Question: What assumptions are made about distributions by the Rasch model?
Answer: The Rasch model makes no assumptions about the distributions of the parameters. Maximum Likelihood Estimation (MLE) assumes that the randomness in the data is normally distributed. Some estimation methods, such as Marginal Maximum Likelihood (MMLE), assume that the incidental parameters (usually persons) conform to a well-behaved distribution (usually normal).
In the realm of scientific creativity ...
"Quality is a probabilistic function of quantity."
Simonton, D. (2003), Scientific Creativity as Constrained Stochastic Behavior: The Integration of Product, Person and Process Perspectives. Psychological Bulletin, 129(4), 475-494.
ACER ConQuest 3.0 is software for fitting unidimensional and multidimensional item response and latent regression models. It provides data analysis based on item response models (IRM), allowing examination of the properties of performance assessments, traditional assessments and rating scales. ConQuest 3.0 offers analysis procedures based on multifaceted item response models, multidimensional item response models, latent regression models and drawing plausible values.
New Features include:
Ray Adams, Margaret Wu and Mark Wilson
The 2nd Annual Ohio River Valley Objective Measurement Seminar (ORVOMS) was held on May 18th, 2012 at the University of Kentucky. It was hosted by Dr. Kelly Bradley of the Department of Educational Policy Studies & Evaluation and co-sponsored by Dr. Arne Bathke of the Applied Statistics Laboratory. The keynote speaker was Dr. Richard Smith from Data Recognition Corporation. In addition to the regional attendees some participants traveled from as far away as Florida, Michigan, and Minnesota.
We thank everyone who participated and presented this year - it was an interesting and collegial meeting. We look forward to next year's seminar and hope that you will be able to participate. For information about upcoming events or to be placed on our mailing list please contact:
Psychometric Research Associate
The American Board of Family Medicine
mlybarger ~ theabfm.org
UK Rasch User Group, /www.rasch.org.uk
Richard M. Smith, Editor, www.jampress.org
Notes and Quotes, Rasch Measurement Transactions, 2012, 26:1, passim
|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|
|Forum||Rasch Measurement Forum to discuss any Rasch-related topic|
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Go to Institute for Objective Measurement Home Page. The Rasch Measurement SIG (AERA) thanks the Institute for Objective Measurement for inviting the publication of Rasch Measurement Transactions on the Institute's website, www.rasch.org.
|Coming Rasch-related Events|
|June 23 - July 21, 2023, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com|
|Aug. 11 - Sept. 8, 2023, Fri.-Fri.||On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com|
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