Using item response theory models to evaluate the practice environment scale

Academic Article


  • Background and Purpose: The purpose of this article is to introduce different types of item response theory models and to demonstrate their usefulness by evaluating the Practice Environment Scale. Methods: Item response theory models such as constrained and unconstrained graded response model, partial credit model, Rasch model, and one-parameter logistic model are demonstrated. The Akaike information criterion (AIC) and Bayesian information criterion (BIC) indices are used as model selection criterion. Results: The unconstrained graded response and partial credit models indicated the best fit for the data. Almost all items in the instrument performed well. Conclusions: Although most of the items strongly measure the construct, there are a few items that could be eliminated without substantially altering the instrument. The analysis revealed that the instrument may function differently when administered to different unit types.
  • Published In

    Digital Object Identifier (doi)

    Author List

  • Raju D; Su X; Patrician PA
  • Start Page

  • 323
  • End Page

  • 341
  • Volume

  • 22
  • Issue

  • 2