J. Templin

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Measurement of psychological disorders using cognitive diagnosis models.

J. Templin, R. Henson, 2006, Psychological methods.

The Effects of Q-Matrix Misspecification on Parameter Estimates and Classification Accuracy in the DINA Model

J. Templin, A. Rupp, 2008 .

Diagnosing Teachers’ Understandings of Rational Numbers: Building a Multidimensional Test Within the Diagnostic Classification Framework

Andrew Izsák, Laine Bradshaw, Jonathan Templin, 2014 .

Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art

J. Templin, A. Rupp, 2008 .

Testing the Psychometric Properties of the Modeling Self-Efficacy Scale

Stephen J. Pape, J. Templin, Anu Sharma, 2019, Journal of Educational Research and Practice.

Skills Diagnosis Using IRT-Based Latent Class Models

J. Templin, R. Henson, L. Roussos, 2007 .

School Readiness Profiles and Growth in Academic Achievement

Hailey R. Love, J. Templin, Qianqian Pan, 2019, Front. Educ..

Modification Indices for Diagnostic Classification Models

J. Templin, Christy Brown, 2013, Multivariate behavioral research.

A comparison between the Bayesian parametric and the semiparametric approach in estimating nonpolynomial instantaneous indirect effect in the Structural Equation Model with ordinal data

J. Templin, Qianqian Pan, Lu Qin, 2019, Archives of Psychology.

A Gibbs Sampling Algorithm with Monotonicity Constraints for Diagnostic Classification Models

J. Templin, K. Yamaguchi, 2020, J. Classif..

A Gibbs Sampling Algorithm with Monotonicity Constraints for Diagnostic Classification Models

J. Templin, K. Yamaguchi, 2021, Journal of Classification.

Revisiting purpose and conceptualisation in the design of assessments of mathematics teachers’ knowledge

J. Templin, A. Cohen, C. Orrill, 2020 .

Gibbs Samplers for Logistic Item Response Models via the Pólya–Gamma Distribution: A Computationally Efficient Data-Augmentation Strategy

J. Templin, Zhehan Jiang, 2018, Psychometrika.

The Use and Misuse of Psychometric Models

J. Templin, Laine Bradshaw, 2014, Psychometrika.

Perspectives on Methodological Issues

Jonathan Templin, Dylan Wiliam, Kathleen Scalise, 2012 .

Exploring the Relationship Between School Transformation and Inclusion: A Bayesian Multilevel Longitudinal Analysis

Mary E. Morningstar, Jennifer A. Kurth, J. Templin, 2018 .

COMPARING THE MATCHING PROPERTIES OF COARSENED EXACT MATCHING, PROPENSITY SCORE MATCHING, AND GENETIC MATCHING IN A NATIONWIDE DATA AND A SIMULATION EXPERIMENT by

J. Templin, Shanshan Qin, K. Samuelsen, 2011 .

Are the sources of interest the same for everyone? Using multilevel mixture models to explore individual differences in appraisal structures

Jonathan Templin, Paul J. Silvia, P. Silvia, 2009 .

Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables

John T. Willse, Robert A. Henson, Jonathan Templin, 2009 .

Linking outcomes from peabody picture vocabulary test forms using item response models.

J. Templin, M. Rice, Lesa Hoffman, 2012, Journal of speech, language, and hearing research : JSLHR.

Diagnostic Measurement: Theory, Methods, and Applications

Jonathan Templin, André A. Rupp, Robert A. Henson, 2010 .

Obtaining Diagnostic Classification Model Estimates Using Mplus

Lesa Hoffman, Jonathan Templin, J. Templin, 2013 .

Combining Item Response Theory and Diagnostic Classification Models: A Psychometric Model for Scaling Ability and Diagnosing Misconceptions

Laine Bradshaw, Jonathan Templin, J. Templin, 2014, Psychometrika.

Hierarchical Diagnostic Classification Models: A Family of Models for Estimating and Testing Attribute Hierarchies

Laine Bradshaw, Jonathan Templin, J. Templin, 2014, Psychometrika.

Identifying dyslexia with confirmatory latent profile analysis

J. Templin, Christopher R. Niileksela, 2018, Psychology in the Schools.

Estimation of multidimensional item response theory models with correlated latent variables using variational autoencoders

Jonathan Templin, Mariana Curi, Geoffrey A. Converse, 2021, Mach. Learn..

Airbnb’s effect on hotel sales growth

Jonathan Templin, Manisha Singal, J. Templin, 2018, International Journal of Hospitality Management.

Direct Estimation of Diagnostic Classification Model Attribute Mastery Profiles via a Collapsed Gibbs Sampling Algorithm

J. Templin, K. Yamaguchi, 2020, Psychometrika.

Spurious Latent Classes in the Mixture Rasch Model

J. Templin, A. Cohen, N. Alexeev, 2011 .

Using Mplus to Estimate the Log-Linear Cognitive Diagnosis Model

Jonathan L. Templin, Meghan Fager, Jesse R. Pace, 2019, Handbook of Diagnostic Classification Models.

Measuring the Reliability of Diagnostic Classification Model Examinee Estimates

J. Templin, Laine Bradshaw, 2013, J. Classif..

Gibbs Samplers for Logistic Item Response Models via the Pólya–Gamma Distribution: A Computationally Efficient Data-Augmentation Strategy

Zhehan Jiang, Jonathan Templin, J. Templin, 2018, Psychometrika.

Combining Item Response Theory and Diagnostic Classification Models: A Psychometric Model for Scaling Ability and Diagnosing Misconceptions

J. Templin, Laine Bradshaw, 2013, Psychometrika.

Item Response Theory

J. Templin, 2012 .

Comparing the Two- and Three-Parameter Logistic Models via Likelihood Ratio Tests

Jonathan Templin, J. Templin, A. Cohen, 2015, Applied psychological measurement.

Using Efficient Model Based Sum‐Scores for Conducting Skills Diagnoses

Jonathan Templin, Robert A. Henson, Jeffrey A Douglas, 2007 .