differences are significant. <br \/>\nRemember that, while graphs may be copied and pasted from SPSS, tables should not be. Tables should be neatly formatted; it is a good idea to do so directly in Word.<\/p>\n<p>Table 2: Effect of class on the feeling of EU citizenship in Germany with control for education (percentages).<\/p>\n<p>\tYes def\tYes to some ext\tNo not really\tNot at all\tsum\tN<br \/>\nUpper &#038; middle\t50.4\t33.6\t12.5\t3.5\t100\t423<br \/>\nWorking\t33.1\t42.7\t16.5\t7.7\t100\t260<br \/>\nOther\t43.5\t34.0\t15.9\t6.6\t100\t958<br \/>\nDiff Up &#038; mid &#8211; work\t17.3\t-9.1\t-4.0\t-4.2\t\t<br \/>\nNo higher education<br \/>\n\tYes def\tYes to some ext\tNo not really\tNot at all\tsum\tN<br \/>\nUpper &#038; middle\t41.6\t38.0\t15.8\t4.5\t100\t221<br \/>\nWorking\t29.5\t44.1\t18.1\t8.4\t100\t227<br \/>\nOther\t39.2\t35.6\t18.0\t7.2\t100\t762<br \/>\nDiff Up &#038; mid &#8211; work\t12.1*\t-6.1\t-2.3\t-3.9\t\t<br \/>\nHigher education<br \/>\n\tYes def\tYes to some ext\tNo not really\tNot at all\tsum\tN<br \/>\nUpper &#038; middle\t59.9\t28.7\t8.9\t2.5\t100\t202<br \/>\nWorking\t57.6\t33.3\t6.1\t3.0\t100\t33<br \/>\nOther\t60.2\t28.1\t7.7\t4.1\t100\t196<br \/>\nDiff Up &#038; mid &#8211; work\t2.3\t-4.6\t2.8\t-0.5\t\t<br \/>\n(The education effect is significant. The education effect is the control variable => because it?s significant as well as class, we can conclude that class effect is significant.)<\/p>\n<p>There is a large difference in perception of EU citizenship based on those who responded ?Yes definitely? and have no higher education. Education effect here is significant: 12.1. <br \/>\nThe rest is insignificant?<\/p>\n<p>\nRound off with a conclusion. Try to be substantive and contextual here, going beyond mere repetition of the numbers and percentages. What are the implications of your findings? What does it tell us about voters in Germany in 2014? Base the discussion on your findings. <\/p>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Intro: Start with a brief introduction, where your choice of each variable is explained. The dependent variable chosen for this quantitative assignment was ?You feel you are a citizen of the EU\/QP6?; this variable had less than 5 response categories <a href=\"https:\/\/www.benedictsol.com\/blogs\/eu-citizenship-in-germany\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-7115","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/7115","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/comments?post=7115"}],"version-history":[{"count":0,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/7115\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/media?parent=7115"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/categories?post=7115"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/tags?post=7115"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}