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A mixture model for responses and response times with a higher‐order ability structure to detect rapid guessing behaviour
16 references·4 citing·35 second hop
A mixture model for responses and response times with a higher‐order ability structure to detect rapid guessing behaviour (2019)A mixture model for responses and respons…A mixture hierarchical model for response times and response accuracy (2015)A mixture hierarchical model …Bayesian Item Response Modeling: Theory and Applications (2010)Bayesian Item Response Modeli…Bayesian Item Response Modeling (2010)Bayesian Item Response Modeli…Bayesian Procedures for Identifying Aberrant Response-Time Patterns in Adaptive Testing (2008)Bayesian Procedures for Ident…Multivariate and Mixture Distribution Rasch Models (2007)Multivariate and Mixture Dist…A Hierarchical Framework for Modeling Speed and Accuracy on Test Items (2007)A Hierarchical Framework for …An Application of Item Response Time: The Effort‐Moderated IRT Model (2006)An Application of Item Respon…A Lognormal Model for Response Times on Test Items (2006)A Lognormal Model for Respons…Response Time Effort: A New Measure of Examinee Motivation in Computer-Based Tests (2005)Response Time Effort: A New M…Higher-Order Latent Trait Models for Cognitive Diagnosis (2004)Higher-Order Latent Trait Mod…Item Parameter Estimation Under Conditions of Test Speededness: Application of a Mixture Rasch Model With Ordinal Constraints (2002)Item Parameter Estimation Und…MCMC Estimation and Some Model-Fit Analysis of Multidimensional IRT Models (2001)MCMC Estimation and Some Mode…A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models (1999)A Straightforward Approach to…Modeling Item Response Times With a Two‐State Mixture Model: A New Method of Measuring Speededness (1997)Modeling Item Response Times …Bayesian Estimation of Normal Ogive Item Response Curves Using Gibbs Sampling (1992)Bayesian Estimation of Normal…A Didactic Explanation of Item Bias, Item Impact, and Item Validity From a Multidimensional Perspective (1992)A Didactic Explanation of Ite…Comparing different response time threshold setting methods to detect low effort on a large-scale assessment (2021)Comparing different response …Children’s Play and Problem Solving in Motion-Based Educational Games: Synergies between Human Annotations and Multi-Modal Data (2021)Children’s Play and Problem S…Parameter Estimation Accuracy of the Effort-Moderated Item Response Theory Model Under Multiple Assumption Violations (2020)Parameter Estimation Accuracy…Assessing Preknowledge Cheating via Innovative Measures: A Multiple-Group Analysis of Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts (2020)Assessing Preknowledge Cheati…Probabilistic Models for Some Intelligence and Attainment Tests (1961)Motivation in Education: Theory, Research, and Applications (1995)Low Examinee Effort in Low-Stakes Assessment: Problems and Potential Solutions (2005)A latent profile analysis of college students’ achievement goal orientation (2006)Detecting and Deterring Insufficient Effort Responding to Surveys (2011)Separating the Shirkers from the Workers? Making Sure Respondents Pay Attention on Self‐Administered Surveys (2013)Item Response Theory: Principles and Applications (1984)Item Response Theory (1985)Using Statistical Procedures to Identify Differentially Functioning Test Items (1998)Three Generations of DIF Analyses: Considering Where It Has Been, Where It Is Now, and Where It Is Going (2007)Measuring progressions: Assessment structures underlying a learning progression (2009)Applications of Item Response Theory To Practical Testing Problems (2012)Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithm (1981)Handbook of Modern Item Response Theory (1997)Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory (2001)A general diagnostic model applied to language testing data (2007)An Empirically Based Method of Q‐Matrix Validation for the DINA Model: Development and Applications (2008)Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables (2008)Statistical Theories of Mental Test Scores (1969)Stochastic Simulation (1987)Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses (1999)Bayesian Estimation of a Multilevel IRT Model Using Gibbs Sampling (2001)A Rasch Model for Partial Credit Scoring (1982)Posterior Predictive Assessment of Item Response Theory Models (2006)Multiple Factor Analysis (2007)High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm (2009)Metropolis-Hastings Robbins-Monro Algorithm for Confirmatory Item Factor Analysis (2010)Conceptual Issues in Response‐Time Modeling (2009)Psychometrics Behind Computerized Adaptive Testing (2014)A tutorial on how to do a Mokken scale analysis on your test and questionnaire data (2016)Hierarchical diffusion models for two-choice response times. (2011)On the Complexity of Item Response Theory Models (2017)Recent Methods for the Study of Measurement Invariance With Many Groups (2017)Policy Ideology in European Mass Publics, 1981–2016 (2019)Bayesian Item Response Modeling in R with brms and Stan (2019)
this work references cited by second hop

References

  • 2004Higher-Order Latent Trait Models for Cognitive Diagnosis626 cited
  • 2005Response Time Effort: A New Measure of Examinee Motivation in Computer-Based Tests601 cited
  • 2007A Hierarchical Framework for Modeling Speed and Accuracy on Test Items514 cited
  • 1999A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models476 cited
  • 2010Bayesian Item Response Modeling448 cited
  • 1992Bayesian Estimation of Normal Ogive Item Response Curves Using Gibbs Sampling419 cited
  • 1992A Didactic Explanation of Item Bias, Item Impact, and Item Validity From a Multidimensional Perspective389 cited
  • 2006A Lognormal Model for Response Times on Test Items385 cited
  • 2001MCMC Estimation and Some Model-Fit Analysis of Multidimensional IRT Models349 cited
  • 2010Bayesian Item Response Modeling: Theory and Applications261 cited
  • 2006An Application of Item Response Time: The Effort‐Moderated IRT Model260 cited
  • 1997Modeling Item Response Times With a Two‐State Mixture Model: A New Method of Measuring Speededness243 cited
  • 2002Item Parameter Estimation Under Conditions of Test Speededness: Application of a Mixture Rasch Model With Ordinal Constraints200 cited
  • 2015A mixture hierarchical model for response times and response accuracy198 cited

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  • 2008Bayesian Procedures for Identifying Aberrant Response-Time Patterns in Adaptive Testing172 cited
  • 2007Multivariate and Mixture Distribution Rasch Models152 cited
  • Cited by

    • 2021Comparing different response time threshold setting methods to detect low effort on a large-scale assessment39 cited
    • 2020Assessing Preknowledge Cheating via Innovative Measures: A Multiple-Group Analysis of Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts36 cited
    • 2021Children’s Play and Problem Solving in Motion-Based Educational Games: Synergies between Human Annotations and Multi-Modal Data35 cited
    • 2020Parameter Estimation Accuracy of the Effort-Moderated Item Response Theory Model Under Multiple Assumption Violations35 cited