RMT 19:4 Notes and Quotes

MOMS

Midwest Objective Measurement Seminar
Chicago Circle Center (CCC), UIC
750 South Halsted Street, Room 605

Friday, April 28, 2006, 9:00 - 4:45

Measurement of Participation. Allen Heinemann, Rehabilitation Institute of Chicago

Equating Versions of the FIM. Anne Deutsch,, Rehabilitation Institute of Chicago

Special Presentation: David Andrich, Murdoch University, Australia

A Domain Level Model. Matthew Schultz, ACT

Hierarchical Rater Modeling. Timothy Muckle, Promissor

A Comparison of Pre-Equating with Post-Administration One-Step Equating For Initial Computerized Testing. Linjun Shen,, NBOME

Using Person Fit Statistics to Screen for Atypical Persons At-risk for Suicide. Kendon J. Conrad, Nikolaus Bezruczko, HyeJung Park, Michael Dennis, UIC

The New Lexile Framework for Writing. Jackson Stenner, MetaMetrics

Stability of Item Calibrations. Ross Brown, Measurement Research Associates, Inc.

Complex Adaptive Functionality via Measurement William P. Fisher, Jr., Avatar International

The Second Pacific Rim Objective Measurement Symposium

PROMS HK 2006

The Hong Kong Institute of Education. Tai Po, HONG KONG

Tuesday 27th - Thursday 29th June, 2006

With 60 paper proposals accepted and invited keynote presentations, the program will be both varied and interesting. Rasch measurement workshops (including Facets And Winsteps workshops) will precede the conference (Sunday 25, Monday 26).

The theme of the conference is

"Rasch Measurement: A Tool for Scientific Progress for the Asia Pacific"

It will focus on recent advances in objective measurement as a tool for scientific progress in education, health and the social sciences. It will provide an international forum for discourse on the latest research in using Rasch measurement as well as opportunities to learn more about Rasch measurement.

The program will include a Teachers' Day (Thursday 29th June) and pre-conference workshops (Sunday 25th - Monday 26th June). For details about registration and accommodation, please visit our website:

www.promshk.org

We look forward to welcoming you in this important and exciting event! We would be delighted if you could forward this invitation to your colleagues.

Optometry and Vision Science

is soliciting papers for a Feature Issue

Vision-related Quality of Life

Deadline for submission October 1, 2006.

A feature issue provides the opportunity for your work to be published alongside similar subject matter. Past feature issues of OVS have included a number of important and highly-cited papers. For example, the 20 or so papers published in the 1999 feature issues on myopia have been cited well over 300 times.

Patient-centered assessments of vision have become standard supplements to vision tests in clinical trials, with these instruments gaining importance as main outcome measures. With a developing research focus, these instruments are evolving from relatively simple measures to increasingly discriminatory, reliable and valid ones. It is intended for the feature issue to include a broad spectrum of topics associated with vision-related quality of life, including:

• the development and validation of questionnaires that quantify vision-related quality of life, visual disability and/or visual symptoms
• studies which demonstrate benefits of contemporary methodologies for questionnaire design and development e.g. Rasch analysis, item banking, computer adaptive testing
• a comparison or assessment of questionnaires that quantify vision-related quality of life, visual disability and/or visual symptoms
• the relationship between questionnaire scores and clinical vision tests or task performance
• the use of quality of life measures as outcome measures in clinical research and clinical trials
• the use of quality of life measures as clinical tools for the practitioner.

Manuscripts must be submitted online and should be prepared according to the instructions to authors at this web site. Indicate that your paper is being submitted for this feature issue.

Manuscripts will be subjected to peer review under the editorial leadership of David Elliott, with Trudy Mallinson, and Konrad Pesudovs serving as Co-Editors.

Journal of Applied Measurement. Volume 7, Number 1. Spring 2006

Expansion of a Physical Function Item Bank and Development of an Abbreviated Form for Clinical Research. Rita K. Bode, Jin-shei Lai, Kelly Dineen, Allen W. Heinemann, Danial Shevrin, Jamie Von Roenn, and David Cella. pp. 1-15

Using Rasch Analysis to Test the Cross-Cultural Item Equivalence of the Harvard Trauma Questionnaire and the Hopkins Symptom Checklist Across Vietnamese and Cambodian Immigrant Mothers. Yoonsun Choi, Amy Mericle, and Tracy W. Harachi. pp. 16-38

Using Rasch Measurement to Investigate Volleyball Skills and Inform Coaching. Ryan P. Bowles and Nilam Ram. pp. 39-54

The Assessment of Diabetes Knowledge and Self-Efficacy in a Diverse Population using Rasch Measurement. Ben S. Gerber, Maria Pagcatipunan, Everett V. Smith, Jr., Semonti S. Basu, Kimberly A Lawless, Louanne I. Smolin, Michael L. Berbaum, Irwin G. Brodsky, and Arnold R. Eiser. pp. 55-73

Using LinLog and FACETS to Model Item Components in the LLTM. Tracy L. Kline, Karen M. Schmidt, and Ryan Bowles. pp.74-91

Development of a Comprehensiveness of Rasch Measurement Application Scale. Iasonas Lamprianou. pp 92-116.

