LCONV= logit change at convergence = .005

Measures are only reported to 2 decimal places, so a change of less than .005 logits will probably make no visible difference.  The minimum possible value is LCONV=0.0001

 

Specifies what value the largest change in any logit estimate for a person measure or item calibration or rating (or partial credit) scale structure calibration must be less than, in the iteration just completed, for iteration to cease. The current largest value is listed in Table 0 and displayed on your screen. See convergence considerations.

 

The standard setting is CONVERGE="E", so that iteration stops when either LCONV= or RCONV= is satisfied. (Note: this depends on Winsteps version - and may explain differences in converged values.)

 

Example 1: To set the maximum change at convergence to be less or equal to .001 logits:

LCONV=.001

RCONV=0 ; set to zero, so does not affect convergence decision

CONVERGE=Logit

 

Example 2: To set the maximum change at convergence to less or equal to .1 user-scale USCALE= units:

USCALE = 50

; 50 user-scaled units per logit

LCONV = .002

; logit value = .002*50 = 0.1 user-scaled units

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Rasch Books and Publications
Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, 2nd Edn, 2024 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
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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
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