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Titlebook: Advances in Rasch Analyses in the Human Sciences; William J. Boone,John R. Staver Book 2020 Springer Nature Switzerland AG 2020 Assessment

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发表于 2025-3-21 19:51:36 | 显示全部楼层 |阅读模式
期刊全称Advances in Rasch Analyses in the Human Sciences
影响因子2023William J. Boone,John R. Staver
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发行地址Presents an easy to digest manner of complicated material.Offers numerous activities to practice the reader’s understanding of Rasch techniques.Provides links between the chapters of this and the prev
图书封面Titlebook: Advances in Rasch Analyses in the Human Sciences;  William J. Boone,John R. Staver Book 2020 Springer Nature Switzerland AG 2020 Assessment
影响因子.This volume follows the publication of .Rasch Analysis in the Human Sciences.. This new book presents additional topics not discussed in the previous volume. It examines key topics such as partial credit analysis of data, common person linking, computing equating constants, investigating discrimination, evaluating dimensionality, how to better utilize Wright Maps, how to design tests and surveys using Rasch theory, and many more. The book includes activities which can be used to practice the theme of each chapter and to test the reader’s understanding of Rasch techniques. Beginning and ending with a conversation between two students, each chapter provides clear step-by-step instructions as to how to conduct an analysis using the chapter theme. The chapters emphasize applications for the beginner learning Rasch and provide guidance for composing a write-up of an analysis for a presentation, paper, thesis or report..This book explores in detail many importantyet often rarely discussed topics in Rasch. With its easy-to-read language and engaging format it reaches a wide audience of scientists, clinicians, students, researchers and psychometricians, providing a valuable toolkit for pr
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Studies in Computational Intelligence tools. . presents a range of topics that were not presented in . (e.g. partial credit analysis of data, common person equating, use of Item Characteristic Curves). . also includes extensions of several topics discussed in .. For example, to augment use of Wright Maps, we include a lengthy discussion of Wright Maps.
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https://doi.org/10.1007/978-3-319-40722-7 spot errors in answer keys, as well in the presence of survey items that were not flipped, but should have been flipped. This chapter provides an added technique by which researchers can identify issues that can impact the quality of data used for an analysis of a test or a survey. Also, we link this chapter to our “What Tables to Use” of
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Multi-Feature Pattern Recognitionsch item measures, an analyst must apply the Rasch model to an appropriate data set. This chapter presents the ins and outs of different estimation techniques that are used by different Rasch software programs. Our discussion considers the differences and similarities of analysis results as a function of different estimation procedures.
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Introduction: For the Second Time, tools. . presents a range of topics that were not presented in . (e.g. partial credit analysis of data, common person equating, use of Item Characteristic Curves). . also includes extensions of several topics discussed in .. For example, to augment use of Wright Maps, we include a lengthy discussion of Wright Maps.
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