General Linear Model with applications in ANOVA, Regression Analysis and Factor Analysis

Date:

01/09/2021 - 03/09/2021

Organised by:

Ulster University

Presenter:

Dr John Mallett, Professor Gary Adamson, Professor Mark Shevlin

Level:

Intermediate (some prior knowledge)

Contact:

Dr Orla McBride
+442870123987
o.mcbride@ulster.ac.uk

video conference logo

Venue: Online

Description:

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.

 

Course fees:

Student: £330 (more than one course £297)

Educational/charitable sector: £495 (more than one course £445.50)

Government/commercial sector:  £600 (more than one course £540)

10% discount will be given where the booking is for more than one short course. 

 

Attendance: 9:30am-4:30pm daily

Cost:

Student discount available. Multiple course booking available

Website and registration:

Region:

Northern Ireland

Keywords:

Quantitative Data Handling and Data Analysis, Regression Methods, Principal components analysis, Factor analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Regression Methods
Principal components analysis
Factor analysis

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