International comparisons using PISA and other large-scale assessment data
This module is an introduction into quantitative methods for comparisons of educational achievement across countries. The module aims to familiarise students with the key OECD databases (e.g. PISA; PIAAC) and describe the statistical methods used to draw robust comparisons across countries.
The International comparisons using PISA and other large-scale assessment data course offered in partnership with the National Centre for Research Methods (NCRM) will enable students to learn how to analyse a large international database using Stata.
Main subject areas covered on this course
- Why drawing comparisons across countries is an interesting and important topic
- Testing for measurement invariance across countries
- Item response theory, population modelling and the use of plausible values
- Testing for statistical significance across countries
- Understanding and accounting for complex survey designs
- Effective methods for presenting results from cross-national analyses
- How to use Stata to produce such comparisons.
Who the course is for
The target audience for this course are PhD researchers, Postdoctoral researchers, Government researchers, professionals working in Education, Economics, Sociology and Psychology.
The level of this course is Entry / Intermediate and participants are expected to have a basic knowledge of Stata or R.
Course structure and dates
Each session will be mirrored by a practical workshop seminar where students will put the analytical techniques introduced in the lectures to use.
The short course will last two days and each session will be mirrored by a practical workshop seminar where students will put the analytical techniques introduced in the lectures to use.
Day 1
- 09:30am-11:00am Why and how to conduct cross-national comparisons. The basics (live synchronous)
- 11:00am-12:30pm Computer workshop 1. Students work through worksheet at their own pace
- 12:30pm-1:30pm Lunch break
- 1:30pm-3:00pm Sample design in large-scale international assessment (live synchronous)
- 3:00pm-4:30pm Computer workshop 2. Students work through worksheet at their own pace.
Day 2
- 09:30am-11:00am Nuts and bolts of international comparisons (live synchronous)
- 11:00am-12:30pm Computer workshop 3. Students work through worksheet at their own pace
- 12:30pm-1:30pm Lunch break
- 1:30pm-3:00pm How PISA/PIRLS/TIMSS/PIAAC test scores are generated (live synchronous)
- 3:00pm-4:30pm Computer workshop 4. Students work through worksheet at their own pace.
Learning outcomes
By the end of the course, students should be able to use the OECD database to conduct robust international comparisons.
Fees
- £30 per day for students registered at UK/EU University
- £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
- £100 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 it's control, NCRM reserves the right to cancel the course at its sole direction at any time prior to the event. In this event every effort will be made to reschedule de 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 it's cancellation of a course, including but not limited to any travel or accommodation costs.
How to apply for this course
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John Jerrim’s research interests include the economics of education, access to higher education, intergenerational mobility, cross-national comparisons and educational inequalities. He has worked extensively with the OECD Programme for International Student Assessment (PISA) data, with this research reported widely in the British media.