This book highlights the impact of policy and politics on assessment across the globe. With contributions from England, the Irish Republic, Northern Ireland, Norway, Sweden, Switzerland, and Wales, it explores state-led assessment policies and practices that have been the subject of much debate. We are experiencing a shift from using assessments - especially national tests - as measurement instruments designed to produce information, to a reliance on tests to influence policy and instruction. Once tests become high stakes - for students, teachers, and schools - even those that might have been reasonable monitors of educational success can lose dependability and credibility. However, not all countries' assessment policies follow the same model and the contributors explore and analyse a range of different national (and supra-national) assessment policy approaches and perspectives. The chapters identify the impetus behind changing assessment policies and practices and analyse ways forward and innovative approaches. Readers can draw their own conclusions about which model(s) can provide the best outcomes for learners - surely the most important part of the equation. This book was originally published as a special issue of Assessment in Education: Principles, Policy & Practice.

This book highlights the impact of policy and politics on assessment across the globe. With contributions from England, the Irish Republic, Northern Ireland, Norway, Sweden, Switzerland, and Wales, it explores state-led assessment policies and practices that have been the subject of much debate. We are experiencing a shift from using assessments - especially national tests - as measurement instruments designed to produce information, to a reliance on tests to influence policy and instruction. Once tests become high stakes - for students, teachers, and schools - even those that might have been reasonable monitors of educational success can lose dependability and credibility. However, not all countries' assessment policies follow the same model and the contributors explore and analyse a range of different national (and supra-national) assessment policy approaches and perspectives. The chapters identify the impetus behind changing assessment policies and practices and analyse ways forward and innovative approaches. Readers can draw their own conclusions about which model(s) can provide the best outcomes for learners - surely the most important part of the equation. This book was originally published as a special issue of Assessment in Education: Principles, Policy & Practice.

This unique text provides a step-by-step beginner's guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex. Through a freely available and user-friendly package, BlueSky Statistics, Lamprianou offers a range of options for presenting results, critically examines the strengths and weaknesses of applying the Rasch model in each instance, and suggests more effective methodologies where applicable. With a focus on simple software code which does not assume extensive mathematical knowledge, the reader is initially introduced to the so-called simple Rasch Model to construct a "political activism" variable out of a group of dichotomously scored questions. In subsequent chapters, the book covers everything from the Rating Scale to the Many-facets Rasch model. The final chapter even showcases a complete mock manuscript, demonstrating how a Rasch-based paper on the identification of online hate speech should look like. Combining theoretical rigor and real-world examples with empirical datasets from published papers, this book is essential reading for students and researchers alike who aspire to use Rasch models in their research.

This unique text provides a step-by-step beginner's guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex. Through a freely available and user-friendly package, BlueSky Statistics, Lamprianou offers a range of options for presenting results, critically examines the strengths and weaknesses of applying the Rasch model in each instance, and suggests more effective methodologies where applicable. With a focus on simple software code which does not assume extensive mathematical knowledge, the reader is initially introduced to the so-called simple Rasch Model to construct a "political activism" variable out of a group of dichotomously scored questions. In subsequent chapters, the book covers everything from the Rating Scale to the Many-facets Rasch model. The final chapter even showcases a complete mock manuscript, demonstrating how a Rasch-based paper on the identification of online hate speech should look like. Combining theoretical rigor and real-world examples with empirical datasets from published papers, this book is essential reading for students and researchers alike who aspire to use Rasch models in their research.