An introduction to longitudinal child and youth data analysis using cohort and panel data - online

Description:

This one-day workshop will:

• Discuss the data management techniques needed to use child and youth data (merging data, creating variables, linking parental data) and how these may differ based on the type of data (panel, cohort). 
• Refresh the basic analytical methods for longitudinal analysis of child and youth data (OLS regression, fixed and random effects models and path models).
• Show how to implement these data management and analytical techniques in child and youth data using practical examples.

The course covers:

• Data management

• Basic cohort and panel data analysis

• Running simple data analysis on real data sets

By the end of the course participants will:

• Understand the activities needed to prepare both cohort and panel data for analysis 
• Have reviewed the basic regression and panel data methods that can be used to analyse child and youth cohort and panel dat
• Be able to prepare child and youth cohort and panel data and run basic regression models

Pre-requisites:

Some prior knowledge of programming would be desirable but not essential.  Experience with some statistical package should be sufficient to understand and run the exercises. Ideally, if you want to participate in the practical element of the course, have Stata (at least version 12) or R installed on your computer. 

Course Format:

One-day course, starting 9.30PM and finishing 4.30PM, with an one hour lunch break. Morning will be standard teaching/discussion and afternoon will be guided examples. 

Presenter:

Cara Booker is a senior research fellow at the Institute for Social and Economic Research (ISER). Her current research interests are in the social determinants of adolescent physical and mental health. She has experience in analysing child and youth data from both cohort and panel studies.

Cost:

The fee per teaching day is £35 per day for students / £75 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector / £250 per day for all other participants. In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Register for this course

Region:

International

Keywords:

Longitudinal Research , Panel survey, Cohort study, Data Management , Ordinary least squares (OLS), Panel data models

Related publications and presentations from our eprints archive:

Longitudinal Research
Panel survey
Cohort study
Data Management
Ordinary least squares (OLS)
Panel data models

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