Events at The University of Manchester
  • University home
  • Events
  • Home
  • Exhibitions
  • Conferences
  • Lectures and seminars
  • Performances
  • Events for prospective students
  • Sustainability events
  • Family events
  • All Events

Introduction to Longitudinal Data Analysis - Online

image
Dates:27 January 2023 - 24 February 2023
Times:All day
What is it:Short course
Organiser:Cathie Marsh Institute for Social Research
How much:£150/£300/£500
Who is it for:University staff, External researchers, Adults, Current University students
Speaker:Dr Alex Cernat
See travel and contact information
Add to your calendar

More information

  • Booking

Other events

  • In category "Short course"
  • By Cathie Marsh Institute for Social Research

Longitudinal data is essential in a number of research fields as it enables analysts to concurrently understand aggregate and individual level change in time, the occurrence of events and improves our understanding of causality in the social sciences.

In this course you will learn both how to clean longitudinal data as well as the main statistical models used to analyse it. The course will cover three fundamental frameworks for analysing longitudinal data: multilevel modelling, structural equation modelling and event history analysis. The course is organized as a mixture of lectures and hands on practicals using real world data. During the course there will also be opportunities to discuss also how to apply these models in your own research.

Objectives:

  • To gain competence in the concepts, designs and terms of longitudinal research;
  • To be able to apply a range of different methods for longitudinal data analysis;
  • To have a general understanding of how each method represents different kinds of longitudinal processes;
  • To be able to choose a design, a plausible model and an appropriate method of analysis for a range of research questions.

The course will be spread over five days of teaching in five different weeks:

Topics covered by day: 27.01.23 - Data cleaning and visualization of longitudinal data 03.02.23 - Cross-lagged models (covering also an introduction to Structural Equation Modelling and auto-regressive models) 10.02.23 - Multilevel model of change (covering also an introduction to multilevel modelling) 17.02.23 - Latent Growth Modelling 24.02.23 - Survival models (also known as event history analysis)

Teaching will take place online (using Zoom) between 09:00 to 16:00 UK time. There will be 1 hour lunch break from 12:00 to 13:00.

Prerequisites

  • Good knowledge of regression modelling
  • Basic knowledge of R or good programming experience with a different statistical software

Recommended reading

  • Wickham, H., & Grolemund, G. (2016). R for data science: Import, tidy, transform, visualize, and model data (First edition). O’Reilly. (also available free online)
  • Singer, J., & Willett, J. (2003). Applied longitudinal data analysis: modeling change and event occurrence. Oxford University Press.
  • Newsom, J. T. (2015). Longitudinal Structural Equation Modeling: A Comprehensive Introduction. Routledge.

Price: £150/£300/£500

Speaker

Dr Alex Cernat

  • https://www.alexcernat.com/

Travel and Contact Information

Find event

Online Only

Contact event

claire spencer

+441612754579

claire.spencer@manchester.ac.uk

Contact us

  • +44 (0) 161 306 6000

Find us

The University of Manchester
Oxford Rd
Manchester
M13 9PL
UK

Connect with the University

  • Facebook page for The University of Manchester
  • X (formerly Twitter) page for The University of Manchester
  • YouTube page for The University of Manchester
  • Instagram page for The University of Manchester
  • TikTok page for The University of Manchester
  • LinkedIn page for The University of Manchester

  • Privacy /
  • Copyright notice /
  • Accessibility /
  • Freedom of information /
  • Charitable status /
  • Royal Charter Number: RC000797
  • Close menu
  • Home
    • Featured events
    • Today's events
    • The Whitworth events
    • Manchester Museum events
    • Jodrell Bank Discovery Centre events
    • Martin Harris Centre events
    • The John Rylands Library events
    • Exhibitions
    • Conferences
    • Lectures and seminars
    • Performances
    • Events for prospective students
    • Sustainability events
    • Family events
    • All events