Quantitative Psychology (eBook) von L. Andries van der Ark

1. New Results on an Improved Algorithm Estimating Generalized Latent Variable Models (von Davier).- 2. Properties of second-order  exponential models as multidimensional item response models (Anderson and Yu).- 3. Pseudo-likelihood Estimation of Multidimensional Response Models:Polytomous and Dichotomous Items (Pack and Anderson).- 4. Fitting Graded Response Models to Data with Nonnormal Latent Traits (Kuo and Sheng).- 5. An Extention of Rudner-based Consistency and Accuracy Indices for Multidimensional Item Response Theory (Wang, Song and Ding).- 6. Supporting diagnostic inferences using significance tests for subtest scores (Lorie).- 7. A comparison of two MCMC algorithms for the 2PL IRT model (Chang and Sheng).- 8. Similar DIFs: Differential Item Functioning and Factorial Invariance for Scales with Seven ("Plus or Minus Two") Response Alternatives (Thissen).- 9. Finally! A Valid Test of Configural Invariance Using Permutation in Multiple-Group CFA (Jorgenson, Kite, Chen and Short).- 10. Outcries of Dual Scaling: The Key is Duality (Nishisato).- 11. The Most Predictable Criterion with Fallible Data (Kim).- 12. Asymmetric Multidimensional Scaling of Cognitive Similarities Among Occupational Categories (Okada and Hayashi).- 13. On the Relationship Between Squared Canonical Correlation and Matrix Norm (Hyashi, Yuan and Liang).- 14. Breaking through the sum score barrier (Ramsay and Wiberg).- 15. Overestimation of Reliability by Guttman's Lambda 4, Lambda 5, and Lambda 6, and the Greatest Lower Bound (Oosterwijk, van der Ark and Sijtsma).- 16. The Performance of Five Reliability Estimates at Multidimensional Test Situations (Sha and Ackerman).- 17. Weighted Guttman errors: Handling ties and two-level data (Koopman, Zijlstra and Van der Ark).- 18. Measuring Cognitive Processing Capabilities in Solving Mathematical Problems (Embretson).- 19. Parameter Constraints of the Reduced RUM as a Logit Model (Kohn).- 20. Hypothesis Testing for Item Consistency Index in Cognitive Diagnosis Assessment (Song and Wang).- 21. The irreplaceability of a reachability matrix (Ding, Wang, Luo, Xiong and Meng).- 22. Ensuring test quality over time by monitoring the equating transformations (Wiberg).- 23. An illustration of the Epanechnikov and Adaptive continuization methods in Kernel equating (González and von Davier).- 24. (The Potential for) Accumulated Linking Error in Trend Measurement in Large-Scale Educational Assessments (Harrell).- 25. IRT observed-score equating with the non-equivalent groups with covariates design (Sansivieri and Wiberg).- 26. Causal Inference with Observational Multilevel Data: Investigating Selection and Outcome Heterogeneity (Kim, Lim and Steiner).- 27. Non-Equivalent Groups With Covariates Design Using Propensity Scores for Kernel Equating (Wallin and Wiberg).- 28. A mixture partial credit model analysis using a language-based covariate (Kim, Kwak and Cohen).- 29. Investigating Constraint-weighted Item Selection Procedures in Unfolding CAT (Su).- 30. Rating Scale Format and Item Sensitivity to Response Style in Large-Scale Assessment (Deng and Bolt).- 31. Mode Comparability Studies for a High-Stakes Testing Program (Li, Yi and Harris).- 32. Power analysis for t-test with non-normal data and unequal variances (Du, Zhang and Yuan).- 33. Statistical Power for One-Way ANOVA with Binary or Count Data (Mai and Zhang).- 34. Bayesian robust estimation in causal two-stage-least-squares modeling with instrumental variables (Shi and Tong).- 35. Measuring grit among first-generation college students: A psychometric analysis (Midkiff, Langer, Demetriou and Panter).- 36. A Comparison of Item Parameter and Standard Error Recovery Across Different R Packages for Popular Unidimensional IRT Models (Kim and Paek).

Jeffrey A. Douglas is a professor of statistics at the University of Illinois at Urbana-Champaign. He conducts research in latent variable analysis with a particular emphasis on item response models and cognitive diagnosis models with applications in educational testing.