OSCATS 0.6 Released

The overdue version 0.6 of OSCATS is now available in source and Windows binaries (32- and 64-bit). New 32- and 64-bit Windows binaries of GSL are also available.  While functional, this release should still be considered another in a line of Beta releases leading up to version 1.0.  Testers wanted!  Send feedback to the mailing list or file an issue for coding errors.

Major changes in this release include:

• New OscatsSpace and OscatsPoint classes for a unified representation of continuous, binary, and ordinal latent spaces
• Unification of the OscatsContModel and OscatsDiscrModel into a single OscatsModel based on the new latent space representation
• Generalization of OscatsItem to allow any arbitrary number of models for complex simulation studies

Other highlights include:

• Implementation of the a-Stratified item selection algorithm
• Newly implemented models:
• Partial Credit, Generalized Partial Credit
• Graded Response (Homogenous and Heterogenous Logistic)
• New examples, including implementation of a custom algorithm in Python

For a complete list of changes, see the repository commit log.

Plans for upcoming development include:

• Support for simultaneous testing of multiple examinees
• Exposure control and item selection constraints
• R Bindings
• Support for GObject Introspection
• Example integration with Concerto for CAT administration

OSCATS 0.5 Released

OSCATS version 0.5 has been released.  Source and compiled Windows binary distributions are available, as well as a compiled distribution of GSL 1.14 for Windows.

Note of Upcoming Changes:
The language bindings will be shifting to GObject Introspection-based implementations, where possible, by version 1.0.  This will streamline bindings generation even more and make OSCATS potentially available in more programming languages.  However, it may entail some changes to function nomenclature.