Accession Number : ADA137223

Title :   Estimation of Two-Parameter Logistic Item Response Curves.

Descriptive Note : Research rept.,


Personal Author(s) : Tsutakawa,R K

PDF Url : ADA137223

Report Date : Dec 1983

Pagination or Media Count : 34

Abstract : This paper presents a method for estimating certain characteristics of test items which are designed to measure ability, or knowledge, in a particular area. Under the assumption that ability parameters are sampled from a normal distribution, the EM algorithm is used to derive maximum likelihood estimates of item parameters of the two-parameter logistic item response curves. The observed information matrix is used to approximate the covariances of these estimates. Responses to a questionnaire on general arthritis knowledge are used to illustrate the procedure and simulated data are used to compare the actual versus estimated items parameters. A computational note is included to facilitate the extensive numerical work required to implement the procedure. (Author)

Descriptors :   *Parametric analysis, *Maximum likelihood estimation, *Mathematical models, Equations, Matrices(Mathematics), Normal distribution, Algorithms, Iterations, Simulation, Questionnaires, Arthritis

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE