Psychometrika View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1936

PUBLISHER

Springer US

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/11336

Recent publications latest 20 shown

  • 2019-03-26 Compensation and Amplification of Attenuation Bias in Causal Effect Estimates
  • 2019-03-11 Zero-Inflated Regime-Switching Stochastic Differential Equation Models for Highly Unbalanced Multivariate, Multi-Subject Time-Series Data
  • 2019-03 A Simple Method for Comparing Complex Models: Bayesian Model Comparison for Hierarchical Multinomial Processing Tree Models Using Warp-III Bridge Sampling
  • 2019-03 A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
  • 2019-03 Semi-sparse PCA
  • 2019-03 Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis
  • 2019-03 On the Identifiability of Diagnostic Classification Models
  • 2019-03 Effects of Discontinue Rules on Psychometric Properties of Test Scores
  • 2019-03 Book Review
  • 2019-02-25 Statistical Foundations for Computerized Adaptive Testing with Response Revision
  • 2019-01-17 An Academic Genealogy of Psychometric Society Presidents
  • 2019-01-09 Creating Misspecified Models in Moment Structure Analysis
  • 2019-01-03 Average Effects Based on Regressions with a Logarithmic Link Function: A New Approach with Stochastic Covariates
  • 2018-12-03 Variable-Length Stopping Rules for Multidimensional Computerized Adaptive Testing
  • 2018-12 Direct Schmid–Leiman Transformations and Rank-Deficient Loadings Matrices
  • 2018-12 Nonlinear Predictive Models for Multiple Mediation Analysis: With an Application to Explore Ethnic Disparities in Anxiety and Depression Among Cancer Survivors
  • 2018-12 Review of Observation and Experiment: An Introduction to Causal Inference by Paul R. Rosenbaum
  • 2018-12 Book Review
  • 2018-11-19 Estimating the Cognitive Diagnosis Q Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset
  • 2018-11-12 On a Generalization of Local Independence in Item Response Theory Based on Knowledge Space Theory
  • JSON-LD is the canonical representation for SciGraph data.

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