Probabilistic Models for Some Intelligence and Attainment Tests

By G. Rasch. 1981

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Joshua L. Howard
2. Marylène Gagné
3. Alexandre J. S. Morin
4. Mike Wu
5. Aritra Ghosh
6. Noah D. Goodman
7. C. Piech
8. Neil Heffernan III

Citations in the corpus

• Variational Item Response Theory: Fast, Accurate, and Expressive (2020, methodology): “The 1PL IRT model, also called the Rasch model [36], is given in Eq.”
• Modeling Item Response Theory with Stochastic Variational Inference (2021, methodology): “The 1PL-IRT model, also called the Rasch model (Rasch, 1960), is given in Equation 1, p(ri,j = 1|ai, dj) = 1 1 + e−ai−dj (1) where ri,j is the response by the i-th person to the j-th item.”
• Putting the pieces together: reviewing the structural conceptualization of motivation within SDT (2020, methodology): “These authors applied Rasch analysis (Rasch 1960) to the Academic Motivation Scale (Vallerand et al.”
• Context-Aware Attentive Knowledge Tracing (2020, methodology): “We use a classic yet powerful model in psychometrics, the Rasch model (which is also known as the 1PL IRT model) [16, 25], to construct raw question and knowledge embeddings.”