Research Methods and Statistics Summer School

Date:

20/08/2018 - 31/08/2018

Organised by:

Ulster University

Presenter:

Dr Orla McBride
Professor Mark Shevlin
Professor Jamie Murphy
Professor Gary Adamson
Dr James Houston
Dr John Mallett

Level:

Intermediate (some prior knowledge)

Contact:

Dr Orla McBride
+44 (0)2871675341
o.mcbride@ulster.ac.uk

Map:

View in Google Maps  (BT52 1SA)

Venue:

Cromore Road, Coleraine, Co. Londonderry

Description:

The School of Psychology at Ulster University is hosting a Research Methods and Statistics Summer School for the Behavioural and Social Sciences.

The Summer School runs over a two-week period and comprises five short courses:

  • Descriptive & Inferential Statistics in SPSS
  • General Linear Model with applications to ANOVA, Regression Analysis and Factor Analysis
  • An Introduction to Latent Variable Modelling using Mplus
  • An Introduction to Latent Class Analysis using Mplus
  • Analysing Longitudinal Data: Using Latent Variable Models to Assess Change (using Mplys)

Each short course will include lecture and workshop components to facilitate a conceptual understanding and to provide hands-on experience of data analysis using standard software.

These short courses are designed both for participants interested in developing basic research and analytic skills and those wanting to gain more advanced statistical and analytic knowledge.

Course instructors are experienced academics with substantial expertise in quantitative research methods.

Cost:

Daily rate:
£150 (Full Fee)
£100 (Concessionary Fee for Unwaged/Students/Charitable Sector Workers - evidence will be required)
£127.50 (Full Fee booking with more than one course)
£85 (Concessionary Charge with more than one course)

Website and registration:

Region:

Northern Ireland

Keywords:

Quantitative Data Handling and Data Analysis, Descriptive Statistics, Regression Methods, Longitudinal Data Analysis, Latent Variable Models, Non-Parametric Approaches

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Descriptive Statistics
Regression Methods
Longitudinal Data Analysis
Latent Variable Models
Non-Parametric Approaches

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