Workshops

Methodology of Longitudinal Surveys II
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The following pre-conference workshops will take place at the conference venue on Tuesday 24 July and are open to all conference participants. Workshops can be booked via the conference registration form.

Workshop 1: The mechanics of longitudinal data analysis

Date: Tuesday 24 July, 10.00 - 13.00
Presenter: Oliver Lipps
Venue: LTB3
Fee: £40 / students £25

This workshop will first give a very brief refresher of linear regression and will then introduce panel data and the structure necessary to conduct longitudinal analysis before we study the concept of causality based on the counterfactual approach. Oliver will then explain the idea of fixed effect (FE) models using a small N example. We will start modeling a (pooled) OLS model, then control for a confounding time-constant variable in order to reduce omitted variable bias and finally a FE model in order to eliminate bias from any omitted time-constant variable. Oliver will explain in each step how we come closer to an unbiased regression coefficient.

After introducing the random effect (RE) estimator in the next step, Oliver will then give some (typical) examples of pooled OLS, FE, and RE estimators using data from a large N panel survey. We will finally discuss the Hausman test as a formal tool to decide whether RE models or FE models must be used.

The core of the course is to understand how the FE model works “mechanically”, i.e. how can within-individual transformations be visualized using a small-N example. For the small-N application examples Oliver will provide the corresponding Stata syntax. In addition, participants will learn more about the pros and cons of different longitudinal linear models, including the FE model, the RE model, and the pooled OLS model. Some familiarity with panel data and regression models is assumed.


Workshop 2: Introduction to the Innovation Panel

Date: Tuesday 24 July, 10.00 - 13.00
Presenter: Brendan Read
Venue: LTB5
Fee: Free to attend

This course provides an introduction to the Understanding Society Innovation Panel. Using a mixture of presentations and demonstrations performed using Stata participants will be introduced to the key features of the Innovation Panel.  The course is aimed at new users of the Innovation Panel, as well as those who have so far only made use of simpler aspects of the data.

By the end of the course participants will:

  • Be familiar with the purpose of the Innovation Panel, and know which aspects of the data are the same, and which are different from the main Understanding Society data.
  • Be aware of the available documentation, and in particular where to find information on the experiments carried out in the Innovation Panel.
  • Have been introduced to some of the variables defining experimental treatments and been shown examples of how and when to apply some of these.
  • Have an understanding of some of the potential challenges of using Innovation Panel data and some possible steps to mitigate these.

Workshop 3: Introduction to latent class analysis

Date: Tuesday 24 July, 10.00 - 13.00
Presenter: Alex Cernat
Venue: LTB9
Fee: £40 / students £25

Latent Class Analysis (LCA) is a branch of the more General Latent Variable Modelling approach. It is typically used to classify subjects (such as individuals or countries) in groups that represent underlying patterns from the data. In addition to this application LCA provides a flexible framework that can be used in a wide range of contexts: in evaluation of data quality (e.g., extreme response style, cross-cultural equivalence), in longitudinal studies (e.g., mixture latent growth models, hidden Markov chains), in non-parametric multilevel models, or in joint modelling for dealing with missing data.

In this course you will receive an introduction to the essential topics of LCA such as: what is LCA, how to run models, how to choose between alternative models, how to classify observations and how to predict class membership. You will also see a number of more advanced models that look at longitudinal data. During the course the instructor will show applications of LCA using Latent Gold. The students will also receive data and syntax that runs some of these models using the free software R so they can use it at a later date.


Workshop 4: Longitudinal Studies Showcase

Date: Tuesday 24 July, 14.00 – 18.00
Chair: Jonathan Burton
Venue: LTB6
Fee: Free to attend

This workshop will give attendees a chance to listen to the latest methodological developments from a number of longitudinal studies from around the world. Presenters will have 15 minutes to talk about the studies they are involved with, and the current methodological challenges and opportunities, and will then answer questions for up to 5 minutes. The studies which are showcased are:

  • The Panel Study of Income Dynamics (PSID)
  • The Household, Income and Labour Dynamics in Australia survey (HILDA)
  • Understanding Society: The UK Household Longitudinal Study (UKHLS)
  • The Swiss Household Panel (SHP)
  • The German Socio-Economic Panel (SOEP)
  • The Survey of Health, Ageing and Retirement in Europe (SHARE)
  • The Health and Retirement Study (HRS)
  • The German National Educational Panel Study (NEPS)
  • UK birth cohort studies (1958 National Child Development Study (NCDS), 1970 British Cohort Study (BCS70), the Millenium Cohort Study (MCS), Next Steps)
  • Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC)

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