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The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model
16 references·10 citing·28 second hop
The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model (2018)The Sufficient and Necessary Condition fo…Identifying Latent Structures in Restricted Latent Class Models (2017)Identifying Latent Structures…Identifiability of restricted latent class models with binary responses (2017)Identifiability of restricted…Identifiability of Diagnostic Classification Models (2015)Identifiability of Diagnostic…Statistical Analysis ofQ-Matrix Based Diagnostic Classification Models (2014)Statistical Analysis ofQ-Matr…The DINA model as a constrained general diagnostic model: Two variants of a model equivalency (2013)The DINA model as a constrain…The Generalized DINA Model Framework (2011)The Generalized DINA Model Fr…On the Analysis of Fraction Subtraction Data: The DINA Model, Classification, Latent Class Sizes, and the Q-Matrix (2010)On the Analysis of Fraction S…Cluster Analysis for Cognitive Diagnosis: Theory and Applications (2009)Cluster Analysis for Cognitiv…Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables (2008)Defining a Family of Cognitiv…A general diagnostic model applied to language testing data (2007)A general diagnostic model ap…Measurement of psychological disorders using cognitive diagnosis models. (2006)Measurement of psychological …A GENERAL DIAGNOSTIC MODEL APPLIED TO LANGUAGE TESTING DATA (2005)A GENERAL DIAGNOSTIC MODEL AP…Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory (2001)Cognitive Assessment Models w…RULE SPACE: AN APPROACH FOR DEALING WITH MISCONCEPTIONS BASED ON ITEM RESPONSE THEORY (1983)RULE SPACE: AN APPROACH FOR D…Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models (1974)Exploratory Latent Structure …Efficient Estimation and Local Identification in Latent Class Analysis (1956)Efficient Estimation and Loca…Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models (2022)Learning Latent and Hierarchi…Examining cognitive diagnostic modeling in classroom assessment conditions (2021)Examining cognitive diagnosti…Partial identifiability of restricted latent class models (2020)Partial identifiability of re…Learning Attribute Hierarchies From Data: Two Exploratory Approaches (2020)Learning Attribute Hierarchie…A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models (2020)A Constrained Metropolis–Hast…Sufficient and Necessary Conditions for the Identifiability of the Q-matrix (2019)Sufficient and Necessary Cond…Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications (2019)Structured Latent Factor Anal…On the Identifiability of Diagnostic Classification Models (2019)On the Identifiability of Dia…Cognitive diagnosis models for multiple strategies (2019)Cognitive diagnosis models fo…Estimating the Cognitive Diagnosis Q \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varvec{Q}$$\end{document} Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset (2018)Estimating the Cognitive Diag…Handbook of Personality : Theory and Research (1992)Principles and practice in reporting structural equation analyses. (2002)31A Review of Cognitively Diagnostic Assessment and a Summary of Psychometric Models (2006)Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art (2008)Diagnostic and Statistical Manual of Mental Disorders (2013)A Coefficient of Agreement for Nominal Scales (1960)Statistical Theories of Mental Test Scores (1969)The Measurement of Observer Agreement for Categorical Data (1977)Current Issues in Competence Modeling and Assessment (2008)Why item parcels are (almost) never appropriate: Two wrongs do not make a right—Camouflaging misspecification with item parcels in CFA models. (2013)Handbook of Modern Item Response Theory (1997)Relative and Absolute Fit Evaluation in Cognitive Diagnosis Modeling (2013)Hierarchical Diagnostic Classification Models: A Family of Models for Estimating and Testing Attribute Hierarchies (2014)A General Method of Empirical Q-matrix Validation (2015)Qualitative Data Analysis (2008)Latent Variable Models and Factor Analysis (1989)Data-Driven Learning of Q-Matrix (2012)A sequential cognitive diagnosis model for polytomous responses (2016)Latent Class Models (1995)DINA Model and Parameter Estimation: A Didactic (2008)Statistical Refinement of the Q-Matrix in Cognitive Diagnosis (2013)Latent Structure Analysis. (1969)Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm (1979)Latent Class Cluster Analysis (2002)poLCA : An R Package for Polytomous Variable Latent Class Analysis (2011)Feedback in written instruction: The place of response certitude (1989)Applications of Item Response Theory To Practical Testing Problems (2012)Comorbidity: A network perspective (2010)
this work references cited by second hop

References

  • 1974Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models1,639 cited
  • 2001Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory1,010 cited
  • 1983RULE SPACE: AN APPROACH FOR DEALING WITH MISCONCEPTIONS BASED ON ITEM RESPONSE THEORY922 cited
  • 2011The Generalized DINA Model Framework777 cited
  • 2006Measurement of psychological disorders using cognitive diagnosis models.653 cited
  • 2008Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables560 cited
  • 2007A general diagnostic model applied to language testing data454 cited
  • 2005A GENERAL DIAGNOSTIC MODEL APPLIED TO LANGUAGE TESTING DATA258 cited
  • 2009Cluster Analysis for Cognitive Diagnosis: Theory and Applications245 cited
  • 2010On the Analysis of Fraction Subtraction Data: The DINA Model, Classification, Latent Class Sizes, and the Q-Matrix209 cited
  • 2014Statistical Analysis ofQ-Matrix Based Diagnostic Classification Models166 cited
  • 1956Efficient Estimation and Local Identification in Latent Class Analysis145 cited
  • 2017Identifying Latent Structures in Restricted Latent Class Models121 cited
  • 2015Identifiability of Diagnostic Classification Models116 cited

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  • 2017Identifiability of restricted latent class models with binary responses111 cited
  • 2013The DINA model as a constrained general diagnostic model: Two variants of a model equivalency91 cited
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    • 2020Partial identifiability of restricted latent class models72 cited
    • 2019Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications59 cited
    • 2019On the Identifiability of Diagnostic Classification Models51 cited
    • 2018Estimating the Cognitive Diagnosis Q \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varvec{Q}$$\end{document} Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset49 cited
    • 2019Sufficient and Necessary Conditions for the Identifiability of the Q-matrix48 cited
    • 2019Cognitive diagnosis models for multiple strategies36 cited
    • 2020Learning Attribute Hierarchies From Data: Two Exploratory Approaches36 cited
    • 2021Examining cognitive diagnostic modeling in classroom assessment conditions34 cited
    • 2022Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models34 cited
    • 2020A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models32 cited