1# Library to Find Best eBook for Read
Author : Everett V. Smith
Release : 2004
Genre : Social sciences
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Introduction to Rasch Measurement by : Everett V. Smith
Download or read book Introduction to Rasch Measurement written by Everett V. Smith. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Thomas Eckes
Release : 2015
Genre : Education
Kind : eBook
Book Rating : 150/5 ( reviews)
Book Synopsis Introduction to Many-facet Rasch Measurement by : Thomas Eckes
Download or read book Introduction to Many-facet Rasch Measurement written by Thomas Eckes. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: This revised and updated Second Edition provides an introduction to the psychometric analysis and evaluation of rater-mediated assessments using many-facet Rasch measurement (MFRM). Essay rating data are used to illustrate the study of rater errors and biases and their implications for drawing reliable, valid, and fair inferences from assessment outcomes.
Author : Trevor G. Bond
Release : 2013-11-05
Genre : Education
Kind : eBook
Book Rating : 646/5 ( reviews)
Book Synopsis Applying the Rasch Model by : Trevor G. Bond
Download or read book Applying the Rasch Model written by Trevor G. Bond. This book was released on 2013-11-05. Available in PDF, EPUB and Kindle. Book excerpt: Written in an accessible style, this book facilitates a deep understanding of the Rasch model. Authors Bond and Fox review the crucial properties of the Rasch model and demonstrate its use with a wide range of examples including the measurement of educational achievement, human development, attitudes, and medical rehabilitation. A glossary and numerous illustrations further aid the reader's understanding. The authors demonstrate how to apply Rasch analysis and prepare readers to perform their own analyses and interpret the results. Updated throughout, highlights of the Second Edition include: a new CD that features an introductory version of the latest Winsteps program and the data files for the book’s examples, preprogrammed to run using Winsteps; a new chapter on invariance that highlights the parallels between physical and human science measurement; a new appendix on analyzing data to help those new to Rasch analysis; more explanation of the key concepts and item characteristic curves; a new empirical example with data sets demonstrates the many facets of the Rasch model and other new examples; and an increased focus on issues related to unidimensionality, multidimensionality, and the Rasch factor analysis of residuals. Applying the Rasch Model is intended for researchers and practitioners in psychology, especially developmental psychologists, education, health care, medical rehabilitation, business, government, and those interested in measuring attitude, ability, and/or performance. The book is an excellent text for use in courses on advanced research methods, measurement, or quantitative analysis. Significant knowledge of statistics is not required.
Author : Stefanie Wind
Release : 2022-06-07
Genre : Mathematics
Kind : eBook
Book Rating : 762/5 ( reviews)
Book Synopsis Rasch Measurement Theory Analysis in R by : Stefanie Wind
Download or read book Rasch Measurement Theory Analysis in R written by Stefanie Wind. This book was released on 2022-06-07. Available in PDF, EPUB and Kindle. Book excerpt: Rasch Measurement Theory Analysis in R provides researchers and practitioners with a step-by-step guide for conducting Rasch measurement theory analyses using R. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R packages that contain Rasch measurement functions, and sample interpretations of results. Features: Accessible to users with relatively little experience with R programming Reproducible data analysis examples that can be modified to accommodate users’ own data Accompanying e-book website with links to additional resources and R code updates as needed Features dichotomous and polytomous (rating scale) Rasch models that can be applied to data from a wide range of disciplines This book is designed for graduate students, researchers, and practitioners across the social, health, and behavioral sciences who have a basic familiarity with Rasch measurement theory and with R. Readers will learn how to use existing R packages to conduct a variety of analyses related to Rasch measurement theory, including evaluating data for adherence to measurement requirements, applying the dichotomous, Rating Scale, Partial Credit, and Many-Facet Rasch models, examining data for evidence of differential item functioning, and considering potential interpretations of results from such analyses.
Author : Iasonas Lamprianou
Release : 2019-12-12
Genre : Psychology
Kind : eBook
Book Rating : 430/5 ( reviews)
Book Synopsis Applying the Rasch Model in Social Sciences Using R by : Iasonas Lamprianou
Download or read book Applying the Rasch Model in Social Sciences Using R written by Iasonas Lamprianou. This book was released on 2019-12-12. Available in PDF, EPUB and Kindle. Book excerpt: 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.
