{"id":2776,"date":"2020-10-15T03:50:23","date_gmt":"2020-10-15T01:50:23","guid":{"rendered":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/possibilities-for-solving-the-problem-of-nonresponse-in-analyses-of-data-in-censuses-realized-through-questionnaire-surveys\/"},"modified":"2020-10-23T09:07:46","modified_gmt":"2020-10-23T07:07:46","slug":"possibilities-for-solving-the-problem-of-nonresponse-in-analyses-of-data-in-censuses-realized-through-questionnaire-surveys","status":"publish","type":"post","link":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/possibilities-for-solving-the-problem-of-nonresponse-in-analyses-of-data-in-censuses-realized-through-questionnaire-surveys\/?lang=en","title":{"rendered":"Possibilities for solving the problem of nonresponse in analyses of data in censuses realized through questionnaire surveys"},"content":{"rendered":"<p>Milan Terek, The School of Management, Slovak Republic<\/p>\n<p><!--more--><\/p>\n<p>Pages: 28 &#8211; 41<\/p>\n<h5>Abstract<\/h5>\n<p>The aim of the paper is to propose how nonresponse has been taken into account in estimating the characteristics of the population in the censuses. The effects of nonresponse on the point estimates, the causes and the prevention of nonresponse and the use of weights in poststratification in sample surveys are described. The calculation method of final weights taking into account nonresponse in poststratification is suggested. Finally, a method of selecting the most appropriate group of poststratification variables is proposed.<\/p>\n<div>\n<p><span style=\"line-height: 2.1em; padding-left: 0px; color: #1e4e9d;\">issue for download<\/span><br \/>\n<a class=\"download-pdf\" onclick=\"window.open('https:\/\/ssad.statistics.sk\/SSaD\/?dl_id=274','new','');return false\"  href=\"https:\/\/ssad.statistics.sk\/SSaD\/?dl_id=274\"><i class=\"far fa-file-pdf\"><\/i> PDF<\/a><span class='download-text'> (1,8 MB, 501 downloads)<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Milan Terek, The School of Management, Slovak Republic<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1190],"tags":[938,1201,1200],"class_list":["post-2776","post","type-post","status-publish","format-standard","hentry","category-4-2020-scientific-articles","tag-author-milan-terek","tag-poststratification-using-weights","tag-poststratification-variables"],"_links":{"self":[{"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/posts\/2776","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/comments?post=2776"}],"version-history":[{"count":1,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/posts\/2776\/revisions"}],"predecessor-version":[{"id":2777,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/posts\/2776\/revisions\/2777"}],"wp:attachment":[{"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/media?parent=2776"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/categories?post=2776"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ssad.statistics.sk\/SSaD\/index.php\/wp-json\/wp\/v2\/tags?post=2776"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}