MJMLE= or MUCON= maximum number of JMLE iterations = 0, no limit
JMLE iterations may take a long time for big data sets, so initially set this to -1 for no JMLE iterations. Then set MJMLE= to 10 or 15 until you know that more precise measures will be useful. The number of PROX iterations, MPROX=, affects the number of JMLE iterations but does not affect the final estimates.
MJMLE= (or MUCON=) specifies the maximum number of JMLE iterations to be performed. Iteration will always cease when both LCONV= and RCONV= criteria have been met, see CONVERGE=. To specify no maximum number limitation, set MJMLE=0. Iteration always be stopped by Ctrl with F, see "Stopping Winsteps".
Example 1: To allow up to 4 iterations in order to obtain rough estimates of a complex rating (or partial credit) scale:
MJMLE=4 ; 4 JMLE iterations maximum
Example 2: To allow up to as many iterations as needed to meet the other convergence criteria:
MJMLE=0 ; Unlimited JMLE iterations
Example 3: Perform no JMLE iterations, since the PROX estimates are good enough.
MJMLE=-1 ; No JMLE iteration
Example 4: Run as quick estimation as possible to check out control options.
MPROX=-1 ; minimal PROX estimation iterations
MJMLE=-1 ; no JMLE iterations
Example 5: To perform an exact number of JMLE iterations.
a) set the convergence criteria very tight, so that they are never satisfied:
b) set the maximum number of JMLE iterations equal to the desired number:
MJMLE = 99 (or whatever)
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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|
|in Spanish:||Análisis de Rasch para todos, Agustín Tristán||Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez|
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|Sept. 27-29, 2017, Wed.-Fri.||In-person workshop: Introductory Rasch Analysis using RUMM2030, Leeds, UK (M. Horton), Announcement|
|Oct. 13 - Nov. 10, 2017, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com|
|Oct. 25-27, 2017, Wed.-Fri.||In-person workshop: Applying the Rasch Model hands-on introductory workshop, Melbourne, Australia (T. Bond, B&FSteps), Announcement|
|Dec. 6-8, 2017, Wed.-Fri.||In-person workshop: Introductory Rasch Analysis using RUMM2030, Leeds, UK (M. Horton), Announcement|
|Jan. 5 - Feb. 2, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com|
|Jan. 10-16, 2018, Wed.-Tues.||In-person workshop: Advanced Course in Rasch Measurement Theory and the application of RUMM2030, Perth, Australia (D. Andrich), Announcement|
|Jan. 17-19, 2018, Wed.-Fri.||Rasch Conference: Seventh International Conference on Probabilistic Models for Measurement, Matilda Bay Club, Perth, Australia, Website|
|April 13-17, 2018, Fri.-Tues.||AERA, New York, NY, www.aera.net|
|May 25 - June 22, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com|
|June 29 - July 27, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com|
|Aug. 10 - Sept. 7, 2018, Fri.-Fri.||On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com|
|Oct. 12 - Nov. 9, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com|
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