Today we conclude the IEA IRC workshops that took place at the Department of Humanities of Roma Tre University. Throughout the last two days, workshop participants improved their understanding of secondary analysis and gained practical experience in working with data from large-scale assessments in education.
Methods of Causal Inference with Observational Data from International Assessments was hosted by Alec Kennedy, Andrés Strello, Rolf Strietholt, and Sylke V. Schnepf, who led an engaging workshop that included lectures and group discussions around causal effect and the limitations of regression analysis. Participants also gained knowledge of the designs and strategies to identify effects with observational data from large-scale assessments.
Yuan Long Liaw, and Andrés Christiansen hosted Item Response Theory and Population Modeling in Large-scale Assessments, a workshop that introduced foundational knowledge of item response theory and the latent regression model. Participants received practical training in using R packages. The concepts discussed are critical to generating achievement scores.
The third workshop, An Introduction to the Use and Analysis of ICILS Process Data, hosted by Daniel Duckworth and Sebastian Meyer, gave participants the opportunity to understand how ICILS variables can be used to identify trends in students’ answers. Analyzing process data provides insights into students’ problem-solving skills, their response strategies, and their engagement with the test. Find out more about how process data can be used here.
Thank you to all hosts and participants who have contributed to the last two days. We look forward to Day One of the official conference.