Quantitative Psychology, 1st ed. 2020 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019 Springer Proceedings in Mathematics & Statistics Series, Vol. 322

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer reviewed presentations given at the 84th Annual International Meeting of the Psychometric Society (IMPS), organized by Pontificia Universidad Católica de Chile and held in Santiago, Chile during July 15th to 19th, 2019.

The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations.

Leading experts and promising young researchers have written the included chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 8th in a series of recent volumes to cover research presented at the IMPS.

Chapter 1: Stories Of Successful Careers In Psychometrics And What We Can Learn From Them.- Chapter 2: Developing A Concept Map For Rasch Measurement Theory.- Chapter 3: Person Parameter Estimation For IRT Models Of Forced-Choice Data: Merits And Perils Of Pseudo-Likelihood Approaches.- Chapter 4: An Extended Item Response Tree Model For Wording Effects In Mixed-Format Scales.- Chapter 5: The Four-Parameter Normal Ogive Model With Response Time.- Chapter 6: A Bayesian Graphical And Probabilistic Proposal For Bias Analysis.- Chapter 7: Comparing Hyperprior Distributions To Estimate Variance Components For Interrater Reliability Coefficients.- Chapter 8: A Hierarchical Joint Model For Bounded Response Time And Response Accuracy.- Chapter 9: Selecting A Presmoothing Model In Kernel Equating.- Chapter 10: Practical Implementation Of Test Equating Using R.- Chapter 11: Predictive Validity Under Partial Observability.- Chapter 12: Multiple-Group Propensity Score Inverse Weights Trimming And Its Impact On Covariate Balance And On Bias In Treatment Effect Estimation.- Chapter 13: Procrustes Penalty Function For Matching Matrices To Targets With Its Applications.- Chapter 14: Factor Score Estimation From The Perspective Of Item Response Theory.- Chapter 15: On The Precision Matrix In The Semi-High Dimensional Settings.- Chapter 16: The Performance Of The Modified Continuous A-Stratification Indices In Computerized Adaptive Testing.- Chapter 17: Constant CSEM Achieved Through Scale Transformation And Adaptive Testing.- Chapter 18: Synergized Bootstrapping: The Whole Is Faster Than The Sum Of Its Parts.- Chapter 19: Synchronized Time Profile With Applications To Nearest Neighbor Classification.- Chapter 20: Topic Modeling Of Constructed-Response Answers On Social Study Assessments.- Chapter 21: Impact Of Measurement Bias On Diagnostic Clinical Measures.- Chapter 22: Reliability And Structure Validity Of A Teacher Pedagogical Competencies Scale: A Case Study From Chile.- Chapter 23: Psychoperiscope.- Chapter 24: Modeling Household Food Insecurity With A Polytomous Rasch Model.- Chapter 25: Classical Perspectives Of Controlling Acquiescence With Balanced Scales.- Chapter 26: Testing Heterogeneity In Inter-Rater Reliability.- Chapter 27: An Application Of Regularized Extended Redundancy Analysis Via Generalized Redundancy Analysis Via Generalized Estimating Equations To The Study Of Co-Occurring Substance Use Among US Adults.- Chapter 28: Permutation Test Of Regression Coefficients In Social Network Data Analysis.- Index.

Marie Wiberg is professor of statistics with a specialty in psychometrics at Umeå University, Sweden. Her research interests include test equating, applied statistics, large-scale assessments and psychometrics in general.

Dylan Molenaar is assistant professor at the department of psychology, University of Amsterdam, the Netherlands. His research interests include item response theory, factor analysis, response time modeling, mixture modeling, modeling of intelligence test data, and modeling of genotype by environmental interactions.

Jorge González is associate professor at the department of statistics, Pontificia Universidad Católica de Chile. His research interests include statistical modeling of social sciences data, particularly in the fields of educational measurement and psychometrics.

Ulf Böckenholt is the John D. Gray Chair in Marketing at the Kellogg School of Management, Northwestern University. He is interested in the development and application of statistical and psychometric methods.

Jee-Seon Kim is professor in the department of educational psychology at the University of Wisconsin–Madison. Her research interests include multilevel and hierarchical modeling, longitudinal data analysis, latent variable modeling, and causal inference with clustered observational data. 

Includes chapters written by leading experts and promising young researchers

Addresses a diverse set of psychometric topics, including item response theory, multistage adaptive testing and cognitive diagnostic models

Features contributions by researchers from around the globe

Includes supplementary material: sn.pub/extras