Quantitative Psychology Research

1. Front Matter

   Pages i-ix

   PDF

2. Continuation Ratio Model in Item Response Theory and Selection of Models for Polytomous Items

   • Seock-Ho Kim

   Pages 1-13

3. Using the Asymmetry of Item Characteristic Curves (ICCs) to Learn About Underlying Item Response Processes

   • Sora Lee, Daniel M. Bolt

   Pages 15-26

4. A Three-Parameter Speeded Item Response Model: Estimation and Application

   • Joyce Chang, Henghsiu Tsai, Ya-Hui Su, Edward M. H. Lin

   Pages 27-38

5. An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects

   • Hye-Jeong Choi, Allan S. Cohen, Brian A. Bottge

   Pages 39-48

6. Item Response Theory Models for Multidimensional Ranking Items

   • Wen-Chung Wang, Xuelan Qiu, Chia-Wen Chen, Sage Ro

   Pages 49-65

7. Different Growth Measures on Different Vertical Scales

   • Dongmei Li

   Pages 67-78

8. Investigation of Constraint-Weighted Item Selection Procedures in Polytomous CAT

   • Ya-Hui Su

   Pages 79-88

9. Estimating Classification Accuracy and Consistency Indices for Multidimensional Latent Ability

   • Wenyi Wang, Lihong Song, Shuliang Ding, Yaru Meng

   Pages 89-103

10. Item Response Theory Models for Person Dependence in Paired Samples

    • Kuan-Yu Jin, Wen-Chung Wang

    Pages 105-121

11. Using Sample Weights in Item Response Data Analysis under Complex Sample Designs

    • Xiaying Zheng, Ji Seung Yang

    Pages 123-137

12. Scalability Coefficients for Two-Level Polytomous Item Scores: An Introduction and an Application

    • Daniela R. Crisan, Janneke E. van de Pol, L. Andries van der Ark

    Pages 139-153

13. Numerical Differences Between Guttman’s Reliability Coefficients and the GLB

    • Pieter R. Oosterwijk, L. Andries van der Ark, Klaas Sijtsma

    Pages 155-172

14. Optimizing the Costs and GT based reliabilities of Large-scale Performance Assessments

    • Yon Soo Suh, Dasom Hwang, Meiling Quan, Guemin Lee

    Pages 173-185

15. A Confirmatory Factor Model for the Investigation of Cognitive Data Showing a Ceiling Effect: An Example

    • Karl Schweizer

    Pages 187-197

16. The Goodness of Sample Loadings of Principal Component Analysis in Approximating to Factor Loadings with High Dimensional Data

    • Lu Liang, Kentaro Hayashi, Ke-Hai Yuan

    Pages 199-211

17. Remedies for Degeneracy in Candecomp/Parafac

    • Paolo Giordani, Roberto Rocci

    Pages 213-227

18. Growth Curve Modeling for Nonnormal Data: A Two-Stage Robust Approach Versus a Semiparametric Bayesian Approach

    • Xin Tong, Zijun Ke

    Pages 229-241

19. The Specification of Attribute Structures and Its Effects on Classification Accuracy in Diagnostic Test Design

    • Ren Liu, Anne Corinne Huggins-Manley

    Pages 243-254

20. Conditions of Completeness of the Q-Matrix of Tests for Cognitive Diagnosis

    • Hans-Friedrich Köhn, Chia-Yi Chiu

    Pages 255-264

The research articles in this volume cover timely quantitative psychology topics, including new methods in item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Topics within general quantitative methodology include structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis. These methods will appeal, in particular, to researchers in the social sciences. The 80th annual meeting took place in Beijing, China, between the 12th and 16th of July, 2015. Previous volumes to showcase work from the Psychometric Society’s Meeting are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013), Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015), and Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Wisconsin, USA, 2014 (Springer, 2015).

• Cognitive diagnostic modeling
• Computerized adaptive testing
• Item response theory
• Psychological scaling
• Psychology methodology
• Psychometric methods
• Quantitative methods
• Structural Equation Modeling
• Item Characteristic Curves
• Multidimensional Ranking Items
• Multidimensional Latent Ability
• Scalability Coefficients
• Guttman's Reliability Coefficients
• cognitive data
• Personality Development Measurement
• Q Matrix Theory
• Program Evaluation
• growth curve modeling

• University of Amsterdam, Amsterdam, The Netherlands

  L. Andries van der Ark

• University of Wisconsin, Madison, USA

  Daniel M. Bolt

• Education University of Hong Kong, Hong Kong, China

  Wen-Chung Wang

• University of Illinois, Champaign, USA

  Jeffrey A. Douglas

• Umeå University, Umeå, Sweden

  Marie Wiberg

Policies and ethics