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SUMMARY:Introduction to Linear Regression Analysis (Online)
DESCRIPTION:This one-day course will be offered online only. Attendance is required – this course will not be recorded. \nThis course is designed to develop quantitative research skills with practical applications in social science contexts. It will focus on key topics such as the analysis of ordinary least squares (OLS)\, methods for estimating bivariate and multivariate regression models\, assessing the overall goodness of model fit\, and hypothesis and diagnostic tests. Participants will also receive insights into research design\, data management\, statistical analysis\, and interpreting research outcomes. \nThe course adopts a “learning by doing” approach\, delving into major themes in regression analysis through detailed examples. These examples illustrate the practical application of the regression concepts using the statistical program R. \nThis course will count as 6.0 CSS short course hours. \nInstructor: Patrick Shea\nPatrick Shea is a Senior Lecturer in International Relations at the University of Glasgow’s School of Social and Political Sciences. He received his Ph.D. in political science from Rutgers University. Patrick’s research focuses on international relations\, the political economy of conflict processes\, debt politics\, and statistical analysis. His work can be found in the British Journal of Political Science\, Economics & Politics\, European Journal of International Relations\, International Studies Quarterly\, the Journal of Conflict Resolution\, the Journal of Peace Research\, the Journal of Politics\, and Statistics\, Politics and Policy\, among other outlets. \nRegistration fees:\n\nUNC Chapel Hill Students: $0\, with a $35 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)\nUNC Chapel Hill Faculty/Staff/Postdoc/Resident/Visiting Scholars: $80\nNon-UNC Chapel Hill University Student/Employee (must have active university email): $105\nGovernment/Non-Profit/Corporate: $130\n\nAdditional course information:\n\nCancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class\, no refund will be given. Please allow 30 days to receive your refund.\nZoom link for those attending online will be sent prior to the course. Registration must be made at least 1 day prior to the course date to receive the Zoom link.
URL:https://research.unc.edu/event/introduction-to-linear-regression-analysis-online-2/
CATEGORIES:UNC Research
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DTSTART;TZID=America/New_York:20250122T090000
DTEND;TZID=America/New_York:20250122T150000
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CREATED:20241219T195609Z
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UID:10000076-1737536400-1737558000@research.unc.edu
SUMMARY:Odum Institute: Introduction to Linear Regression Analysis
DESCRIPTION:This course is designed to develop quantitative research skills with practical applications in social science contexts. It will focus on key topics such as the analysis of ordinary least squares (OLS)\, methods for estimating bivariate and multivariate regression models\, assessing the overall goodness of model fit\, and hypothesis and diagnostic tests. Participants will also receive insights into research design\, data management\, statistical analysis\, and interpreting research outcomes. The course adopts a “learning by doing” approach\, delving into major themes in regression analysis through detailed examples. These examples illustrate the practical application of the regression concepts using the statistical program R.
URL:https://research.unc.edu/event/odum-institute-introduction-to-linear-regression-analysis/
CATEGORIES:UNC Research
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DTSTART;TZID=America/New_York:20250124T120000
DTEND;TZID=America/New_York:20250124T130000
DTSTAMP:20250613T204846Z
CREATED:20241219T201312Z
LAST-MODIFIED:20250613T204846Z
UID:10000075-1737720000-1737723600@research.unc.edu
SUMMARY:Interdisciplinary Research Seminar Series: Fernando Colcero
DESCRIPTION:Fernando Colcero will present as part of the Carolina Population Center’s 2024-2025 Interdisciplinary Research Seminar Series. \nTopic: TBD \nFernando Colcero is a statistical and mathematical ecologist and the leader of the Statistical Demography Group. His work focuses on developing and applying methods for demography and population dynamics.
URL:https://research.unc.edu/event/interdisciplinary-research-seminar-series-fernando-colcero/
LOCATION:Carolina Square Room 2002\, 123 W. Franklin St.\, Chapel Hill\, NC\, 27516
CATEGORIES:UNC Research
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