Statistics Summer School
Structure and Content
The Summer School allows attendees to select a short-course best suited to their current analytic requirements, while at the same time offering the opportunity to expand and build their expertise by taking a series of linked short-courses.
For example, a participant can learn about regression and factor analysis models, prior to taking the more advanced short-course on latent variable modelling.
For the extremely keen novice researcher, it is possible to take all of the short-courses to cumulatively build their research and statistics skills over the Summer School period.
To get the most out of the Summer School, participants are encouraged to consider the content of each short-course closely and to decide if they have the requisite background knowledge.
To help inform your short-course selection, instructors have provided a description of the short-course and a list of desired prerequisites.
Each short-course will also provide an opportunity for attendees to discuss their own data and be offered advice on appropriate forms of analysis.
Attendees will also be provided with a take-home memory stick containing the learning materials used during the short-course and a certificate of attendance.
Summer School 2019 booking is now closed.
Delegates will receive an email confirming details of their chosen course(s) in the week prior to the course starting.
Closing date for applications was 30th June 2019.
Information on Short Courses
**NEW for 2019**
Short course 1 - Introduction to R (with applications to network analysis)
Dates: 29th-30th August 2019
Course Instructor: Dr Juliana Gerard and Dr Eoin McElroy
Short course 2 - Descriptive and Inferential Statistics in SPSS
Dates: 2nd-3rd September 2019
Course Instructor: Dr James Houston
Short course 3 - General Linear Model with applications to ANOVA, Regression Analysis and Factor Analysis
Dates: 4th-6th September 2019
Course Instructors: Dr John Mallett, Professor Jamie Murphy and Professor Gary Adamson
Short course 4 - An Introduction to Latent Variable Modelling
Dates: 9th-10th September 2019
Course Instructor: Professor Mark Shevlin
Short course 5 - An Introduction to Latent Class Analysis
Date: 11th September 2019
Course Instructor: Dr Orla McBride
Short course 6 - Analysing Longitudinal Data: Using Latent Variable Models to Assess Change
Dates: 12th-13th September 2019
Course Instructor: Professor Gary Adamson
Summer School attendees have two options for accredited continuing professional development (CPD) available to them linked to the short course content:
- Stand alone-credit bearing modules (ranging from 10-20 credits)
- A Postgraduate Certificate (PgCert) in Quantitative Methods for the Behavioural and Social Sciences (60-credits).
The PgCert is delivered via blended learning on a full-time or part-time basis, allowing students to continue their studies online after the Summer School. More information is provided in the video below.
If you require any additional information in relation to the accredited training options, please contact Dr Orla McBride using the contact details below.
PgCert in Quantitative Methods for the Behavioural and Social Sciences
If you require any additional information, please feel free to contact Dr Orla McBride.