Quantitative psychology research : [electronic resource] the 78th annual meeting of the Psychometric Society / Edited by L. Andries van der Ark; Daniel M. Bolt; Wen-Chung Wang; Jeffrey A. Douglas; Marie Wiberg.

Includes bibliogaphical references.

Preface; Contents; Continuation Ratio Model in Item Response Theory and Selection of Models for Polytomous Items; 1 Introduction; 2 The Continuation Ratio Model and Parameter Estimation; 3 An Illustration; 4 Comparisons of Polytomous Models; 5 Discussion; Appendix; References; Using the Asymmetry of Item Characteristic Curves (ICCs) to Learn About Underlying Item Response Processes; 1 Introduction; 1.1 Other Implications of Ignoring Asymmetry in ICCs; 1.2 Item Response Processes and Asymmetric ICCs; 2 Molenaar's Normal Ogive RH Model. 2.1 Bayesian Estimation of Heteroscedastic Two-Parameter and Three-Parameter Normal Ogive Models3 Simulation Study; 3.1 Low Complexity Disjunctive Items: A Two Subprocess Model; 3.2 Moderate Complexity Items: One Subprocess Model; 3.3 Moderately High Complexity Conjunctive Items: A Two Subprocess Model; 3.4 High Complexity Conjunctive Items: A Five Subprocess Model; 4 Simulation Results; 5 Discussion; References; A Three-Parameter Speeded Item Response Model: Estimation and Application; 1 Introduction; 2 Leave-the-Harder-till-Later Speeded Three-Parameter Logistic Item Response Model. 3 Simulation Study4 Application; 5 Concluding Remarks; References; An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects; 1 Introduction; 2 A Random Item Mixture Nominal Response Model; 3 Simulation Study; 3.1 Simulation Design; 3.2 Simulation Study Results; 4 Empirical Study: Instruction Effects on Students' Fractions Computation; 4.1 Data Description; 4.2 Model Estimation; 4.3 Results; 4.3.1 Characteristics of Latent Classes; 4.3.2 Instruction Effects; 5 Conclusion and Discussions; References. Item Response Theory Models for Multidimensional Ranking Items1 The Rasch Ipsative Model for Multidimensional Pairwise-Comparison Items; 2 Item Response Models for Multidimensional Ranking Items; 2.1 The Exploded Logit IRT; 2.2 The Generalized Logit IRT; 3 Simulations; 4 An Empirical Example; 5 Summary and Discussion; References; Different Growth Measures on Different Vertical Scales; 1 Properties of Vertical Scales; 2 A Few Growth Measures and Their Relationships; 2.1 Simple Gain and Residual Gain Scores; 2.2 Three CSPR Measures; 2.3 Scale Dependency of the Growth Measures. 3 Vertical Scales and the Relationships Among the Growth Measures3.1 Two Vertical Scaling Examples; 3.2 Empirical Data Comparison; 4 Conclusion and Discussion; References; Investigation of Constraint-Weighted Item Selection Procedures in Polytomous CAT; 1 Introduction; 1.1 The Maximum Priority Index (MPI) Method; 2 Method; 2.1 Simulation Study; 2.2 Evaluation Criteria; 3 Results; 4 Discussion; References; Estimating Classification Accuracy and Consistency Indices for Multidimensional Latent Ability; 1 Introduction; 2 Model and Methods; 2.1 A Multidimensional Graded Response Model.

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, 2014. 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).