OBJECTIVE: Psychology Research Unit, Indian Statistical Institute, invites application for ' ORIENTATION TRAINING ON ADVANCED APPLIED PSYCHOMETRICS  '.  Classical test theory(CTT) is sample-dependent, as reliability coefficients can differ between groups, impacting the generalizability of findings.Another critical drawback is the failure to address item difficulty and discrimination independently. CTT treats items as interchangeable, neglecting the nuances of each item's contribution to measurement precision. This oversimplification limits the test developer's ability to identify and modify specific problematic items, hindering the refinement of assessments.In conclusion, while Classical Test Theory has played a significant role in the history of psychometrics, its limitations in accounting for measurement error variability and individual item characteristics underscore the need for more sophisticated approaches. Aim of this workshop is to disseminate (a) classical test theory, (b)hierarchical cluster analysis of items, (c) item response theory, and (d) structural equation modelling. This knowledge is relatively new in Indian researches in Psychology. This model is useful in Machine learning for computer adaptive testing. Finally, it will be used for personalized testing.

Registration: Free only for registered trainees. 

Certificate: One certificate will be provided after submission of the assignment.

Mode: Online in Zoom. Offline: At the venue of the Indian Statistical Institute. 

Important Dates: Registration starts: 12th December, 2023

Registration completes: 20th December, 2023.

Declaration of selected trainees: 23 rd December,2023.

Class starts: 27th December,2023