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Titlebook: Understanding and Investigating Response Processes in Validation Research; Bruno D. Zumbo,Anita M. Hubley Book 2017 Springer International

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發(fā)表于 2025-3-21 19:07:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Understanding and Investigating Response Processes in Validation Research
編輯Bruno D. Zumbo,Anita M. Hubley
視頻videohttp://file.papertrans.cn/942/941735/941735.mp4
概述Introduces novel forms of response processes evidence.Provides examples of how to design and report response processes evidence.Serves as an invaluable resource for researchers conducting validation w
叢書名稱Social Indicators Research Series
圖書封面Titlebook: Understanding and Investigating Response Processes in Validation Research;  Bruno D. Zumbo,Anita M. Hubley Book 2017 Springer International
描述.This volume addresses an urgent need across multiple disciplines to broaden our understanding and use of response processes evidence of test validity. It builds on the themes and findings of the volume Validity and Validation in Social, Behavioral, and Health Sciences (Zumbo & Chan, 2014), with a focus on measurement validity evidence based on response processes. Approximately 1000 studies are published each year examining the validity of inferences made from tests and measures in the social, behavioural, and health sciences. The widely accepted Standards for Educational and Psychological Testing (1999, 2014) present five sources of evidence for validity: content-related, response processes, internal structure, relationships with other variables, and consequences of testing. Many studies focus on internal structure and relationships with other variables sources of evidence, which have a long history in validation research, known methodologies, and numerous exemplars in the literature. Far less is understood by test users and researchers conducting validation work about how to think about and apply new and emerging sources of validity evidence. This groundbreaking volume is the fir
出版日期Book 2017
關(guān)鍵詞Changing technology online surveys; Models of response processes; Psychometric methods for examining r
版次1
doihttps://doi.org/10.1007/978-3-319-56129-5
isbn_softcover978-3-319-85833-3
isbn_ebook978-3-319-56129-5Series ISSN 1387-6570 Series E-ISSN 2215-0099
issn_series 1387-6570
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Bruno D. Zumbo,Yan Liu,Amery D. Wu,Barry Forer,Benjamin R. Shear
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Understanding and Investigating Response Processes in Validation Research
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Validating a Distractor-Driven Geometry Test Using a Generalized Diagnostic Classification Model,can be used to validate intended score uses and guide future test development. The discussion considers both the strengths and limitations of applying the GDCM framework to this type of distractor-driven test.
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