Table 20.3 Complete score-to-calibration table for tests based on whole sample

Table 20.1 Complete score-to-measure table on test of all items  

Table 20.2 Person score and measure distribution

Table 20.3 Complete score-to-calibration table for tests based on whole sample

 

This Table, which must be selected explicitly with TFILE=, or as a subtable with "Request Subtable" on the "Output Tables" menu, shows an estimated item calibration for all possible rates of success by persons, i.e., the item measure corresponding to every observable proportion-correct-value or item marginal raw score for the entire sample.

 

Output Tables

Request Subtables

20.3

OK

 

or enter into your control file:

TFILE=*

20.3

*

 

TABLE OF ITEM MEASURES ON COMPLETE NON-EXTREME SAMPLE FOR TAP LIKE 4  1-3-4

----------------------------------------------------------------------------

| SCORE  MEASURE    S.E. | SCORE  MEASURE    S.E. | SCORE  MEASURE    S.E. |

|------------------------+------------------------+------------------------|

|     0     6.17E   1.87 |    12      .81     .45 |    24    -1.58     .48 |

|     1     4.84    1.08 |    13      .61     .44 |    25    -1.82     .50 |

|     2     3.98     .82 |    14      .41     .44 |    26    -2.08     .52 |

|     3     3.40     .70 |    15      .22     .44 |    27    -2.36     .54 |

|     4     2.96     .64 |    16      .03     .43 |    28    -2.67     .57 |

|     5     2.58     .59 |    17     -.16     .43 |    29    -3.01     .60 |

|     6     2.26     .55 |    18     -.34     .43 |    30    -3.40     .64 |

|     7     1.97     .53 |    19     -.53     .44 |    31    -3.85     .71 |

|     8     1.71     .50 |    20     -.73     .44 |    32    -4.43     .82 |

|     9     1.46     .49 |    21     -.93     .45 |    33    -5.29    1.08 |

|    10     1.23     .47 |    22    -1.14     .46 |    34    -6.61E   1.87 |

|    11     1.01     .46 |    23    -1.35     .47 |                        |

----------------------------------------------------------------------------

 

SCORE raw score on this item of a complete sample containing all calibrated persons. Table 20.3 shows the score-to-measure table for items with complete data. For items with missing data, this table does not apply. TOTALSCORE=Yes includes extreme persons

TOTALSCORE=No excludes extreme persons (if any).

MEASURE measure corresponding to score (user-scaled with UIMEAN=, USCALE=).

S.E. standard error of the measure.

The statistical information in an item estimate for the entire sample is (USCALE/S.E.)²

 

The real difficulty of an item is its difficulty relative to ...

the average difficulty of all the items

This is the Winsteps default

UIMEAN= 0

the average ability of all the persons

Specify:

UPMEAN= 0

a person who scores 50% on all the items in the test

a) Run a standard analysis

b) Output Table 20

c) In Table 20.1, look for the measure corresponding to 50% success on the test

d) Specify

UIMEAN = - (corresponding to 50% success on the test)

e) rerun the analysis

f) look at Table 20.1, 50% success on the test should be "0".

an item on which 50% of all the persons succeed

a) run a standard analysis

b) Menu: Output Tables

c) Click on first entry "Request Subtables"

20.3

Click on OK

c) In Table 20.3, look for the measure corresponding to 50% success by the sample

d) Specify

UIMEAN = - (corresponding to 50% success by the sample)

e) rerun the analysis

f) look again at Table 20.3, 50% success by the sample should be "0".


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
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
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: Winsteps and Facets
Oct 21 - 22 2024, Mon.-Tues. In person workshop: Facets and Winsteps in expert judgement test validity - UNAM (México) y Universidad Católica de Colombia. capardo@ucatolica.edu.co, benildegar@gmail.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