MOMS Program, June 1995

MID-WEST OBJECTIVE
MEASUREMENT SEMINAR
Friday, June 2, 1995

Using Geometry to Understand Complex Data
Mark Moulton, MESA, University of Chicago

Logit-linear vs. Log-linear Rasch Measurement
Michael Linacre, MESA, University of Chicago

Stability of Items: CAT vs. Paper-and-Pencil
Tom O'Neill & Mary Lunz, ASCP, Chicago

Reducing Measurement Error for Performances
Mary Lunz, ASCP, Chicago

Mapping: Key to solving Measurement Problems
Mark Stone, Adler School, Chicago

Measurement Properties of NIH Stroke Scale
Allen Heinemann, Rehabilitation Inst of Chicago

Effect of Misfit on "Real" Standard Errors
Richard M. Smith, Rehabilitation Foundation, Wheaton

Detecting Bias with Facets
Yi Du, Illinois Board of Education, Springfield

Consistency of Objective Standards
Greg Stone, National Certification Corp., Chicago

Beck Depression Inventory and Low Back Pain
Trudy Mallinson & Craig Velozo, Dept of Occupational Therapy, Univ Ill Chicago

Psychiatric Diagnoses and PMDD
Sarah Gehlert, SSA, University of Chicago; Chih-Hung Chang, Rush-Presbyterian-St Lukes; Medical Center, Chicago

Measuring Classroom Formality and Informality
Gad Yair, Hebrew University, Jerusalem

Communicating Results
Donna Tatum, MESA, University of Chicago

Measuring Basketball Team Proficiency
Patrick Fisher, Post-Modern Measurement

Think before you misfit!
Huixing Tang

The fatal tendency of mankind, to leave off thinking about a thing when it is no longer doubtful, is the cause of half their errors.
John Stuart Mill

"The ability to measure has been essential in the discovery of scientific knowledge. In short we can say: measurement helps science. We can also say the opposite with equal truth: science helps measurement. Scientific knowledge of the properties of materials and the way things behave helps us to design and make better measuring instruments."
Owen Bishop (1982) Yardsticks of the Universe. New York: Peter Bedrick Books. p.120.

"Now this is the peculiarity of scientific method, that when once it has become a habit of mind, that mind converts all facts whatsoever into science. The field of science is unlimited; its material is endless, every group of natural phenomena, every phase of social life, every stage of past or present development is material for science. The unit of all science consists alone in its method, not in its material. The man who classifies facts of any kind whatever, who sees their mutual relations and describes their consequences, is applying the scientific method and is a man of science. The facts may belong to the past history of mankind, to the social statistics of our great cities, to the atmosphere of the most distant stars, to the digestive organs of a worm, or to the life of a scarcely visible bacillus. It is not the facts themselves which form science, but the methods by which they are dealt with."
Karl Pearson in The Grammar of Science (1892)

"We must be careful not to confuse data with the abstractions we use to analyze them."
William James

"Rasch must be credited with an outstanding contribution to one of the two central psychometric problems, the achievement of nonarbitrary measures."
Jane Loevinger (1965) Person and population as psychometric concepts. Psychological Review 72(2) 143-155.

MOMS Program and Quotes. … Rasch Measurement Transactions, 1995, 9:1 p.413

Rasch Books and Publications
Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, 2nd Edn. George Engelhard, Jr. & Jue Wang	Applying the Rasch Model (Winsteps, Facets) 4th Ed., Bond, Yan, Heene	Advances in Rasch Analyses in the Human Sciences (Winsteps, Facets) 1st Ed., Boone, Staver	Advances in Applications of Rasch Measurement in Science Education, X. Liu & W. J. Boone	Rasch Analysis in the Human Sciences (Winsteps) Boone, Staver, Yale
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes	Statistical Analyses for Language Testers (Facets), Rita Green	Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments (Facets), George Engelhard, Jr. & Stefanie Wind	Aplicação do Modelo de Rasch (Português), de Bond, Trevor G., Fox, Christine M	Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind	Rasch Measurement: Applications, Khine	Winsteps Tutorials - free Facets Tutorials - free	Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre	Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan
Other Rasch-Related Resources: Rasch Measurement YouTube Channel
Rasch Measurement Transactions & Rasch Measurement research papers - free	An Introduction to the Rasch Model with Examples in R (eRm, etc.), Debelak, Strobl, Zeigenfuse	Rasch Measurement Theory Analysis in R, Wind, Hua	Applying the Rasch Model in Social Sciences Using R, Lamprianou	El modelo métrico de Rasch: Fundamentación, implementación e interpretación de la medida en ciencias sociales (Spanish Edition), Manuel González-Montesinos M.
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar	Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch	Rasch Models for Measurement, David Andrich	Constructing Measures, Mark Wilson	Best Test Design - free, Wright & Stone Rating Scale Analysis - free, Wright & Masters
Virtual Standard Setting: Setting Cut Scores, Charalambos Kollias	Diseño de Mejores Pruebas - free, Spanish Best Test Design	A Course in Rasch Measurement Theory, Andrich, Marais	Rasch Models in Health, Christensen, Kreiner, Mesba	Multivariate and Mixture Distribution Rasch Models, von Davier, Carstensen

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