# Construction of the Berkeley Innovation Index: A Higher-Order Item Response Theory Model Approach

@inproceedings{Larsson2016ConstructionOT, title={Construction of the Berkeley Innovation Index: A Higher-Order Item Response Theory Model Approach}, author={Johan E Larsson and Alexander Fred-Ojala}, year={2016} }

The Berkeley Innovation Index (BII) is a tool developed for assessment of individual innovation capability. [...] Key Method In this thesis, the algorithm for the BII is constructed by applying a Higher-Order Item Response Theory model for hierarchical latent trait estimation. Simultaneous estimation of the vast amount of model parameters is done by employing a Markov Chain Monte Carlo (MCMC) method that utilizes a multi-level bayesian inference sampling technique. The validity, feasibility, and usefulness of…Expand Abstract

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