International comparisons using PISA and other large-scale assessment data - online

Organised by

UCL Institute of Education

Presenter

Professor John Jerrim - www.johnjerrim.com

Date

27/05/2021 - 29/07/2021

Venue

Online - run by UCL Institute of Education University College London, 20 Bedford Way, London

Map

View in Google Maps  (WC1H 0AL)

Contact

Delia Mihoc
ioe.shortcourses@ucl.ac.uk

Description

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.

Each session will be mirrored by a practical workshop seminar where students will put the analytical techniques introduced in the lectures to use. Students will learn how to analyse a large international databases using Stata.

By the end of the course, students should be able to use the OECD databases to conduct robust international comparisons.

Day 1 (27 May 2021)

09:30 – 11:00 Why and how to conduct cross-national comparisons. The basics (live synchronous)

11:00 – 12:30 Computer workshop 1. Students work through worksheet at their own pace

12:30 – 13:30 Lunch

13:30 – 15:00 Sample design in large-scale international assessment. (live synchronous)

15:00 – 16:30 Computer workshop 2. Students work through worksheet at their own pace

Day 2 (29 July 2021)

09:30 – 11:00 Nuts and bolts of international comparisons (live synchronous)

11:00 – 12:30 Computer workshop 3. Students work through worksheet at their own pace

12:30 – 13:30 Lunch

13:30 – 15:00 How PISA/PIRLS/TIMSS/PIAAC test scores are generated (live synchronous)

15:00 – 16:30 Computer workshop 4. Students work through worksheet at their own pace

 

The course covers:

  • 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

 

By the end of the course participants will:

  •  Understand the strengths and limitations of large-scale international assessment data.
  •  Understand key aspects of large-scale international assessment study design, including sampling and test score construction.
  •  Be able to analyse large-scale international assessment data using Stata.

 

Preparatory Reading

Anders, J., Has, S., Jerrim, J., Shure, N., & Zieger, L. (2021). Is Canada really an education superpower? The impact of non-participation on results from PISA 2015Educational Assessment, Evaluation and Accountability. doi:10.1007/s11092-020-09329-5

Shure, D., Jerrim, J., & Parker, P. (2019). Bullshitters. Who Are They and What Do We Know about Their Lives? (IZA Discussion Papers).

Jerrim, J., Sims, S., & Zieger, L. (2019). Comparing Teachers’ Job Satisfaction across Countries: A Multiple?Pairwise Measurement Invariance ApproachEducational Measurement: Issues and Practice. doi:10.1111/emip.12254

Laura Zieger & John Jerrim & Jake Anders & Nikki Shure, 2020. "Conditioning: How background variables can influence PISA scores," CEPEO Working Paper Series 20-09, Centre for Education Policy and Equalising Opportunities, UCL Institute of Education, revised Apr 2020

 

Level

Entry (no or almost no prior knowledge)

Cost

• £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

Website and registration

Region

International

Keywords

Cross-Sectional Research, PISA , , , PIAAC , , , TALIS , , , Large-scale international assessments

Related publications and presentations

Cross-Sectional Research

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