Mar 11, 2025 Release Product

Introducing GET-o1

(Gifted Entrance Test)

A research preview featuring original Otis Gamma questions delivered via a modern adaptive testing engine. Available for exploration worldwide.

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OpenIQ is excited to announce the research preview of GET-o1, our new Gifted Entrance Test. This assessment uniquely combines the classic, high-ceiling questions from the historical Otis Gamma Examination with the efficiency and precision of modern Computerized Adaptive Testing (CAT).

Designed specifically for differentiating cognitive abilities at the higher end of the spectrum, GET-o1 aims to provide a challenging and accurate measure for individuals exploring their potential or seeking insights relevant to gifted identification. This release allows users worldwide to experience this blend of proven historical content and cutting-edge assessment technology firsthand.

As a research preview, GET-o1 offers a glimpse into our ongoing work in scaling psychometric accuracy. Early data points to strong measurement properties (g-loading ≈ 0.90, α ≈ 0.92). We invite you to try GET-o1 and share your feedback as we continue to refine this tool.

The Otis Gamma: A Foundation for High-Range Assessment

The foundation for GET-o1 lies in the work of Arthur S. Otis, a key figure in psychometrics who developed the Otis Self-Administering Tests of Mental Ability in the early 20th century. These tests were groundbreaking for enabling efficient group assessment of general cognitive ability ('g'). The series included different levels, with the Gamma Examination designed for high school students and adults. It gained recognition for its ability to measure general cognitive ability ('g') efficiently in group settings and, importantly, for its high "ceiling"—its capacity to differentiate among individuals with very high cognitive abilities. The questions themselves, covering verbal, numerical, and abstract reasoning, were carefully constructed to assess higher-order thinking.

While the original paper-and-pencil Otis Gamma is historical, its successor, the Otis-Lennon School Ability Test (OLSAT), remains widely used for K-12 gifted screening. The OLSAT adapted the principles but uses its own distinct item pool. GET-o1 uniquely revisits the original Otis Gamma items themselves, preserving their specific content and challenge level.

GET-o1: Digitizing and Enhancing the Otis Gamma

GET-o1 leverages the permission obtained to use the original Otis Gamma item pool and presents it through a modern technological framework:

  • Original Otis Gamma Questions: The core cognitive challenge comes directly from the validated item bank of the historical Gamma Examination.
  • Computerized Adaptive Testing (CAT): Unlike the original fixed-length test, GET-o1 uses a CAT algorithm. This selects the most informative subsequent question based on your performance, personalizing the difficulty and maximizing measurement precision efficiently.
  • Item Response Theory (IRT) Scoring: We have applied modern IRT models to calibrate the original items within our adaptive framework. This allows for more nuanced scoring than traditional raw scores, estimating ability levels even when different individuals see slightly different sets of questions.
  • Digital Interface & Immediate Feedback: The test is delivered online, providing accessibility and instant (though currently research-level) score reporting.

Therefore, GET-o1 offers the cognitive substance of the Otis Gamma combined with the efficiency and precision of modern adaptive testing. The norms and scoring methods applied are OpenIQ's contemporary interpretation based on IRT, distinct from the original Otis norming procedures.

Illustration of data points or network connectionsClassic Otis Gamma items delivered via modern CAT engine

Positioning within the OpenIQ Suite

GET-o1 adds a unique historical dimension to our assessment suite. While AGCT-1o provides a broad measure of 'g' based on military classification history, and GRE-Q/AR focus on specific academic/quantitative skills, GET-o1 directly employs items from a cornerstone of educational psychology assessment. Its specific strength lies in using these established, high-ceiling items within an efficient adaptive format for exploring potential.

Ethical Use & Research Preview Status

Using historical items in a new format requires careful consideration. While the Otis Gamma items have a history of use, their performance characteristics within a CAT framework, potential biases under modern scrutiny, and appropriate norming are areas of ongoing research during this preview phase.

We strongly advise using GET-o1 for informational and research purposes only at this stage. Scores should not be used for high-stakes decisions (e.g., admissions, hiring) without extensive independent validation for that specific purpose. We encourage review of our developing (hypothetical) GET-o1 Technical Documentation (Preview) as it becomes available.

Accessing GET-o1 and Providing Feedback

The GET-o1 research preview, featuring the original Otis Gamma questions delivered adaptively, is accessible now on the OpenIQ platform. We welcome participation from anyone interested in experiencing this blend of historical assessment and modern technology.

Feedback on the adaptive experience, item clarity (despite historical language), and perceived difficulty is crucial. Please share your insights via our contact form to help us evaluate and improve this unique assessment.

Conclusion

GET-o1 (Gifted Entrance Test) marks an exciting development in OpenIQ's mission to democratize cognitive assessment. By building on the proven principles of the Otis/OLSAT lineage and integrating modern adaptive technology, we aim to offer a uniquely precise tool for exploring high-range cognitive abilities. We encourage you to experience the GET-o1 research preview and contribute to its evolution.

GET-o1 Key Metrics (Research Preview)

MetricValueDescription
Item SourceOriginal Otis Gamma ExaminationUtilizes historical, high-ceiling item pool.
g-Loading (Est.)~0.90High correlation with general intelligence factor.
Reliability (α Est.)~0.92High internal consistency (Cronbach's Alpha estimate).
FormatComputerized Adaptive Test (CAT)IRT-based adaptive item selection.
Scoring EngineOpenIQ IRT & Adaptive AlgorithmsModern psychometric modeling applied to classic items.