Issues in Multi-Item Scale Testing and Development using Structural Equation Models. Shaun McQuitty and James W. Bishop. pp. 117-128

Understanding Rasch Measurement: Rasch Analysis of Rank-Ordered Data. John M. Linacre. pp. 129-139

Memorial - The Measure of a Man: Nam Raju. Rita K. Bode. pp. 140

Richard M. Smith, Editor

JAM web site: www.jampress.org
JAM library recommendation form

Journal of Applied Measurement. Volume 7, Number 2. Summer 2006

Rasch Analysis of a New Construct: Functional Caregiving for Adult Children with Intellectual Disabilities. Shu-Pi C. Chen, Nikolaus Bezruczko, and Sheila Ryan-Henery

Whose Criterion Standard Is It Anyway? Gregory E. Stone

Adjusted Rasch Person Fit Statistics. Dimiter M. Dimitrov and Richard M. Smith

From Rasch Scores to Regression. Karl Bang Christensen, 184-191

The Stability of Marker Characteristics Across Tests of the Same Subject and Across Students. Iasonas Lamprianou

Development of a Money Mismanagement Measure and Cross-Validation Due to Suspected Range Restriction. Kendon J. Conrad, Michael D. Matters, Daniel J. Luchins, Patricia Hanrahan, Danielle L. Quasius, and George Lutz

Understanding Rasch Measurement: The Mixed Rasch Model: An Example for Analyzing the meaning of Response Latencies in a Personality Questionnaire. Michaela M. Wagner-Menghin

Richard M. Smith, Editor

JAM web site: www.jampress.org
JAM library recommendation form

Introduction to Rasch Measurement and Traditional Classical Test Theory (CTT)

RASCH 2006

Announcing an External Study/Online Unit

24 July - 30 October 2006

Unit Coordinators:

Professor David Andrich and Dr. Ida Marais

The Unit of Study - Background

In the Australian Semester 2, 2006 (July 24 to October 30), a graduate unit of study introducing Rasch measurement and Rasch analysis is available in the external study mode. This mode of study means that the unit can be studied from anywhere in the world. A discussion group will operate for online interaction as part of the unit of study.

Students enrolled obtain (i) a set of lecture materials, which includes hard copy of all of the lectures, (ii) details of the assignments you will be required to submit, (iii) the necessary reading materials, and (iv) the Study Guide setting out the steps you will need to follow to successfully complete the unit.

Features of the Unit

• It begins from first principles,
  
• exercises at the end of each lecture consolidate the ideas,
  
• it introduces the Guttman structure as a lead into both traditional test theory and Rasch measurement,
• it reviews elementary traditional test theory in a way that it relates to the Rasch models,
• it reviews the necessary elementary statistics,
• it studies the dichotomous model and the model for ordered response categories,
• it studies model fit, including differential item functioning
• it involves discussion group which permits you to interact with other students in the class and
• it provides a full version of the interactive, Windows program RUMM for analyzing data. (The use of the program is available throughout the unit)

The RUMM program is a very easy to use interactive program that permits learning many features of the Rasch measurement model by working around the program's menus - for example the effects of rescoring any item, deleting items, studying alternatives in distractors, assessing differential item functioning, automatic linking of different sets of items, effects of deleting samples or individuals, taking account of missing data, and so on. To enhance understanding all of the information is available both graphically and statistically, including item characteristic curves, person item maps, etc.

www.education.murdoch.edu.au/clcd/docs/rasch06.html

Election of Rasch SIG Officers

Rasch Measurement SIG officers elected to hold office from April 2006 to April 2008 are:

Chair: Thomas O'Neil

Secretary: Ed Wolfe

Ballots mailed electronically to active members: 170

Ballots returned: 32. Ballots spoiled: 0

(Signed) Steven Stemler, Rasch SIG Election Officer, February 23, 2006

As of 3-25-2006, the SIG has 186 members.

Ben Wright at 80

Benjamin D. Wright celebrated his 80th birthday on March 30, 2006. At that time, he had recently fallen and sustained a hip injury. He is recovering in the Warren N. Barr Pavilion of the Illinois Masonic Medical Center. He welcomes visitors and telephone calls.

Long on the wall of Ben's office in Judd Hall, University of Chicago

In 1962, Georg Rasch remarked during his Inauguration Lecture as Professor in Theoretical Statistics at the University of Copenhagen that he would rather have had a chair in Heretical Statistics.
Courtesy of Helmuth Nyborg

RMT 19:4Notes & Quotes … Rasch Measurement Transactions, 2006, 19:3 p. 1033-44

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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