{"id":626,"date":"2018-10-10T12:45:51","date_gmt":"2018-10-10T19:45:51","guid":{"rendered":"https:\/\/blogs.ubc.ca\/quantitativemethods\/?page_id=626"},"modified":"2019-09-09T13:26:41","modified_gmt":"2019-09-09T20:26:41","slug":"2018-2019-events-2","status":"publish","type":"page","link":"https:\/\/blogs.ubc.ca\/quantitativemethods\/events\/2018-2019-events-2\/","title":{"rendered":"2018\/2019 Events"},"content":{"rendered":"<h4><strong>Summery Events on Quantitative Methods<\/strong><\/h4>\n<p><strong>Network Meta-Analysis for Decision-Making<\/strong><\/p>\n<p>Time: 9:00 AM &#8211; 10:00 AM PDT (12:00 PM &#8211; 1:00 PM EST), Friday, June 7th, 2019<br \/>\nSpeaker: Joseph C. Cappelleri, PhD, Executive Director of Biostatistics, Pfizer Inc., President-Elect of the New England Statistical Society (NESS)<br \/>\nRegistration: RSVP by 11:59 PM, June 5th, 2019.<br \/>\n<a href=\"https:\/\/www.eventbrite.com\/e\/network-meta-analysis-for-decision-making-tickets-61604258997\">https:\/\/www.eventbrite.com\/e\/network-meta-analysis-for-decision-making-tickets-61604258997<\/a><\/p>\n<p><strong>Abstract<\/strong><br \/>\nComparative effectiveness research is a rigorous evaluation of the impact of different treatment options \u2013 some of which may not have been compared directly \u2013 that are available for treating a given medical condition for a particular set of patients. As a key part of comparative effectiveness research, network meta-analysis enables us to combine trials involving different sets of treatments, using a network of evidence, within a single analysis. This integrated and unified analysis incorporates all direct and indirect comparative evidence about treatments. This presentation highlights and illustrates the concepts and assumptions of network meta-analysis.<\/p>\n<p><strong>2019 UBC Research Computing Summer School<\/strong><\/p>\n<p><strong>Date:<\/strong>\u00a0Monday, June 24, 2019\u00a0to\u00a0Thursday, June 27, 2019<br \/>\n<strong>Location:<\/strong>\u00a0University of British Columbia &#8211; Point Grey Campus (Rooms TBA)<br \/>\n<u><a href=\"https:\/\/www.eventbrite.ca\/e\/westgrid-research-computing-summer-school-2019-university-of-british-columbia-tickets-61477886012\">REGISTER HERE\u00a0<\/a><\/u><br \/>\nThis June, WestGrid and the University of British Columbia Advanced Research Computing (ARC) team are hosting their third annual Research Computing Summer School. Courses will explore topics in:<\/p>\n<ul>\n<li>high-performance computing and parallel programming<\/li>\n<li>machine learning<\/li>\n<li>research computing with Python, MATLAB and Chapel<\/li>\n<li>next-generation sequencing<\/li>\n<li>databases on Compute Canada clusters<\/li>\n<li>scientific visualization<\/li>\n<\/ul>\n<p><strong>Bayesian Network Meta-analysis Workshop<\/strong><br \/>\nDate: July 3-4, 2019<br \/>\nSpeaker: Dr. Audrey Beliveau<br \/>\nHost Organizations: Therapeutics Initiative, the Cochrane Hypertension Review Group, and the Department of Statistics<br \/>\nFee: faculty \/ staff = $200; student = $100<\/p>\n<p><strong>Abstract<\/strong>:<br \/>\nDr. Beliveau will cover best-practice guidelines for NMA \u2013 Presentation of the recommendations from NICE, PRISMA and ISPOR for the statistical components of an NMA. The workshop will include discussion of model assessment (fixed vs random-effects models, leverage plots, DIC), assessment of homogeneity and consistency, outputs (SUCRA plots, league tables, forest plot), mathematical description of NMA models (various distribution families and link functions). Bayesian paradigm, trace plots, choice of priors will also be covered. In addition, some hands-on exercises will be delivered in the second day.