Which Way is Up? Correctly keying the MMPI-2

A pitfall of empirically-based data analysis, into which the unwary easily stumble, is uncovered by even a cursory Rasch analysis of the Minnesota Multiphasic Personality Inventory-2 (Butcher et al. 1989).

Consider the "depression" scale of 57 true/false items. 20 items, like "I cry easily", are keyed "true". 37 items, like "I am happy most of the time" are keyed "false". The count of those responses by the subject that agree with the key is intended to indicate the severity of the subject's depression.

How were these items chosen? The selection criterion for each item was that it differentiated some sample of "normal" subjects from some other sample of patients exhibiting symptoms of depression. But this empirical method is precarious - accidental differences between samples will be mistaken for indicators of depression. "I sometimes keep on at a thing until others lose their patience with me" falls into this category because it emphasizes the mental state not of the subject, but of those with whom the subject comes into contact.

How are the items used to identify depression? The empirical assignment is built on the rule that the key is the direction (true or false) that the "depressed" patient sample endorsed more frequently. Here is the pitfall. Imagine an item to which none of the normal sample responded "true", but 49% of the "depressed" sample did respond "true". This item would differentiate the samples well, but it would be incorrectly keyed! Since 51% of the "depressed" sample responded "false", the key value would be "false", and consequently the normal sample would be reported as more depressed than the "depressed" sample! Of course, if we let ourselves be controlled by data, rather than by theory, ("What does it mean to be depressed?"), there are all manner of other ways to stumble into this pitfall.

In the MMPI-2 depression scale, the pitfall is encountered 8 times. Take an item such as "I sweat very easily even on cool days." Common experience indicates that "normal" people respond "false" to this. But in the MMPI-2 this is keyed "false" to indicate depression. This item can act as an indicator of depression, but it must be rekeyed "true" in order to add up with the other items into a score whose greater value indicates a more depressed state.

Empirically-based methods may provide some exploratory guidance when we are truly at a loss as to what to do. But theory-mandated choices must supersede accidental data patterns for meaning and knowledge to result.

Chih-Hung Chang
Department of Psychology
University of Chicago

[After this Research Note was published, a member of the MMPI-2 development team remarked that this flaw in MMPI-2 was discovered early on, but ignored, because of the team's commitment to the "majority depressed" scoring rule.]


Which way is up? Correctly keying the MMPI-2. Chang C.-H. … Rasch Measurement Transactions, 1994, 8:1 p.339



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

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

Rasch Measurement Transactions welcomes your comments:

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

If Rasch.org does not reply, please post your message on the Rasch Forum
 

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
Apr. 21 - 22, 2025, Mon.-Tue. International Objective Measurement Workshop (IOMW) - Boulder, CO, www.iomw.net
Jan. 17 - Feb. 21, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
Feb. - June, 2025 On-line course: Introduction to Classical Test and Rasch Measurement Theories (D. Andrich, I. Marais, RUMM2030), University of Western Australia
Feb. - June, 2025 On-line course: Advanced Course in Rasch Measurement Theory (D. Andrich, I. Marais, RUMM2030), University of Western Australia
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/rmt81f.htm

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