The Rasch model has the great advantage for clinical practice that it allows the practitioner to examine and diagnose subject behavior patterns. Post-Traumatic Subjective Syndrome (PTSS) is a condition following from skull trauma, and can be identified through 14 symptoms. Though these symptoms are not recognized in normal medical instrumental examinations, they may nevertheless cause patients to feel unwell.
Our study consisted of 26 subjects. Following skull trauma and consequent coma (averaging 1.9 minutes), they experienced symptoms which - organic causes having been excluded - were considered due to PTSS. All patients were asked whether they had experienced one or more of the 14 PTSS symptoms. Initial Rasch analysis revealed a poor fit for one symptom "dysmnesia", so this was dropped from subsequent analysis.
The Table (in the printed text) shows the remaining 13 symptoms and the 12 possible non-extreme scores. Rasch analysis produced subject measures and item calibrations on an "intensity of PTSS symptoms" variable. Each cell contains the probability of reporting a symptom given the symptom's calibration and the measure corresponding to a subject's raw score. This table is a useful tool for clinical diagnosis of PTSS. When a patient suffering from 5 of the 13 symptoms (r=5, Br=-.6) includes "insomnia", this symptom is usual, because its probability of occurrence is high (p=.6). But the same cannot be said when a patient reports the occurrence of "phobias", because these are infrequent (p=.2) at a score of 5.
"What is the probability of clinical PTSS?" First, the fewer the symptoms, the less likely is PTSS, but now, which symptoms are reported for a given raw score is also important. The less expected a reported symptom for a score, the less likely the medical diagnosis is PTSS. Thus combining expert knowledge with Rasch statistics enables us to construct a prediction equation for clinical diagnosis of PTSS from patient measures and fit statistics.
Medical diagnosis. Cristante F, Robusto E. Rasch Measurement Transactions, 1995, 8:4 p.395
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|
|in Spanish:||Análisis de Rasch para todos, Agustín Tristán||Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez|
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