Educational Measurement for Applied Researchers

Margaret Wu (), Hak Ping Tam () and Tsung-Hau Jen ()
Additional contact information
Margaret Wu: Educational Measurement Solutions National Taiwan Normal Univ,Taipei, National Taiwan Normal Univ,Taipei
Hak Ping Tam: Natl Taiwan Normal Univ Grad Inst of Sci Educ, No.88, Sec 4, Grad Inst of Sci Educ, No.88, Sec 4
Tsung-Hau Jen: National Taiwan Normal University

in Springer Books from Springer

Date: 2016
ISBN: 978-981-10-3302-5
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Chapters in this book:

Ch Chapter 1 What Is Measurement?

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 10 Two-Parameter IRT Models

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 11 Differential Item Function

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 12 Equating

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 13 Facets Models

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 14 Bayesian IRT Models (MML Estimation)

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 15 Multidimensional IRT Models

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 2 Construct, Framework and Test Development—From IRT Perspectives

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 3 Test Design

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 4 Test Administration and Data Preparation

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 5 Classical Test Theory

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 6 An Ideal Measurement

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 7 Rasch Model (The Dichotomous Case)

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 8 Residual-Based Fit Statistics

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

Ch Chapter 9 Partial Credit Model

Margaret Wu, Hak Ping Tam and Tsung-Hau Jen

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DOI: 10.1007/978-981-10-3302-5

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