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Advances in Rasch Analyses in the Human Sciences

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Cover of 'Advances in Rasch Analyses in the Human Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: For the Second Time
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    Chapter 2 Principal Component Analysis of Residuals (PCAR)
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    Chapter 3 Point Measure Correlation
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    Chapter 4 Test Information Function (TIF)
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    Chapter 5 Disattenuated Correlation
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    Chapter 6 Understanding and Utilizing Item Characteristic Curves (ICC) to Further Evaluate the Functioning of a Scale
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    Chapter 7 How Well Are Your Instrument Items Helping You to Discriminate and Communicate?
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    Chapter 8 Partial Credit Part 1
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    Chapter 9 Partial Credit Part II (How to Anchor a Partial Credit Test)
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    Chapter 10 The Hills…with the Partial Credit Model
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    Chapter 11 Common Person Test Equating
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    Chapter 12 Virtual Equating of Test Forms
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    Chapter 13 Computing and Utilizing an Equating Constant to Explore Items for Linking a Test to an Item Bank
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    Chapter 14 Rasch Measurement Estimation Procedures
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    Chapter 15 The Importance of Cross Plots for Your Rasch Analysis
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    Chapter 16 Wright Maps (Part 3 and Counting...)
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    Chapter 17 Rasch and Forms of Validity Evidence
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    Chapter 18 Using Rasch Theory to Develop a Test and a Survey
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    Chapter 19 Presentation and Explanation Techniques to Use in Rasch Articles
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    Chapter 20 Some Concluding Thoughts…
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Title
Advances in Rasch Analyses in the Human Sciences
Published by
Springer International Publishing, June 2020
DOI 10.1007/978-3-030-43420-5
ISBNs
978-3-03-043419-9, 978-3-03-043420-5
Authors

Boone, William J., Staver, John R.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 9 15%
Student > Ph. D. Student 8 13%
Student > Master 6 10%
Student > Bachelor 5 8%
Researcher 5 8%
Other 9 15%
Unknown 19 31%
Readers by discipline Count As %
Social Sciences 15 25%
Psychology 4 7%
Mathematics 3 5%
Linguistics 3 5%
Computer Science 3 5%
Other 10 16%
Unknown 23 38%