<\/p>\n<h4><strong>Research Presentation: Uncovering Text Features of Hyper-partisan News using NLP with Deep Learning<br \/>\n<\/strong><\/h4>\n<p><strong>Time<\/strong>: 11am-12pm, Thursday, March 21, 2019<br \/>\n<strong>Location<\/strong>: Educational Library Block, Room 278<br \/>\n<strong>Moderator: <\/strong>Xuyan Tang (MA student in MERM)<br \/>\n<strong>Presenter: <\/strong>Chiyu Zhang (PhD student in iSchool), Xuejun Ryan Ji (PhD student in MERM), &amp; Yadong Liu (PhD student in Linguistics)<\/p>\n<p><strong>Abstract:<\/strong><br \/>\nThis study aims to identify typical text features of hyperpartisan news via a set of text analytic approaches, as well as detect hyperpartisan news by employing\u00a0various learning architectures. We will demonstrate how to use natural language processing techniques to obtain information from text data.<\/p>\n<h4><strong>Research Talk: What the heck are Learning Analytics anyway?<br \/>\n<\/strong><\/h4>\n<p><strong>Time<\/strong>: 11am-12pm, Thursday, Feb 28, 2019<br \/>\n<strong>Location<\/strong>: Educational Library Block, Room 278<br \/>\n<strong>Moderator: <\/strong>Ryan Ji (PhD student, MERM, ECPS)<br \/>\n<strong>Presenter: <\/strong>Dr. Leah Macfadyen, Associate Director, MET, Faculty of Education<\/p>\n<p><strong>Abstract:<\/strong><br \/>\nDevelopments in education and learning technologies in recent decades mean that universities are now awash in data about learners and learning. Online\u00a0teaching tools such as Learning Management Systems (e.g. Canvas), discussion forums, messaging and homework systems, simulations, peer feedback\u00a0environments and audio\/video tools used in flipped or blended courses all collect rich sets of data about learner activity, behaviour, course choices, and\u00a0performance. As a result, we now have a wealth of e-traces about learners, courses, and programs. In this session, I will showcase some concrete examples of\u00a0recent learning analytics projects at UBC and other institutions.<\/p>\n<p>Here is Dr. Macfadyen&#8217;s PowerPoint slides, <span style=\"color: #333399;\"><a style=\"color: #333399;\" href=\"https:\/\/cp.sync.com\/dl\/3bf01c170\/7r9y5qdq-vgdkwy67-sdm84f2w-4eveaagehttps:\/\/cp.sync.com\/dl\/3bf01c170\/7r9y5qdq-vgdkwy67-sdm84f2w-4eveaage\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/cp.sync.com\/dl\/3bf01c170\/7r9y5qdq-vgdkwy67-sdm84f2w-4eveaage<\/a>.<\/span> Another reference about learning analytics:<br \/>\n<a href=\"https:\/\/www.dropbox.com\/s\/4fhp0o3mdqr17ex\/Slade%26Prinsloo%202013.pdf?dl=0\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: #000000;\">Slade, S., &amp; Prinsloo, P. (2013). Learning Analytics: Ethical Issues and Dilemmas. <em>American Behavioral Scientist<\/em>, <em>57<\/em>(10), 1510-1529.<\/span><\/a><\/p>\n<h4><strong>Research Talk: <\/strong><strong>Conceptual Challenges for Methodologies Used to Ensure Fairness and Equity in Assessments, Measures, and Surveys<\/strong><\/h4>\n<p><strong>Time<\/strong>: 11am-12pm, Thursday, Jan. 31, 2019<br \/>\n<strong>Location<\/strong>: Scarfe Building Room 2415<\/p>\n<p><strong>Moderator: <\/strong>Dr. Anita Hubley (Professor, MERM, ECPS)<br \/>\n<strong>Presenter: <\/strong>Dr. Bruno Zumbo (Professor, MERM, ECPS)<\/p>\n<p><strong>Abstract:<\/strong><br \/>\nI wish to share with you a bit of my thinking, and some of my intellectual journey, as I have come to conceptualize and develop methods used to ensure fairness and equity in assessments, measures, and surveys &#8212; in particular differential item functioning (DIF) and measurement invariance. I address two conceptual challenges that have lingered with me and have informed my theoretical developments. I speculate at the end about the ways in which the subject may continue to develop and in which it may connect with other areas of policy, methodology, and philosophy.<\/p>\n<p>Here is a good background reference for you, <a href=\"https:\/\/goo.gl\/qtZ7fz\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/goo.gl\/qtZ7fz<\/a>.