a program for Rasch Scaling

RSP analyzes dichotomous item responses with the Rasch model. These analyses are useful for test design, item banking, adaptive testing, item bias, change measurement, and educational achievement assessment. RSP provides several estimation procedures as well as global, item, and person fit indices.

RSP can analyze up to 32 test forms, linked through common items or common person ability distributions. The maximum number of items per test is 96. The maximum number of different items is 600. There is no restriction on the number of persons taking a test, but no missing data is allowed within a test form. RSP permits conditional maximum likelihood estimates CMLE of item parameters that do not depend on any assumption about the distribution of person parameters. RSP also offers marginal maximum likelihood estimation under the assumption of one or more normal ability distributions.

The RSP development team includes Cees Glas (CITO) and Jules Ellis (University of Nijmegen).

MS-DOS version: $440.00 (academic: $220.00)

iec ProGAMMA
P.O. Box 841
9700 AV Groningen
The Netherlands

Tel. 011-31-50-636900
FAX 011-31-50-636687

1994 RMT 8:1 p. 339

RSP: a program for Rasch scaling. … Rasch Measurement Transactions, 1994, 8:1 p.3339

Rasch Publications
Rasch Measurement Transactions (free, online) Rasch Measurement research papers (free, online) Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch Applying the Rasch Model 3rd. Ed., Bond & Fox Best Test Design, Wright & Stone
Rating Scale Analysis, Wright & Masters Introduction to Rasch Measurement, E. Smith & R. Smith Introduction to Many-Facet Rasch Measurement, Thomas Eckes Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr. Statistical Analyses for Language Testers, Rita Green
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar Journal of Applied Measurement Rasch models for measurement, David Andrich Constructing Measures, Mark Wilson Rasch Analysis in the Human Sciences, Boone, Stave, Yale
in Spanish: Análisis de Rasch para todos, Agustín Tristán Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez

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