rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Quantitative Psychology Research
    sub title: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015
  name:
    name part: van der Ark, L. Andries.
    role:
      role term: editor.
  name:
    name part: Bolt, Daniel M.
    role:
      role term: editor.
  name:
    name part: Wang, Wen-Chung.
    role:
      role term: editor.
  name:
    name part: Douglas, Jeffrey A.
    role:
      role term: editor.
  name:
    name part: Wiberg, Marie.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 398 p. 50 illus., 29 illus. in color. online resource.
  abstract: 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).
  table of contents: Continuation Ratio Model in Item Response Theory and Selection of Models for Polytomous Items -- Using the Asymmetry of Item Characteristic Curves (ICCs) to Learn about Underlying Item Response Processes -- A Three-Parameter Speeded Item Response Model: Estimation and Application -- An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects -- Item Response Theory Models for Multidimensional Ranking Items -- Different Growth Measures on Different Vertical Scales -- Investigation of Constraint-weighted Item Selection Procedures in Polytomous CAT -- Estimating Classification Accuracy and Consistency Indices for Multidimensional Latent Ability -- Item Response Theory Models for Person Dependence in Paired Samples -- Using Sample Weights in Item Response Data Analysis under Complex Sample Designs -- Scalability Coefficients for Two-Level Polytomous Item Scores: An Introduction and an Application -- Numerical Differences Between Guttman's Reliability Coefficients and the GLB -- A Framework for Optimizing the costs and GT based reliabilities in Large-scale Performance -- A Confirmatory Factor Model for the Investigation of Cognitive Data Showing a Ceiling Effect: an Example -- The Goodness of Sample Loadings of Principal Component Analysis in Approximating to Factor Loadings with High Dimensional Data -- Remedies for Degeneracy in Candecomp/Parafac -- Growth Curve Modeling for Nonnormal Data: A Two-stage Robust Approach versus a Semiparametric Bayesian Approach -- The Specification of Attribute Structures and Its Effects on Classification Accuracy in Diagnostic Test Design -- Conditions of Completeness of the Q-Matrix of Tests for Cognitive Diagnosis -- Application Study of Online Multistage Intelligent Adaptive Testing for Cognitive Diagnosis -- Dichotomous and Polytomous Q Matrix Theory -- Multidimensional Joint Graphical Display of Symmetric Analysis: Back to the Fundamentals -- Classification of Writing Patterns Using Keystrok…
  note: edited by L. Andries van der Ark, Daniel M. Bolt, Wen-Chung Wang, Jeffrey A. Douglas, Marie Wiberg.
  subject:
    topic: Statistics
  subject:
    topic: Psychology
    topic: Methodology
  subject:
    topic: Psychological measurement
  subject:
    topic: Psychometrics
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  subject:
    topic: Psychometrics
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Psychological Methods/Evaluation
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Proceedings in Mathematics & Statistics, 167
  identifier: 9783319387598
  identifier: http://dx.doi.org/10.1007/978-3-319-38759-8
  record info:
    record creation date: 160804
    record change date: 20161118021601.0
    record identifier: 978-3-319-38759-8