<\/p>\n<h4><strong>Power Analysis <\/strong><strong>Workshop<\/strong><\/h4>\n<p><strong>Time<\/strong>: 10am-12pm, Thursday, November 22, 2018<br \/>\n<strong>Location<\/strong>: Scarfe Library Block Room 278<br \/>\n<strong>Presenters:<\/strong><br \/>\nRyan Ji (Ph. D. student, MERM program, UBC)<br \/>\nBen Hives (M.Sc. student, School of Kinesiology)<\/p>\n<p><strong>Outline of the workshop:<\/strong><br \/>\nPower Analysis is used to determine an adequate sample size needed to detect a given effect size for a planned study. It can also be used to determine the power, given an effect size and a sample size.<\/p>\n<p>In this workshop, we will approach power analysis conceptually other than mathematically, then we will provide demonstrations via <em>GPower<\/em> for t-test (independent samples and paired samples), ANOVA, Repeated-Measures ANOVA, Mixed-Design ANOVA, and Multiple Linear Regression. Finally, we will discuss the difference between prospective power analysis and retrospective power analysis, and why the retrospective power analysis should be avoided.<\/p>\n<h4><strong>Research Talk: Response Process as a Source of Validity Evidence<\/strong><\/h4>\n<p><strong>Time:<\/strong> 11am-12pm, October 25, 2018 (Thursday)<br \/>\n<strong>Location<\/strong>: Scarfe Library Block Room 278<br \/>\n<strong>Moderator<\/strong>: Vicki Knight (Assistant Professor, Special Education, ECPS)<br \/>\n<strong>Speaker<\/strong>:<br \/>\nAnita Hubley (Professor, MERM, ECPS)<\/p>\n<p><strong>Abstract:<\/strong><br \/>\nWhat are people doing, thinking, or feeling when completing measures or tasks? Response processes are an opportunity for us to better understand the meaning of scores. Dr. Hubley will discuss what response processes are (and are not), their importance, the current state of response processes research, and how to examine this source of validity evidence. Hubley and Zumbo (2017) is a good chapter to set the tone for this talk. You can download the chapter from <a href=\"https:\/\/www.dropbox.com\/s\/2boaph1ksduooi1\/Hubley%20%26%20Zumbo%202017%20Chap%201.pdf?dl=0\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n<h4><strong>Panel Discussion: Validation Framework in Mixed Methods Research<\/strong><\/h4>\n<p><strong>Time:<\/strong> 11am-12:30pm, September 27, 2018 (Thursday)<br \/>\n<strong>Location<\/strong>: Scarfe Library Block Room 278<br \/>\n<strong>Moderator<\/strong>: Yan Liu (Assistant Professor, MERM, ECPS)<br \/>\n<strong>Discussants<\/strong>:<br \/>\nAmery Wu (Associate Professor, MERM, ECPS)<br \/>\nRichard Young (Professor, Counselling Psychology, ECPS)<\/p>\n<p><strong>Abstract:<\/strong><br \/>\nMixed methods have been widely used by researchers in all kinds of fields. However, how do we understand validity and use validation in mixed methods research has not been widely discussed. Drs. Wu and Richard will discuss issues of validity and validation in\u00a0 mixed methods research. We will also invite our audience to join our conversations. <a href=\"https:\/\/goo.gl\/2pMKKY\" target=\"_blank\" rel=\"noopener noreferrer\">Dellinger and Leech (2007)<\/a> is a good background reading for this discussion. You can download the paper from <a href=\"https:\/\/goo.gl\/2pMKKY\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"post-excerpt\">Summery Events on Quantitative Methods Network Meta-Analysis for Decision-Making Time: 9:00 AM &#8211; 10:00 AM PDT (12:00 PM &#8211; 1:00&#8230;<\/p>\n","protected":false},"author":41823,"featured_media":0,"parent":28,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-626","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/pages\/626","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/users\/41823"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/comments?post=626"}],"version-history":[{"count":12,"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/pages\/626\/revisions"}],"predecessor-version":[{"id":690,"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/pages\/626\/revisions\/690"}],"up":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/pages\/28"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/quantitativemethods\/wp-json\/wp\/v2\/media?parent=626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}