This course provides a thorough and comprehensive overview of Bayesian psychometric modelling. It presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. This course explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking. The course starts with simple models and then builds from them to develop more complicated models. Throughout the course, procedures will be illustrated using examples primarily drawn from educational assessments. The course will use the WinBUGS software package.
International journal of selection and assessment
TPM Testing, Psychometrics, Methodology in Applied Psychology
Assessment & Evaluation in Higher Education
Practical assessment, research & evaluation
The International Journal of Assessment and Evaluation
Educational Assessment, Evaluation and Accountability
Large-scale Assessments in Education
The Journal of Technology, Learning, and Assessment
Applied Bayesian Modelling by 
Bayesian Psychometric Modeling by 
Bayesian Data Analysis by 
Basic and Advanced Bayesian Structural Equation Modeling by 
Bayesian Statistics for the Social Sciences by 
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists by 
