General linear model with applications to ANOVA, regression analysis, and factor analysis
Date:
06/09/2023 - 08/09/2023
Organised by:
Ulster University
Presenter:
Dr John Mallett, Professor Gary Adamson and Professor Mark Shevlin
Level:
Intermediate (some prior knowledge)
Contact:
Description:
This 3-day course provides participants with a firm working knowledge of a wide range of statistical models used in the behavioural and social sciences.
These models also serve as the fundamental building blocks for advanced statistical models and will be particularly useful for those participants wishing to take more advanced short-courses e.g. the Latent Variable Modelling course.
The course begins by exploring the general linear model and its application in ANOVA, ANCOVA, MANOVA and MANCOVA with repeated measures models.
The course will describe simple bivariate regression and correlation and build gradually to the multivariate case, which incorporates several predictor variables. In addition to examining regression models with a continuous outcome variable, time will be devoted to data situations in which the outcome variable is either dichotomous or polytomous, i.e. binary and multinomial logistic regression models.
Moreover, exploratory factor analysis (EFA) will be covered in some depth, with the focus on its usefulness as a data reduction method: the EFA model primarily involve reducing a large number of observed variables to a lesser number of latent factors, the purpose of which is to explain the structural relationship between the observed variables parsimoniously.
The course will conclude with an introduction to the Confirmatory Factor Analysis models and its applications using advanced statistical software.
The assumptions underpinning the use of all techniques will be considered throughout the short course, together with identifying some strategies for assessing potential violations.
Each element of the course will begin with a lecture to provide participants with a sound conceptual understanding of each statistical model and its application.
However, greater emphasis will be placed on practical activity, with participants gaining experience using a hands-on approach to reinforce the learning concepts and to ensure that participants are able to perform the desired analysis and appropriately interpret the output.
Days 1 and 2 will be taught primarily using SPSS software with Day 3 using both SPSS and Mplus.
Cost:
Student: £330; Educational/charitable sector: £495; Government/commercial sector: £600
Website and registration:
Region:
Northern Ireland
Keywords:
Frameworks for Research and Research Designs, Quantitative Data Handling and Data Analysis
Related publications and presentations from our eprints archive:
Frameworks for Research and Research Designs
Quantitative Data Handling and Data Analysis