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Rasch Measurement

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Cover of 'Rasch Measurement'

Table of Contents

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    Book Overview
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    Chapter 1 Objective Measurement in Psychometric Analysis
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    Chapter 2 Rasch Basics for the Novice
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    Chapter 3 Applying the Rasch Rating Scale Method to Questionnaire Data
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    Chapter 4 Objective Measurement: How Rasch Modeling Can Simplify and Enhance Your Assessment
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    Chapter 5 Re-examining the Utility of the Individualised Classroom Environment Questionnaire (ICEQ) Using the Rasch Model
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    Chapter 6 Validation of University Entrance Tests Through Rasch Analysis
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    Chapter 7 Examining an Economics Test to Inform University Student Learning Using the Rasch Model
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    Chapter 8 Constructs Evaluation of Student Attitudes Toward Science—A Rasch Analysis
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    Chapter 9 Validation of a Science Concept Inventory by Rasch Analysis
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    Chapter 10 Big Changes in Achievement Between Cohorts: A True Reflection of Educational Improvement or Is the Test to Blame?
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    Chapter 11 A Rasch Analysis Approach to the Development and Validation of a Social Presence Measure
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    Chapter 12 Construct Validity of Computer Scored Constructed Response Items in Undergraduate Introductory Biology Courses
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    Chapter 13 An Analysis of the Psychometric Properties of the Social Responsibility Goal Orientation Scale Using Adolescent Data from Sweden
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    Chapter 14 Using Graphical Loglinear Rasch Models to Investigate the Construct Validity of the Perceived Stress Scale
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Title
Rasch Measurement
Published by
Springer Singapore, January 2020
DOI 10.1007/978-981-15-1800-3
ISBNs
978-9-81-151799-0, 978-9-81-151800-3
Editors

Myint Swe Khine

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 11 10%
Student > Master 10 9%
Student > Ph. D. Student 9 8%
Student > Bachelor 9 8%
Researcher 5 5%
Other 16 15%
Unknown 46 43%
Readers by discipline Count As %
Social Sciences 22 21%
Psychology 8 8%
Mathematics 7 7%
Physics and Astronomy 4 4%
Chemistry 3 3%
Other 14 13%
Unknown 48 45%