ESTMULT= estimate change multiplier

During the JMLE estimation procedure, the measure estimates are improved each traversal of the data. The changes to the item and person estimates are computed by comparing the observed scores against the expected scores based on the current estimates. The changes are computed by curve-fitting. This process is not exact, so the changes are reduced by a factor of 0.7, the default value of ESTMULT=. This is to prevent changes becoming too big. But, if convergence (agreement between observed and expected scores) is happening too slowly, then higher values of ESTMULT= may be helpful.

 

During JMLE iterations, ESTMULT= can be changed using the Diagnosis Menu.

 

ESTMULT  = 0.7

the default estimation-change multiplier

ESTMULT = 0.1 - 0.6

changes to estimates are smaller. More iterations to convergence

ESTMULT = 0.8 - 1.0

changes to estimates are bigger. Perhaps fewer iterations to convergence.

ESTMULT = 1.1 - 2.0

changes to estimates are so big that estimates may overshoot so that estimates become worse and convergence is never reached. Change ESTMULT= when near to convergence

 

Example with large dataset:

 

In the Estimation window on change:

>=== ESTMULT = .778

=====================================================<

ESTMULT= value

 JMLE     MAX SCORE   MAX LOGIT

ITERATION   RESIDUAL*     CHANGE

Comment

ESTMULT= 0.7

(default)

7     -2507.00       .0008

8     -2488.50       .0007

9     -2450.00       .0007

10     -2419.00       .0007

11     -2386.00       .0007

Slow, but safe

ESTMULT= 1.064

31     -1757.50       .0008

32     -1563.50       .0008

33     -1704.00       .0007

34     -1474.00       .0007

35     -1657.50       .0007

36     -1384.00       .0007

Faster, but unstable

ESTMULT= 0.960

47     -1214.00       .0005

48     -1192.50       .0005

49     -1167.00       .0005

50     -1146.50       .0005

51     -1123.00       .0004

52     -1102.50       .0004

Slow, safe

(but see below)

ESTMULT= 1.185

83      -773.00       .0004

84      -250.00       .0004

85      -927.00       .0004

86        21.00       .0005

87     -1232.00       .0006

88       490.00       .0007

89     -1809.00       .0009

90      1326.50       .0011

91     -2884.50       .0014

.....

104   119828.00       .0584

Very fast, but diverges

change ESTMULT= here

ESTMULT= .960

106   159415.00       .0718

107  -144812.50      -.0567

108   129760.50       .0513

109  -117978.50      -.0460

110   105562.00       .0418

111   -96084.50      -.0374

112    85834.50       .0340

Fast, unstable, converges


Help for Winsteps Rasch Measurement and Rasch Analysis Software: www.winsteps.com. Author: John Michael Linacre

Facets Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation Minifac download
Winsteps Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation Ministep download

Rasch Books and Publications: Winsteps and Facets
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 Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes Rasch Models for Solving Measurement Problems (Facets), George Engelhard, Jr. & Jue Wang 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
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind Rasch Measurement: Applications, Khine Winsteps Tutorials - free
Facets Tutorials - free
Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan
Other Rasch-Related Resources: Rasch Measurement YouTube Channel
Rasch Measurement Transactions & Rasch Measurement research papers - free An Introduction to the Rasch Model with Examples in R (eRm, etc.), Debelak, Strobl, Zeigenfuse Rasch Measurement Theory Analysis in R, Wind, Hua Applying the Rasch Model in Social Sciences Using R, Lamprianou El modelo métrico de Rasch: Fundamentación, implementación e interpretación de la medida en ciencias sociales (Spanish Edition), Manuel González-Montesinos M.
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
As an Amazon Associate I earn from qualifying purchases. This does not change what you pay.

facebook Forum: Rasch Measurement Forum to discuss any Rasch-related topic

To receive News Emails about Winsteps and Facets by subscribing to the Winsteps.com email list,
enter your email address here:

I want to Subscribe: & click below
I want to Unsubscribe: & click below

Please set your SPAM filter to accept emails from Winsteps.com
The Winsteps.com email list is only used to email information about Winsteps, Facets and associated Rasch Measurement activities. Your email address is not shared with third-parties. Every email sent from the list includes the option to unsubscribe.

Questions, Suggestions? Want to update Winsteps or Facets? Please email Mike Linacre, author of Winsteps mike@winsteps.com


State-of-the-art : single-user and site licenses : free student/evaluation versions : download immediately : instructional PDFs : user forum : assistance by email : bugs fixed fast : free update eligibility : backwards compatible : money back if not satisfied
 
Rasch, Winsteps, Facets online Tutorials


 

 
Coming Rasch-related Events
May 17 - June 21, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 12 - 14, 2024, Wed.-Fri. 1st Scandinavian Applied Measurement Conference, Kristianstad University, Kristianstad, Sweden http://www.hkr.se/samc2024
June 21 - July 19, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com
Aug. 5 - Aug. 7, 2024, Mon.-Wed. 2024 Inaugural Conference of the Society for the Study of Measurement (Berkeley, CA), Call for Proposals
Aug. 9 - Sept. 6, 2024, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
Oct. 4 - Nov. 8, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
Jan. 17 - Feb. 21, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
May 16 - June 20, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 20 - July 18, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Facets), www.statistics.com
Oct. 3 - Nov. 7, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com

 

 

Our current URL is www.winsteps.com

Winsteps® is a registered trademark