| Description |
1 online resource : illustrations |
| Contents |
Intro; Preface; Acknowledgements; PROMS Board Members (2015/2016); PROMS2016 Local Committee; Sponsors and Donors for PROMS2016, Xi'an, China; Welcome Message from PROMS2016 Xi'an; Invitation to PROMS2016, Xi'an, China; PROMS2016 Pre-conference Workshops; PROMS2016 Keynote Speakers; PROMS2016 Invited Speakers; China Needs PROMS; Contents; 1 Preliminary Report on the Development and Calibration of a Rasch Scale to Measure Chinese Reading Comprehension Ability in Singaporean 2nd Language Primary School Students; Abstract; Background; Methods; Development of Item Bank; Participants; Procedure |
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Data AnalysisItem Polarity; Model-Data Fit; Separation and Reliability; Item Location and Person Measures; Dimensionality Check; Differential Item Functioning; Results; Item Polarity; Model-Data Fit Analysis; Separation and Reliability; Item Location and Person Measures; Dimensionality; Differential Item Functioning; Summary and Conclusion; References; 2 Rasch Analysis Properties of a Chemistry Test for Form Four Students; Abstract; Introduction; Methodology; Results and Discussions; Separation and Reliability; Item Fit; Unidimensionality; Discussion; Conclusions and Recommendations |
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Example One: The Chinese Translation of B & F2Example Two: PROMS in China; Lessons Learnt-And Some Future Directions; References; 5 Research Design Considerations in Human Science Research: Reconciling Conceptions of Science, Theories of Measurement and Research Methods; Abstract; Introduction; The Research Problem; Exposition; Psychometric Research Traditions and Measurement Theories; Positivism in Psychometrics; Psychometrics and Post-positivism; The Turn to an Amodern Theory of Measurement; Conclusion; References; 6 Test Equating with Winsteps and GITEST: Different but Alike; Abstract |
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Test Equating and Its SignificanceTest Equating and Its Concept; Equating by GITEST: A Simplified Example; GITEST Program; GITEST Data Editing; GITEST Equating; Equating by Winsteps: A Simplified Example; Winsteps Porgram; Winsteps Data Matrix; Winstep Equating; Conclusion; References; 7 Evaluating an Evaluation Program: Unknowable Outcomes; Abstract; Introduction; Afterschool Programs in Sam Smith Public Schools; Research Problem; Methods; Results; Higher Grades; Good Attendance; Good Behavior; Family Engagement; Program Impact; Discussion; Conclusion; References |
| Summary |
This book gathers original studies presented at the PROMS 2016 conference on Rasch theories and Rasch-based applications. It provides significant examples used to address practical measurement problems across a range of disciplines, including: Classic Testing Theory (CTT), Item Response Theory (IRT), philosophy of measurement, dimensionality, the role of fit statistics and research, business and industrial applications, health-related research and the latest Rasch-based computer software. PROMS welcomes empirical and theoretical studies and workshops, preferably with an emphasis on the Rasch model. Special attention is paid to manuscripts submitted by non-native English-speaking authors from Pacific Rim countries, regions and beyond. PROMS 2016 (Pacific Rim Objective Measurement Symposium) was held July 30-August 3, 2016 in Xi'an, China. The goal of the conference was to bring together researchers, scholars and professors from research institutes, universities, hospitals, business and management sectors, as well as professional practitioners, to exchange and share ideas, problems and solutions regarding the multifaceted aspects of the Rasch model and on the much debated yet highly topical issues of objective assessment |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed May 2, 2018) |
| Subject |
Rasch models -- Congresses
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Rasch models -- Pacific Area -- Congresses
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PSYCHOLOGY -- Reference.
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Rasch models
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Pacific Area
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Zhang, Quan, editor
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| ISBN |
9789811081385 |
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9811081387 |
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9789811081392 |
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9811081395 |
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9789811340734 |
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9811340730 |
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