Advanced Quantitative Analysis with ‘R’: Hierarchical Linear Modelling
This two-day course is aimed at introducing the capabilities of the R software environment for quantitative data analysis.
Dates:15-16 March 2017
Times: 09.30-17.30 (two days)
Venue:Leeds Institute for Data Analytics (LIDA), Worsley Building, Level 11, Room 11.06 (University of Leeds)
R is a unique environment for statistical programming and quantitative data analysis; it is free, versatile and relatively straightforward despite the intricacy of syntax-based communication. Starting from basic linear regression analysis the course will set out the rationale and computational features of advanced hierarchical linear modelling (HLM) involving its value for longitudinal data analysis and categorical outcome variables.
Dr Danat Valizade is a Lecturer in Quantitative Methods in Leeds University Business School at the University of Leeds
Dr Albert Varela is a Lecturer in Quantitative Methods in the School of Sociology and Social Policy at the University of Leeds
Programme
Day 1: Introduction to linear regression analysis and multilevel modelling in R
09.30-10.00Registration and welcome
10.00-11.30Introduction to R: interface, data manipulation, packages
11.30-11.45 Comfort break
11.45-13.00Linear regression analysis in R
13.00-14.00Lunch
14.00-15.30Introduction to multilevel modelling
15.30-15.45Comfort break
15.45-17.30Multilevel modelling: random intercept models in R (package lme4)
Day 2: Multilevel modelling in R: random coefficients, longitudinal data and categorical response variables
09.30-11.15Multilevel modelling: random slopes (random coefficients)
11.15-11.30Comfort break
11.30-12.30Fitting random coefficients and cross-level interactions in R
12.30-13.30Lunch
13.30-16.00Multilevel growth modelling
16.00-16.15Comfort break
16.15-17.30Multilevel analysis with categorical response variables
Directions to the University of Leeds
file:///C:/Users/busjec/Downloads/campus_map_2016.pdf
The Worsley Building is number 95 on the downloadable map. The training suite is located on the 11th floor in this building.
To register your interest, click on the orange button on the event page:
You will receive notification if a place is allocated to you. Please do not make any travel arrangements until you have received confirmation of a place. We have a limited number of places available on NARTI events and if at any time you need to withdraw your registration or cancel your place please inform us immediately so that we can offer the place to someone else.
It is expected that you participate for the full duration of the event and allow sufficient time for travelling to the venue.
NARTI and the host institutionwill cover the full cost of the event and participants are asked to cover the cost of any travel and accommodation as required.
For further details about this or any other NARTI event, please contact Jo Garrick at