"When the Rasch model is intended to hold because of its special
measurement properties, failure of the data to conform to the model
implies further work on the substantive problem of scale
construction, not on the identification of a more complex model
that might account for the data."
David Andrich in Rasch Models for Measurement. 1988. p.86. Newbury Park, CA: Sage.
Excerpt from a brochure for Microscale (1984-1986, authors Benjamin D. Wright and John M. Linacre), the first Rasch program that handled missing data. It was PC-based and integrated with either the SuperCalc spreadsheet or the SYSTAT statistical package.
What does a score mean?
How can we turn performance ratings, test results, questionnaires or counts of behavioral activities into measurements with the same meaning as meters or grams have for physical attributes?
This is a major problem which faces many educators, social scientists, pollsters, human resource managers, market research specialists and others attempting to examine attributes which can only be measured indirectly by observing an interaction in some natural or artificial situation.
For instance, the measurement of math competency in a student cannot be done directly, but is generally done by creating the artificial situation of a math test, and observing the interactions between the student and the math questions. The examiner then wants to turn the resulting record of correct and incorrect responses into a measure of the student's competency.
Microscale constructs such measures. These measures have the same characteristics of fundamental measurement that meters and grams have. So that when observations are of a one-dimensional abstraction, such as an individual's competency, attitude or purchasing behavior, using Microscale -
* they can be represented by linear magnitudes
* more or less comparisons can be made directly
* the measuring process is independent of which particular agents and objects take part
* agents and objects can be represented on the same scale
* a unit of measurement anywhere on the scale represents the same amount of change
Quotations Rasch Measurement Transactions, 1989, 3:1 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.
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|Aug. 13 - Sept. 10, 2021, Fri.-Fri.||On-line workshop: Many-Facet Rasch Measurement (E. Smith,Facets), www.statistics.com|
|June 24 - July 22, 2022, Fri.-Fri.|
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