Regression Analysis using R
|Social Research Association|
Dr Pamela Campanelli
20/04/2021 - 22/04/2021
Online using Zoom
* This course runs over three consecutive afternoons and uses Zoom software *
Regression analysis is one of the most widely used statistical methods. Dr. Pamela Campanelli is bringing this popular University of Hong Kong course to the SRA for the first time. Rather than simply putting in computer code, learn the statistical concepts behind the software. Learn about correlation and bivariate, multiple and logistic regression using data from a health survey. Learn how to use the R software to make these analyses. The course is highly interactive and there are workshop sessions for discussing and understanding the statistical concepts as well as for practicing with the R software.
By the end of the workshop, participants will:
The key stages and objectives of the analytical process in qualitative research
People with a good understanding of basic statistics, who want to expand their knowledge to regression and the R software for regression. The course is also for people who want knowledge of these topics for critiquing the work of others.
You will need to download R and then R Studio BEFORE the course. This website gives useful instructions on how to do this for Mac and Windows users. Note that you do NOT need to install the SDSFoundations Package. https://courses.edx.org/courses/UTAustinX/UT.7.01x/3T2014/56c5437b88fa43cf828bff5371c6a924/
Dr Pamela Campanelli is a Survey Methods Consultant and runs The Survey Coach business. She is also a Chartered Statistician, Chartered Scientist and Fellow of the Academy of Social Sciences. She has worked at the University of Michigan, the U.S. Bureau of the Census, ISER at the University of Essex, and NatCen Social Research. She has both led and been a team member on ESRC grants (one on survey nonresponse and one on measurement error in mixed mode surveys). She regularly teaches short courses in the UK and abroad for government departments, survey research companies, universities, as well as for various other institutions and businesses.
Advanced (specialised prior knowledge)
£440.00 - SRA members pay £330.00
Website and registration
Quantitative Data Handling and Data Analysis, Regression Methods, Data Visualisation
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