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Nicholas Shryane

Dr, Dr

Personal profile



I would be pleased to talk to students interested in modelling individual and social data using latent variable methods, such as multilevel and structural equation models.

Projects on modelling beliefs and attitudes and ones on modelling change over time would be particularly welcome.



I'm a lecturer in the Social Statistics discipline area in the School of Social Sciences, and a member of the Cathie Marsh Institute for Social Research. I've been at the University of Manchester since 2004, previously I was an applied / occupational psychologist at City and Hull Universities.

Research interests

I am interested in the modelling of complex psychosocial systems, attempting to describe and understand the circumstances, attitudes and behaviours of individuals in their social environment. I'm particularly interested in the application of these methods to issues of serious mental health and social enfranchisement.

Latent Variable modelling

I specialize in statistical analysis using latent variables. This provides a way of studying many of the important aspects of psychosocial systems that aren't directly observable or measurable. Common terms such as 'mental health', 'social capital' and 'ethnicity' actually describe latent variables, hypothetical constructs that we use to make sense of the things we do see in the world around us.

Specifically, I use general latent variable modelling software (e.g. gllamm, Mplus) to fit:

  • Structural Equation Models, to assess causal, mediation hypotheses
  • Latent Growth Curve Models, to analyse change over time
  • Mixed Multinomial Logit Models, to analyse preferences and choice, e.g. voting
  • Factor- and Item-Response Theory Mixture Models, to analyse patterns of individual behaviours and questionnaire responses.

Follow the link below to watch me give a five minute introduction to Structural Equation Modelling, using a tea towel:


Supervision information


Independent singles and the temporal organisation of everyday life : timing, temporal dispositions, and temporal strategies for coordinating daily practices.

Author: Whillans, J., 2012
Supervisor: Shryane, N. (Supervisor) & Southerton, D. (Supervisor)

UoM administered thesis: PhD

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 10 - Reduced Inequalities
  • SDG 13 - Climate Action
  • SDG 16 - Peace, Justice and Strong Institutions

Research Beacons, Institutes and Platforms

  • Digital Futures
  • Institute for Data Science and AI
  • Cathie Marsh Institute


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Collaborations and top research areas from the last five years

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