Jorge Sinval is a psychometrician who works as a research fellow at the National Institute of Education, Nanyang Technological University, Singapore (NIE NTU, Singapore). He has experience teaching statistical analysis, psychometrics, research design, and data analysis in the B.Sc., M.Sc., and Ph.D. cycles of study. He holds a double Ph.D. from the University of São Paulo (Doctor of Science) and from the University of Porto (Doctor of Psychology). Jorge received his master’s degree in psychology (with a specialization in work and organizational psychology) from the Catholic University of Portugal. MSc in epidemiology from the Faculty of Medicine of the University of Lisbon. His B.Sc. in psychology was attained at the Catholic University of Portugal. Jorge is currently enrolled in a post-doc at the Paulista School of Medicine (Federal University of São Paulo) and in the master’s in data science at the ISCTE Business School (ISCTE-IUL). His research interests include psychometrics, Bayesian structural equation modeling, organizational psychology, epidemiology, and International large-scale assessments (e.g. TIMSS, PISA, and PIRLS). Being a Cochrane author, Jorge is also very interested in occupational health, developing with an international team of coauthors a systematic review of the interventions for improving recovery from work. He is particularly interested in two statistical techniques: Bayesian Structural Equation Modeling and Network Meta-Analysis; using R as his preferred statistical programming language. He collaborates on several projects. Being one of them, the Burnout Assessment Tool (BAT) consortium, where he belongs to the Portuguese and Singaporean teams.