Miskey Cues

Multiple-choice tests are straightforward to answer, straightforward to optically scan, and deceptively straightforward to analyze. As an analyst, it is easy to delude oneself that all is well, when, in fact, things have gone awry.

A frequent source of self-deception is the answer key or code book. All multiple-choice answer keys tend to look the same, just a string of letters or numbers: "ACDEBCDA". A garbled or misaligned key looks just as valid as a correct key. Even a key from a different test appears as good as the genuine key. It's extremely easy to perform an entire analysis and report the results without noticing there's been a major flaw in the process.

How can we avoid this kind of embarrassing misadventure? What must we watch for? Let's compare some results using correct and incorrect keys. The figures show the variable maps for two analyses of the same data. The first analysis uses the correct key. In the second analysis, every other item has the wrong key. What has happened?

MEASURE                  PERSONS     ITEMS
 4.0                            . +
 3.0                        .#### + P Q
 2.0                 .########### + R
 1.0                .############ + S T
  .0    .######################## + U
-1.0                 .########### + V W
-2.0                  .########## + X
-3.0                        .#### + Y Z
-4.0                           ## +

Analysis with correct key. Person and items spread out. Persons and items aligned.

MEASURE                  PERSONS  +  ITEMS
 4.0                              +
 3.0                              + Y
 2.0                              +
 1.0                          .## + P Q R U W
  .0                       .##### + S T
-1.0 .########################### +
-2.0                              + V
-3.0                      .###### + X
-4.0                          .## + Z

Analysis with incorrect key. Persons and items bunched up. Persons below items.

Impact on Items:
The intended item order was "P" to "Z". With the correct key, the items are ordered in that intended descending order of difficulty. With an incorrect key, the construct validity of the items collapses. The incorrect key still has half the items keyed correctly. Even so the item hierarchy is lost in a confusing jumble. Of course, to detect this problem, the analyst must be familiar enough with the items on the test to predict their order of difficulty. Statistics alone can not reveal item-content disorder. Statistics, however, do give warning signs: observe how the items in the figure bunch up.

Impact on Persons:
With a wrong key, getting an item correct becomes random. This causes examinees to bunch up in ability. In addition, their performance is somewhat below the mean apparent item difficulty because examinee responses are unlikely to match the incorrect key even 50% of the time.

The moral: Without construct validity, you have nothing. Don't leave home without it!

Miskey cues. Garcia HI. … Rasch Measurement Transactions, 1992, 5:4 p.185




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
Rasch Books and Publications: Winsteps and Facets
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 Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes Rasch Models for Solving Measurement Problems (Facets), George Engelhard, Jr. & Jue Wang 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
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

To be emailed about new material on www.rasch.org
please enter your email address here:

I want to Subscribe: & click below
I want to Unsubscribe: & click below

Please set your SPAM filter to accept emails from Rasch.org

www.rasch.org welcomes your comments:

Your email address (if you want us to reply):

 

ForumRasch Measurement Forum to discuss any Rasch-related topic

Go to Top of Page
Go to index of all Rasch Measurement Transactions
AERA members: Join the Rasch Measurement SIG and receive the printed version of RMT
Some back issues of RMT are available as bound volumes
Subscribe to Journal of Applied Measurement

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
May 17 - June 21, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 12 - 14, 2024, Wed.-Fri. 1st Scandinavian Applied Measurement Conference, Kristianstad University, Kristianstad, Sweden http://www.hkr.se/samc2024
June 21 - July 19, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com
Aug. 5 - Aug. 6, 2024, Fri.-Fri. 2024 Inaugural Conference of the Society for the Study of Measurement (Berkeley, CA), Call for Proposals
Aug. 9 - Sept. 6, 2024, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
Oct. 4 - Nov. 8, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
Jan. 17 - Feb. 21, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
May 16 - June 20, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 20 - July 18, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Facets), www.statistics.com
Oct. 3 - Nov. 7, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com

 

The URL of this page is www.rasch.org/rmt/rmt54j.htm

Website: www.rasch.org/rmt/contents.htm