June 7, 1996, was Residents' Research Day in the LSU Department of Medicine's Section of Physical Medicine & Rehabilitation. Three presentations featured Rasch measurement. The one by Yadav, et al. was selected best of the day. The presentations were:
Growth Factors vs. Conventional Therapy in the Treatment of Chronic Lower Extremity Diabetic Ulcers, by Rajesh Yadav, Jeffery Filiberto, Furqan Siddiqui, Joseph J. Biundo, Jr., Robert C. Mipro, Jr., and William P. Fisher, Jr.
This study compared the efficacy of topical growth factor versus conventional therapy in chronic nonhealing diabetic foot ulcers. Fifteen subjects were randomly assigned to growth factor or conventional treatment and followed for up to 35 weeks. The growth factor reduced wound size by an average of 71%, the conventional treatment by 46%. Physical and psychosocial health status were measured by the SF-20 and the data were fitted to a Rasch partial credit model. Persons treated with growth factor experienced improved health status. Those treated conventionally worsened.
Measuring Functional Status in Rehabilitation: Comparing FIM Item Calibrations from the Louisiana Rehabilitation Institute (LRI) and the Uniform Data System (UDS), by Maryam Qayum, Karen Ortenberg, Rolf Morstead, Furqan Siddiqui, Robert Mipro, Jr., and William P. Fisher, Jr.
This study showed that a sample of 70 rehabilitation patients measured with the Functional Independence Measure (FIM-SM) at a non- UDS facility produced FIM item calibrations statistically identical with those produced by a 15,000-patient UDS database.
Measuring Functional Status in Rehabilitation: Comparing FIM Patient Measures from the Louisiana Rehabilitation Institute (LRI) and the Uniform Data System (UDS), by Paul Mayes, Alejandro Perez, Robert C. Mipro, Jr., and William P. Fisher, Jr., PhD.
This study documented that the nonlinear score/measure relationships found to hold in data on 15,000 UDS patients is replicated in data on 70 patients from a non-UDS rehabilitation facility. The consistency of this relationship and of the FIM item order on the motor and cognitive variables, as shown in the Qayum, et al. presentation, justifies LRI use of the KeyFIM data collection worksheet.
Practical medical tool. Fisher WP Jr. Rasch Measurement Transactions, 1996, 10:1 p.480
Please help with Standard Dataset 4: Andrich Rating Scale Model
|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|
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|July 31 - Aug. 3, 2017, Mon.-Thurs.||Joint IMEKO TC1-TC7-TC13 Symposium 2017: Measurement Science challenges in Natural and Social Sciences, Rio de Janeiro, Brazil, imeko-tc7-rio.org.br|
|Aug. 7-9, 2017, Mon-Wed.||In-person workshop and research coloquium: Effect size of family and school indexes in writing competence using TERCE data (C. Pardo, A. Atorressi, Winsteps), Bariloche Argentina. Carlos Pardo, Universidad Catòlica de Colombia|
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