The 4th IEA
International Research Conference
Workshops

IEA INTERNATIONAL RESEARCH CONFERENCE PRE-CONFERENCE WORKSHOPS


 

Analyzing IEA International Databases

29-30 June 2010

 

The IEA Data Processing and Research Center (IEA DPC) will be conducting a series of pre-IRC workshops. These workshops will be given in parallel on 29-30 June 2010, as part of the pre-conference activities. Each workshop starts at 09:00 and runs till 17:00 in four sessions, with two 15 minute coffee breaks and a lunch break (12:15-13:45).


Workshop #1: Introduction to IEA Databases and IDB Analyzer

Presenters: Plamen Mirazchiyski & Oliver Neuschmidt

This workshop will provide an overview of the IEA databases currently available, with particular emphasis on the most recently released databases (TIMSS 2007, PIRLS 2006, and SITES 2006). As part of the workshop, participants will also be instructed on how to use the IDB analyzer. The IDB Analyzer is an application developed by IEA DPC to facilitate access to and analysis of the large-scale assessment databases available from IEA. The IDB Analyzer creates SPSS code that can be used with SPSS to conduct statistical analyses, taking into account the complex sample structure of the databases.

 

The following topics will be covered during the workshop:

 

Overview of IEA databases

Sampling and test design: Implication for analysis

Using the IDB Analyzer to combine datasets

Using the IDB Analyzer to conduct analysis

 

This workshop is aimed at individuals who have only limited or superficial familiarity with IEA databases and analysis procedures, and who want to become familiar with them. Participants are expected to bring their own laptops with SPSS installed (SPSS is required to use the IDB Analyzer). Free copies of the IDB Analyzer will be distributed at the workshop.

This workshop is open to the first 30 applicants.

List of Participants

Name Country Affiliation
Ewa Andersson Sweden Umeå Universitet
Luisa Araujo Italy EC Joint Research Centre
Daniel Arnesson Sweden Umeå Universitet
Altangerel Ayush Mongolia University of Science and Technology
Carolyn Barber United States University of Missouri Kansas City
Åsa Berndtsson Sweden IPD
Maria Canadas Spain Universidad de Granada
Jaguthsing Dindyal Singapore National Institute of Education Singapore
Sabrina Greco Italy INVALSI
Åse Hansson Sweden University of Gothenburg
Tae Jun Kim Korea Korean Educational Development Institute
Nader Leis Iran Tarbiat Modares University
Bo Nielsen Sweden IPD
Trude Nilsen Norway University of Oslo
Ida Friestad Pedersen Norway University of Oslo
Natalia Sheveleva Russia Moscow City Pedagogical University
Anna Toropova Sweden Stockholm University
Batmunkh Tsend-ayush Mongolia Ministry of Education

Workshop #2: Using HLM with Large-Scale Assessment Data

Presenters: Daniel Caro & Leslie Rutkowski

The workshop will train participants on how to use the HLM software through analysis of socioeconomic gradients in PIRLS 2006. First, the rationale for HLM analysis will be introduced and participants will learn how to prepare datasets and import them to HLM. Second, relevant hypotheses for policy research regarding socioeconomic gradients will be evaluated, stressing theory, model specification, and interpretation of results.

 

An example of the type of analysis that will be presented is testing for the presence of a socioeconomic gradient. This hypothesis test evaluates whether there is a significant relationship between family socioeconomic status (SES) and academic performance within a two-level model (students in schools in a specific country). The theoretical background will be presented, various model specifications will be considered (linear and curvilinear effects), key statistics will be interpreted (i.e., slope, R-squared, curvilinear SES term), and the policy implications of each hypothesis test and resultant statistics will be discussed.

 

Next, increasingly complex hypotheses will be evaluated. For example, participants will test whether socioeconomic gradients vary between schools, whether the school SES has an effect above and beyond the family SES effect, whether specific variables mediate and/or moderate family SES effects and, finally, within a three-level model framework, whether socioeconomic gradients vary between countries, and if so, how.

 

The following topics will be covered:

 

Participants will learn to specify, estimate, and interpret results of two- and three-level models within the HLM software environment, as well as to formulate and test hypotheses with implications for research and policy. This workshop is aimed at individuals with a working knowledge of IEA databases and a solid knowledge of intermediate statistics. Participants will be required to bring their own laptops with SPSS installed. The HLM free-trial version and PIRLS 2006 data will be made available and used during the workshop. The workshop will comprise lectures mixed with hands-on training.

25 applicants will be accepted.

List of Participants

Name Country Affiliation
Francesco Agrusti Italy Roma Tre University
Anders Auer Sweden SKOLVERKET
Sigrid Blömeke Germany Humboldt University of Berlin
Kok Leong Boey Singapore National Institute of Education
Ireta Cekse Latvia University of Latvia
Noor Azina Ismail Malaysia University of Malaya
Ana Kozina Slovenia Educational Research Institute
Moo Sung Lee Hong Kong SAR Hong Kong Institute of Education
Petra Lietz Australia ACER
Ingrid Munck Sweden University of Gothenburg
Monica Rosén Sweden University of Gothenburg
Mojca Rozman Slovenia Educational Research Institute
Surette van Staden South Africa University of Pretoria
Eva Wiren Italy EC Joint Research Centre
Kajsa Yang Hansen Sweden University of Gothenburg
Suleiman Khoja Libya Curricula & Educational Research Center

Workshop #3: Assessment Designs, Item Response Theory, and Proficiency Estimates

Presenter: Eugenio Gonzalez

This workshop will provide an overview of the principles surrounding the design of large-scale assessments, the item response theory models used to calibrate items, and the methodology used to assign proficiency estimates, also known as plausible values. Presentations will be mostly theoretical, with ample time given for discussion.

 

The following topics will be covered during the workshop:

 

Overview of assessment design principles

Overview of principles of item response theory

Overview of principles of population modeling and proficiency estimation

 

The general daily schedule will consist of presentations and limited hands-on practical assignments. Participants are expected to bring their own laptop PC with statistical software installed.

The workshop will be open to 25 participants.

List of Participants

Name Country Affiliation
Fabio Alivernini Italy INVALSI
Marjeta Doupona Horvat Slovenia Educational Research Institute
Jan-Eric Gustafsson Sweden University of Gothenburg
Tsung-Hau Jen Chinese Taipei National Taiwan Normal University
Stefan Johansson Sweden University of Gothenburg
Hege Kaarstein Norway University of Oslo
Masoud Kabiri Iran Research Institute for Education
Sara Manganelli Italy INVALSI
Torgeir Onstad Norway University of Oslo
Laura Palmerio Italy INVALSI
Artur Pokropek Poland Polish Academy of Science
Rolf Strietholt Germany Dortmund University of Technology
Christian Tallberg Sweden SKOLVERKET

Download the Workshop brochure.


Please note:

Workshop participation fee is € 100.

For payment details see: Registration