Applying The Rasch Model In Social Sciences Using R
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Applying the Rasch Model in Social Sciences Using R
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.
Applying the Rasch Model in Social Sciences Using R
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.
Rasch Models for Measurement
Examines the use of Rasch measurement models in the social sciences. This lucid introduction first focuses on general principles, so the applications and algebra of the model can be readily understood. Andrich then connects Rasch models to common procedures for social science measurement. Avoiding polemics, Andrich′s presentation allows comparison between the Rasch models and other, better known measurement approaches. Rasch Models For Measurement concentrates on the simple logistic model, the most elementary and commonly used of the Rasch models. This excellent introduction uses one example from personality inventory throughout to provide continuity as the procedures and statistical arguments are explained. Essential reading for all researchers and students who use measurement models. "A valuable asset to those of us who are concerned with teaching measurement issues. . . . My only quibble is that we have had to wait so long for what is a clear, concise and very approachable introduction to a fairly complex area. . . . For its size this volume covers a lot of ground and it would seem to be an ideal book for postgraduate students with a special interest in psychometrics and professional psychologists who are concerned with measurement and assessment. . . . An ideal primer." --The Statistician "Rasch Models for Measurement is a concise introduction to the general principles, philosophy, and methods that underlie the approach to measurement developed by Georg Rasch (1960/1980). This book is a welcome addition to the Sage series on Quantitative Applications in the Social Sciences, or (as my students describe them) "the little green books." This series introduces methodological issues for individuals with limited backgrounds in statistics and mathematics, and Andrich has provided a useful resource for these individuals. . . . This book can be recommended for graduate students and colleagues who want a basic understanding of the Rasch model." --Applied Psychological Measurement