Advanced Data Modelling (Online)
Date:
16/07/2024 - 17/07/2024
Organised by:
University of Hertfordshire
Presenter:
Prof Neil H. Spencer
Level:
Advanced (specialised prior knowledge)
Contact:
Prof Neil Spencer, 01707 285529, statistics@herts.ac.uk
Venue: Online
Description:
This two-day course is goes beyond basic statistical analysis techniques (hypothesis testing, regression, etc.) and introduces methods for building predictive models involving multiple factors, covariates and confounding variables. It also includes models for binary, categorical and ordered category variables.
This course is aimed at those with a working knowledge of statistics who wish to learn about or improve their competence and confidence in using more advanced methods of analysing data, including psychologists, behavioural, health and social scientists. You are encouraged to bring your own data for discussion/analysis.
The topics covered in this course are factorial ANOVA, ANCOVA, binary logistic regression, multinomial logistic regression, ordered multinomial logistic regression. These topics will be demonstrated using “jamovi”, which is a free professional-level software package for statistical analysis, based on the R language.
We recommend downloading the free software in advance of the course and can give instructions if needed. Alternatively, remote access to computers in our labs can be arranged.
Prior knowledge of hypothesis testing, ANOVA and regression is essential.
See our full range of courses (and options for bespoke courses) at https://go.herts.ac.uk/sscu or contact the course organiser, Professor Neil Spencer, at statistics@herts.ac.uk.
Cost:
£350
Website and registration:
https://www.applycpd.com/HERTS/courses/117645
Region:
East of England
Keywords:
Quantitative Data Handling and Data Analysis, Regression Methods, ICT and Software, Quantitative Software, Jamovi
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Regression Methods
ICT and Software
Quantitative Software