Maximum Marginal Likelihood Estimation for Semiparametric Item Analysis
Psychometrika Volume 56, Number 3, ISSN 0033-3123
A method is presented for estimating the item characteristic curve (ICC) using polynomial regression splines. Estimation of spline ICCs is described by maximizing the marginal likelihood formed by integrating ability over a beta prior distribution. Simulation results compare this approach with the joint estimation of ability and item parameters. (SLD)
Ramsay, J.O. & Winsberg, S. (1991). Maximum Marginal Likelihood Estimation for Semiparametric Item Analysis. Psychometrika, 56(3), 365.