Regression Analysis using R
Date:
20/04/2021 - 22/04/2021
Organised by:
Social Research Association
Presenter:
Dr Pamela Campanelli
Level:
Advanced (specialised prior knowledge)
Contact:
Lindsay Adams
E: lindsay.adams@the-sra.org.uk (preferred method of contact)
T: 0207 255 0695
Venue: Online
Description:
This live, online course offers hands-on understanding of bivariate, multiple and logistic regression. (Advanced Course).
* This course runs over three consecutive afternoons and uses Zoom software *
Introduction/Overview
It is important to have knowledge of basic statistical tests before taking this advanced course, for example understanding t-tests and chi-square tests. You also need some experience of quantitative data analysis using software and some familiarity with the basics of R Studio. Both R and RStudio need to be downloaded and installed before the course (see Software below).
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.
Objectives
By the end of the workshop, participants will:
- Be able to execute a correlation, bivariate regression, multiple regression and logistic regression and various statistical diagnostics in R.
- Have a good awareness of the statistical concepts behind correlation and regression.
- Have knowledge of the issues which arise with these analysis methods and how to solve these issues.
Topics
The key stages and objectives of the analytical process in qualitative research
- Scatterplots, covariance and correlation
- Bivariate regression
- Multiple regression
- Logistic regression
- Assumptions behind the models
- Creating and using dummy variables
- Building interaction terms
- This course is also an introduction to the R software for these topics
Who will benefit?
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.
Software
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/
Course tutor
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.
Cost:
£440.00 - SRA members pay £330.00
Website and registration:
www.the-sra.org.uk/SRA/training
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis, Regression Methods, Data Visualisation
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Regression Methods
Data Visualisation