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Ark, L. Andries

New Developments in Quantitative Psychology

Ark, L. Andries - New Developments in Quantitative Psychology, ebook

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ISBN: 9781461493488
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Table of contents

1. A Nonparametric Ability Measure
Nan L. Kong

2. An Alternative to Cronbach’s Alpha: An L-Moment-Based Measure of Internal-Consistency Reliability
Todd Christopher Headrick, Yanyan Sheng

3. Using the Testlet Response Model as a Shortcut to Multidimensional Item Response Theory Subscore Computation
David Thissen

4. Anatomy of Pearson’s Chi-Square Statistic in Three-Way Contingency Tables
Yoshio Takane, Lixing Zhou

5. Visualizing Uncertainty of Estimated Response Functions in Nonparametric Item Response Theory
L. Andries Ark

6. Bayesian Estimation of the Three-Parameter Multi-Unidimensional Model
Yanyan Sheng

7. The Effect of Response Model Misspecification and Uncertainty on the Psychometric Properties of Estimates
Kristian E. Markon, Michael Chmielewski

8. A State Space Approach to Modeling IRT and Population Parameters from a Long Series of Test Administrations
Richard G. Wanjohi, Peter W. Rijn, Alina A. Davier

9. Detection of Unusual Test Administrations Using a Linear Mixed Effects Model
Yi-Hsuan Lee, Minzhao Liu, Alina A. Davier

10. Heterogeneous Populations and Multistage Test Design
Minh Q. Duong, Alina A. Davier

11. Achieving a Stable Scale for an Assessment with Multiple Forms: Weighting Test Samples in IRT Linking
Jiahe Qian, Alina A. Davier, Yanming Jiang

12. A Monte Carlo Approach for Nested Model Comparisons in Structural Equation Modeling
Sunthud Pornprasertmanit, Wei Wu, Todd D. Little

13. Positive Trait Item Response Models
Joseph F. Lucke

14. A Comparison of Algorithms for Dimensionality Analysis
Sedat Sen, Allan S. Cohen, Seock-Ho Kim

15. Evaluating CTT- and IRT-Based Single-Administration Estimates of Classification Consistency and Accuracy
Nina Deng, Ronald K. Hambleton

16. Modeling Situational Judgment Items with Multiple Distractor Dimensions
Anne Thissen-Roe

17. Theory Development as a Precursor for Test Validity
Klaas Sijtsma

18. Bayesian Methods and Model Selection for Latent Growth Curve Models with Missing Data
Zhenqiu (Laura) Lu, Zhiyong Zhang, Allan Cohen

19. Notes on the Estimation of Item Response Theory Models
Xinming An, Yiu-Fai Yung

20. Some Comments on Representing Construct Levels in Psychometric Models
Ronli Diakow, David Torres Irribarra, Mark Wilson

21. The Comparison of Two Input Statistics for Heuristic Cognitive Diagnosis
Hans-Friedrich Köhn, Chia-Yi Chiu, Michael J. Brusco

22. Does Model Misspecification Lead to Spurious Latent Classes? An Evaluation of Model Comparison Indices
Ying-Fang Chen, Hong Jiao

23. Modeling Differences in Test-Taking Motivation: Exploring the Usefulness of the Mixture Rasch Model and Person-Fit Statistics
Marie-Anne Mittelhaëuser, Anton A. Béguin, Klaas Sijtsma

24. A Recursive Algorithm for IRT Weighted Observed Score Equating
Yuehmei Chien, Ching David Shin

25. Bartlett Factor Scores: General Formulas and Applications to Structural Equation Models
Yiu-Fai Yung, Ke-Hai Yuan

26. A Scalable EM Algorithm for Hawkes Processes
Peter F. Halpin

27. Estimating the Latent Trait Distribution with Loglinear Smoothing Models
Jodi M. Casabianca, Brian W. Junker

28. From Modeling Long-Term Growth to Short-Term Fluctuations: Differential Equation Modeling Is the Language of Change
Pascal R. Deboeck, Jody S. Nicholson, C. S. Bergeman, Kristopher J. Preacher

29. Evaluating Scales for Ordinal Assessment in Clinical and Medical Psychology
Wilco H. M. Emons, Paulette C. Flore

30. Differentiating Response Styles and Construct-Related Responses: A New IRT Approach Using Bifactor and Second-Order Models
Matthias Davier, Lale Khorramdel

31. Gender DIF in Reading Tests: A Synthesis of Research
Hongli Li, C. Vincent Hunter, T. C. Oshima

32. Erratum to: Differentiating Response Styles and Construct-Related Responses: A New IRT Approach Using Bifactor and Second-Order Models
Matthias Davier, Lale Khorramdel

Keywords: Statistics, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law, Psychometrics, Psychological Methods/Evaluation

Editor
 
 
 
Publisher
Springer
Publication year
2013
Language
en
Edition
1
Series
Springer Proceedings in Mathematics & Statistics
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9781461493488
Printed ISBN
978-1-4614-9347-1

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