Classical Test Theory versus Rasch analysis for quality of life questionnaire reduction.
BACKGROUND
Although health-related quality of life (HRQOL) instruments may offer satisfactory results, their length often limits the extent to which they are actually applied in clinical practice. Efforts to develop short questionnaires have largely focused on reducing existing instruments. The approaches most frequently employed for this purpose rely on statistical procedures that are considered exponents of Classical Test Theory (CTT). Despite the popularity of CTT, two major conceptual limitations have been pointed out: the lack of an explicit ordered continuum of items that represent a unidimensional construct, and the lack of additivity of rating scale data. In contrast to the CTT approach, the Rasch model provides an alternative scaling methodology that enables the examination of the hierarchical structure, unidimensionality and additivity of HRQOL measures.


METHODS
In order to empirically compare CTT and Rasch Analysis (RA) results, this paper presents the parallel reduction of a 38-item questionnaire, the Nottingham Health Profile (NHP), through the analysis of the responses of a sample of 9,419 individuals.


RESULTS
CTT resulted in 20 items (4 dimensions) whereas RA in 22 items (2 dimensions). Both instruments showed similar characteristics under CTT requirements: item-total correlation ranged 0.45-0.75 for NHP20 and 0.46-0.68 for NHP22, while reliability ranged 0.82-0.93 and 0.87-94 respectively.


CONCLUSIONS
Despite the differences in content, NHP20 and NHP22 convergent scores also showed high degrees of association (0.78-0.95). Although the unidimensional view of health of the NHP20 and NHP22 composite scores was also confirmed by RA, NHP20 dimensions failed to meet the goodness-of fit criteria established by the Rasch model, precluding the interval-level of measurement of its scores.
Prieto
Luis
L
Health Outcomes Research Unit, Eli Lilly and Company, Madrid, Spain. prieto_luis@lilly.com
Alonso
Jordi
J
Lamarca
Rosa
R
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001294:Attitude to Health; D002648:Child; D003627:Data Interpretation, Statistical; D005060:Europe; D005260:Female; D006304:Health Status; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D008875:Middle Aged; D011594:Psychometrics; D011788:Quality of Life / Q000523:psychology; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires / Q000592:standards; D055815:Young Adult