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Quickly create a new user account for the Elevate learning management system (this website) to access any modules. 

You do NOT have to be an NCME member to do this! 

Welcome to the ITEMS Portal!

The ITEMS portal is your entry point into a world of learning in educational measurement and assessment. ITEMS modules are its centerpiece, which are short self-contained lessons with various supporting resources that facilitate self-guided learning, team-based discussions, as well as professional instruction. In addition, you can explore a network of other professional organizations, stay up-to-date via news feeds, and contribute to the success of the portal. Enjoy your learning experience!

New Digital Modules:

Digital Module 01: Reliability in Classical Test Theory
​In this digital ITEMS module, Dr. Charlie Lewis and Dr. Michael Chajewski provide a two-part introduction to the topic of reliability from the perspective of classical test theory (CTT).
Digital Module 02: Scale Reliability in Structural Equation Modeling
​In this digital ITEMS module, Dr. Greg Hancock and Dr. Ji An provide an overview of scale reliability from the perspective of structural equation modeling (SEM) and address some of the limitations of Cronbach’s α.
Digital Module 03: Nonparametric Item Response Theory
In this digital ITEMS module Dr. Stefanie Wind introduces the framework of nonparametric item response theory (IRT), in particular Mokken scaling, which can be used to evaluate fundamental measurement properties with less strict assumptions than parametric IRT models.
Digital Module 04: Diagnostic Measurement Checklists
​In this digital ITEMS module, Dr. Natacha Carragher, Dr. Jonathan Templin, and colleagues provide a didactic overview of the specification, estimation, evaluation, and interpretation steps for diagnostic measurement / classification models (DCMs) centered around checklists for practitioners. A library of macros and supporting files for Excel, SAS, and Mplus is provided along with video tutorials for key practices.
Digital Module 05: The G-DINA Framework
In this digital ITEMS module, Dr. Wenchao Ma and Dr. Jimmy de la Torre introduce the G-DINA model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models for the purpose of diagnostic measurement.
Digital Module 06: Posterior Predictive Model Checking
​In this digital ITEMS module, Dr. Allison Ames and Aaron Myers ​discuss the most common Bayesian approach to model-data fit evaluation, which is called Posterior Predictive Model Checking (PPMC), for simple linear regression and item response theory models.
Digital Module 07: Subscores - Evaluation & Reporting
In this digital ITEMS module, Dr. Sandip Sinharay reviews the status quo on the reporting of subscores, which includes how they are used in operational reporting, what kinds of professional standards they need to meet, and how their psychometric properties can be evaluated.
Digital Module 08: Foundations of Operational Item Analysis
In this digital ITEMS module, Dr. Hanwook Yoo and Dr. Ronald K. Hambleton provide an accessible overview of operational item analysis approaches for dichotomously scored items within the frameworks of classical test theory and item response theory.
Digital Module 09: Sociocognitive Assessment for Diverse Populations
In this digital ITEMS module, Dr. Robert [Bob] Mislevy and Dr. Maria Elena Oliveri introduce and illustrate a sociocognitive perspective on educational measurement, which focuses on a variety of design and implementation considerations for creating fair and valid assessments for learners from diverse populations with diverse sociocultural experiences.

Attention: You need to quickly create a (free!) user account within the Elevate learning management system (this website) to access any modules - you do NOT have to be an NCME member to do this. 

Portal Areas:

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Learn more about the mission of ITEMS here.

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Access our full catalog of PDF and digital modules here.

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Find out how to contribute to the ITEMS portal here.

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Find answers to common questions about ITEMS here.

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Get to know the core development and advisory team for ITEMS here.

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