The FBL-K Psychosomatic Questionnaire

"As with all other psychological questionnaires, the FBL-K has to be homogeneous and sample-free. To prove these two fundamental demands, data from 807 persons have been subjected to Rasch analysis. The results show that the present form of the FBL-K is homogeneous and sample-free only for males. The FBL-K has to be split into two parts to get homogeneous and sample-free scales for the female population." So states the English abstract of this German paper. (Ewald Piel et al., Diagnostica, 1991, 37/3, 226-235).

The FBL-K has 20 items. Initial responses are on a five-category rating scale, rescored dichotomously for this analysis. Item calibrations and person measures are estimated using an algorithm of Fischer & Formann. The bulk of the paper is a presentation and discussion of fit statistics. Global data-to-model fit for females was deemed unsatisfactory. Statistical investigation, however, produced one scale of 15 items and another of 4 items with satisfactory fit for females. Though item calibrations are reported for 20 items, no details of item content are provided. The median raw score on the instrument for the reported sample of young adults was 7 out of 20. Two plots show the ogival raw score to measure conversion and the yet more non-linear percentile to measure conversion.



The FBL-K Psychosomatic Questionnaire, E Piel, … Rasch Measurement Transactions, 1992, 6:2 p. 221


Please help with Standard Dataset 4: Andrich Rating Scale Model



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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
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