Introduction to R for the Analysis of Educational Data
Date:
09/05/2016
Organised by:
University of Oxford
Presenter:
Daniel Caro
Level:
Intermediate (some prior knowledge)
Contact:
Description:
This course will introduce the R programming language for statistical analysis in the RStudio graphical user interface. During the morning participants will learn the basics of the R language and data analysis in R, including how to create and import data, calculate descriptive statistics, perform regression analysis, and conduct analysis by grouping variables. In the afternoon, international assessments and related data analysis challenges (e.g., plausible values, replicate weights) will be introduced. Hands-on exercises will reproduce main results in international assessment reports with the R package 'instvy' (http://users.ox.ac.uk/~educ0279/). The last part of the workshop will be dedicated to an assignment and answering questions.
Course prerequisites: It is assumed that participants will have a background in basic statistical methods up to, and including, regression analysis. Some familiarity with syntax language from other statistical packages (e.g., Stata, SPSS) is desirable.
Contents:
09:00 - 09:30 Welcome, agenda, software installation
09:30 - 10:45 Brief introduction to R
10:45 - 11: 00 Break
11:00 - 12:30 R basics for data analysts
12:30 - 13:00 Lunch
13:00 - 13:30 Complex design of international assessments
13:30 - 15:00 Using 'intsvy' to analyse international assessment data
15:00 - 15:15 Break
15:15 - 16:00 Practise session
Please note that car parking is not available at the venue. Please visit https://www.ox.ac.uk/visitors/visiting-oxford/how-get-oxford?wssl=1 and http://www.manor-road.ox.ac.uk/index.php/finding-us-google-map.html for further information on public transport and park and ride options.
Cost:
£100 for external students
Website and registration:
http://www.oxforduniversitystores.co.uk/browse/product.asp?compid=1&modid=2&catid=133
Region:
South East
Keywords:
Quantitative Data Handling and Data Analysis
Related publications and presentations:
Quantitative Data Handling and Data Analysis