{"id":5266,"date":"2024-02-20T23:11:14","date_gmt":"2024-02-20T23:11:14","guid":{"rendered":"https:\/\/dornsife.usc.edu\/cesr\/?page_id=5266"},"modified":"2024-12-23T20:21:23","modified_gmt":"2024-12-23T20:21:23","slug":"cipher-2021","status":"publish","type":"page","link":"https:\/\/dornsife.usc.edu\/cesr\/cipher-2021\/","title":{"rendered":"CIPHER 2021"},"content":{"rendered":"\n\n\n\n  \n    \n\n\n\n\n\n\n<div\n  class=\"cc--component-container cc--rich-text \"\n\n  \n  \n  \n  \n  \n  \n  >\n  <div class=\"c--component c--rich-text\"\n    \n      >\n\n    \n      \n<div class=\"f--field f--wysiwyg\">\n\n    \n  <p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-5267 size-full\" src=\"https:\/\/dornsife.usc.edu\/cesr\/wp-content\/uploads\/sites\/54\/2024\/02\/CIPHER-2021.jpg\" alt=\"\" width=\"994\" height=\"402\" srcset=\"https:\/\/dornsife.usc.edu\/cesr\/wp-content\/uploads\/sites\/54\/2024\/02\/CIPHER-2021.jpg 994w, https:\/\/dornsife.usc.edu\/cesr\/wp-content\/uploads\/sites\/54\/2024\/02\/CIPHER-2021-300x121.jpg 300w, https:\/\/dornsife.usc.edu\/cesr\/wp-content\/uploads\/sites\/54\/2024\/02\/CIPHER-2021-768x311.jpg 768w\" sizes=\"(max-width: 994px) 100vw, 994px\" \/><\/p>\n<h2 style=\"font-weight: 400;\"><strong>CIPHER 2021<\/strong><\/h2>\n<p style=\"font-weight: 400;\">We held our third <strong>Current Innovations in Probability-based Household Internet Panel Research (CIPHER)<\/strong> conference to provide a platform for researchers to share challenges, opportunities, and successes. The third CIPHER conference was\u00a0<strong>entirely virtual.<\/strong><\/p>\n<h3>Program and Presentations<strong><br \/>\n<\/strong><\/h3>\n<p style=\"font-weight: 400;\">The joint conference took place March 4 &#8211; 5 in Washington, D.C.<\/p>\n<p style=\"text-align: left;\"><em>For videos of the CIPHER presentations, see <span style=\"color: #993300;\"><a style=\"color: #993300;\" href=\"https:\/\/dornsife.usc.edu\/cesr\/wp-content\/uploads\/sites\/54\/2024\/12\/CIPHER-2021-Presentations.pdf\">here<\/a><\/span>.<\/em><\/p>\n<p><em>For CIPHER agenda, please see <a href=\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2021-presentations-2\/\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #800000;\">here<\/span><\/a>. <\/em><\/p>\n<p><em>For a full list of speaker bios, please see <a href=\"https:\/\/dornsife.usc.edu\/cesr\/wp-content\/uploads\/sites\/54\/2024\/12\/CIPHER-2021-Speakers.pdf\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #800000;\">here<\/span><\/a>.<\/em><\/p>\n<h3 style=\"font-weight: 400;\">CIPHER Conference<\/h3>\n<h4><span style=\"color: #800000;\"><strong>Keynote<\/strong><\/span><\/h4>\n<p><strong>Dr. Peter Lugtig<\/strong>,\u00a0associate professor at the department of \u2018Methods and Statistics\u2019 at Utrecht University, presented\u00a0<strong>keynote <\/strong>address on\u00a0\u201c<strong>What Internet panel surveys can learn from the design of smartphone-app studies<\/strong>.\u201d<\/p>\n<p>Several studies have explored using smartphone-apps as a way to collect social and behavioral data. Some notable successful studies have in recent years been conducted in the context of travel behavior, time use, household consumption, or \u2018in-the-moment\u2019 attitudinal measures about a variety of subjects.<\/p>\n<p>One characteristic of smartphone studies is that they follow participants over a period of time to measure (short-term) changes. This is a goal that they have in common with panel studies, that typically re-interview the same respondents every year or every few months. Apart from overlap in the goal in these types of studies, smartphone-app studies and panel studies have similar problems in terms of dropout, and panel maintenance.<\/p>\n<p>There are however many differences between panel studies and smartphone studies, that partly stem from the primary device that is being used to collect data. Panel studies have either been designed for face-to-face completion (often re-interviewing respondents every year), or for PC\/laptop completion (often re-interviewing respondents monthly or bi-monthly. Smartphone studies usually re-interview respondents daily, or even take continuous measurements, but then last perhaps a few weeks or months in total.<\/p>\n<p>In his keynote, Dr. Lugtig will discuss existing design differences between panel studies and smartphone-app studies using examples from several existing studies. He will discuss the relative strengths of smartphone-apps and panel studies, and their relative weaknesses in the context of the Total Survey Error framework, and will discuss with an overview of what each type of study can learn from each other. To conclude, Dr. Lugtig will outline some possible designs for \u2018hybrid\u2019 studies that use the smartphone to study change over longer periods of time, while including \u2018measurement bursts\u2019 that can be employed to better study life events or short-term change.<\/p>\n<h4><span style=\"color: #800000;\">More Information<\/span><\/h4>\n<p style=\"font-weight: 400;\">2020 has turned out to be an extraordinary year of global health, economic and geopolitical crisis, shattering everyday routines and future expectations across all levels of society. Timely and reliable information on rapidly-changing beliefs and behavior is more important than ever.\u00a0 As COVID-19 has rendered\u00a0 face-to-face interviewing next to impossible while telephone response rates continue to decline,\u00a0 population-representative probability-based internet panels have a key role to play in monitoring crucial developments and shaping the research and policy response. In turn, the heightened need for probability-based household internet panels leads to a renewed urgency for greater transparency, best practice lessons, and accountability in approaches to panel recruitment, retention, and management.<\/p>\n<p>This year\u2019s agenda included the following topics:<\/p>\n<ul>\n<li>Transparency and best practices in probability-based panel recruitment and retention practices;<\/li>\n<li>COVID pandemic and its effects;<\/li>\n<li>Survey methodology and practice;<\/li>\n<li>Experiments;<\/li>\n<li>Data management and linkages;<\/li>\n<li>Developments in analysis techniques;<\/li>\n<li>Applications of research;<\/li>\n<li>Combination of wearable devices data with self-reports;<\/li>\n<li>Naturally occurring data; and<\/li>\n<li>Machine learning.<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">Sponsorship<\/h3>\n<p>This conference has been made\u00a0possible\u00a0through funding from\u00a0a grant partnership between the National Institute on Aging and the Social Security Administration.<\/p>\n<p><em>Closed Captioning available upon request.\u00a0<\/em><\/p>\n<h3 style=\"font-weight: 400;\"><a href=\"https:\/\/dornsife.usc.edu\/cesr\/cipher-conferences\/\">Past CIPHER Conferences<\/a><\/h3>\n\n\n\n<\/div>\n\n\n  <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":208,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-5266","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - 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