Short Courses

This workshop will involve a mixture of interactive lecture-type sessions and practical examples using real-life epidemiological datasets in Mplus. 

Course date: Wednesday 13th September 2023 (1-day course) 9.30 – 4.30
Location: Coleraine
Instructor: Professor Gary Adamson

Summer School application closing date: Closing date for applications is Friday 7th July 2023, 5 pm.

Student: £110 (more than one course £99)
Educational/charitable sector: £165 (more than one course £148.50)
Government/commercial sector:  £200 (more than one course £180)

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

Summer School Cancellation Policy
Cancellations made prior to Friday 7th July 2023: full refund less administration fee of £50.
Cancellations made after Friday 7th July 2023: no refund.

General course contact - Jennie Reid, Statistics Summer School Administrator
Email: [email protected]  

This course provides students with an introduction to latent variable modelling – an ever increasingly used approach in the behavioural and social sciences.

Course dates: Monday 11th September and Tuesday 12 September 2023 (2-day course) 9.30 – 4.30
Location: Coleraine
Instructor: Professor Mark Shevlin

Summer School application closing date:  Closing date for applications is Friday 7th July 2023, 5 pm.

Student: £220 (more than one course £198)
Educational/charitable sector: £330 (more than one course £297)
Government/commercial sector:  £400 (more than one course £360)

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

Summer School Cancellation Policy
Cancellations made prior to Friday 7th July 2023: full refund less administration fee of £50.
Cancellations made after Friday 7th July 203: no refund.

General course contact - Jennie Reid, Statistics Summer School Administrator
Email: [email protected]  

The analysis of change is central to much psychological and social research. Latent Growth Models (LGM) are an important class of models for the assessment of change.

This workshop will use the Mplus programme.  It is expected that participants will have some knowledge and understanding of Structural Equation Modelling.

Course dates: Thursday 14th September to Friday 15th September 2023 (2-day course) 9.30 – 4.30
Location: Coleraine
Instructor: Professor Gary Adamson and Professor Mark Shevlin 

Summer School application closing date:  Closing date for applications is Friday 7th July 2023, 5 pm.

Student: £220 (more than one course £198)
Educational/charitable sector: £330 (more than one course £297)
Government/commercial sector:  £400 (more than one course £360)

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

Summer School Cancellation Policy
Cancellations made prior to Friday 7th July 2023: full refund less administration fee of £50.
Cancellations made after Friday 7th July 203: no refund.

General course contact - Jennie Reid, Statistics Summer School Administrator
Email: [email protected]  

This 2-day short course is designed for individuals who have little or no experience using statistical software such as SPSS or who may need a refresher course on methods of dealing with quantitative data.

Course Dates: Thursday 31 August and Friday 1 September 2023  (2-day course) 9.30 – 4.30
Location: Coleraine Campus
Instructor: Dr James Houston

Summer School application closing date:  Closing date for applications is Friday 7th July, 5 pm.

Student: £220 (more than one course £198)  
Educational/charitable sector: £330 (more than one course £297)
Government/commercial sector:  £400 (more than one course £360)

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

Summer School Cancellation Policy
Cancellations made prior to Friday 7th July 2023: full refund less administration fee of £50.
Cancellations made after Friday 7th July 2023: no refund.

General course contact - Jennie Reid, Statistics Summer School Administrator
Email: [email protected]  

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.

Course dates: Wednesday 6th September to Friday 8 September 2023 (3-day course) 9.30 – 4.30
Location:  Coleraine
Instructors: Dr John Mallett, Professor Gary Adamson, and Professor Mark Shevlin

Summer School application closing date: Closing date for applications is Friday 7th July 2023, 5 pm.

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)

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

Summer School Cancellation Policy
Cancellations made prior to Friday 7th July 2023: full refund less administration fee of £50.
Cancellations made after Friday 7th July 2023: no refund.

General course contact - Jennie Reid, Statistics Summer School Administrator
Email: [email protected]  

This two-day course will introduce participants to important open science practices in the social sciences including the pre-registration of study hypotheses, experimental design and plans for data analysis, as well as processes and procedures for sharing research data and analytic code. 

Course dates:  Monday 4th September and Tuesday 5th September 2023 (2-day course) 9.30 – 4.30
Location: Coleraine Campus
Instructor: Dr Eoin McElroy and Professor Victoria Simms

Summer School application closing date:  Closing date for applications is Friday 7th July 2023, 5 pm.

Student: £220 (more than one course £198)
Educational/charitable sector: £330 (more than one course £297)
Government/commercial sector:  £400 (more than one course £360)

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

Summer School Cancellation Policy
Cancellations made prior to Friday 7th July 2023: full refund less administration fee of £50.
Cancellations made after Friday 7th July 2023: no refund.

General course contact - Jennie Reid, Statistics Summer School Administrator
Email: [email protected]