Table 16 Person maps with full person labels

(controlled by T1SCORE=, IPEXTREME=, MRANGE=, MTICK=, MAXPAGE=, NAMLMP=, PSORT=, T1I#=, LINELENGTH=see also MTOP=)

 

Table 16.3 Person map with full labels

 

MEASURE ACT - MAP - KID

        <rare>|<more>

   5          +  FATALE, NATASHA        ROSSNER, LAWRENCE F.

              |

              |

              |

              |

              |  PASTER, RUTH

   4          +

              |

              |  SCHATTNER, GAIL

              |T

              |  DOEPPNER, TOM

              |

   3          +  MCLOUGHLIN, BILLY

             T|  WRIGHT, BENJAMIN

              |

           X  |  BUFF, MARGE BABY       CHAZELLE, BERNIE

              |  CLAPP, LB              SEILER, KAREN

           X  |S ERNST, RICHARD MAX     SQURREL, ROCKY J.

   2          +  CLAPP, CHARLIE         EASTWOOD, CLINT

                 VROOM, JEFF

          XX  |  BADENOV, BORIS         KENT, CLARK

           X  |  MOOSE, BULLWINKLE      ROSSNER, BESS

              |  CORLEONE, VITO         MAN, SPIDER

                 PATRIARCA, RAY

             S|  HSIEH, PAUL FRED       SQUILLY, MICHAEL

           X  |  CLAPP, DOCENT          HOGAN, KATHLEEN

                 ROSSNER, TOBY G.

   1          +M BECKER, SELWIN         BLOFELD, VILLAIN

                 FONTANILLA, HAMES      LAMBERT, MD., ROSS W.

              |  SABILE, JACK           TOZER, AMY ELIZABETH

          XX  |  ALLEN, PETER           BABBOO, BABOO

                 CORLEONE, MICHAEL      PINHEAD, ZIPPY

         XXX  |  BEISER, ED             HSIEH, DANIEL SEB

                 MALAPROP, MRS.         SANDBERG, RYNE

           X  |  CIANCI, BUDDY          EISEN, NORM L.

          XX  |  AIREHEAD, JOHN         ANGUIANO, ROB

   0         M+  AMIRAULT, ZIPPY        DRISKEL, MICHAEL

         XXX  |S

           X  |  BAUDET, GERARD

           X  |  BOND, JAMES            ROSSNER, REBECCA A.

           X  |

  -1       X  +  LIEBERMAN, DANIEL      NORDGREN, JAN SWEDE

              |

           X S|  JACKSON, SOLOMON       LANDMAN, ALAN

           X  |T

              |  SABOL, ANDREW

              |

  -2       X  +

        <freq>|<less>

Right-hand column shows the full person labels located by the person ability measures along the variable. Abbreviated person labels are shown in Table 1.3. The persons often have a normal distribution.

 

Left-hand column locates the item difficulty measures along the variable. Table 12 has the full item labels.

 

For dichotomous items, look for an even spread of items along the variable (the y-axis) with no gaps, indicating poorly defined or tested regions of the variable.  Good tests usually have the items targeted (lined up with) the persons.

 

For polytomous items, Table 2.2 shows the operational range of the item with its rating scale.

 

In Table 16.3, the full person names are shown with an item distribution. You can use NAMLMP= or PMAP=to control the number of characters of each name reported. MAXPAGE= controls the length of the Table. MRANGE= controls the displayed range of measures. PSORT= controls the sort order within rows.

 

Persons arranged by measure: Look for the hierarchy of person names to spell out a meaningful distribution from highest scoring at the top to lowest scoring at the bottom.

 

M,S,T are the Mean, 1 and 2 Standard Deviations from the Mean for the persons and items. With IPEXTREME=Yes (the default), persons and items with extreme scores are placed at the ends of the map and are excluded from M,S,T. With IPEXTREME=No, persons and items with extreme scores are placed at their measures on the map and are included in M,S,T.

 

Column Labels

ITEM=

MAP

PERSON=

RARE=

MORE=

 

 

FREQ=

LESS=

Table 16.13 Person map with full labels and reversed item distribution

 

MEASURE TAP - MAP - KID

        <freq>||<more>

   5     XXX  ++

           X  ||

   4      XX  ++T

          XX S||  Rick    M  Susan   F

   3          ++  Frank   M

           X  ||

   2          ++S Bert    M  Betty   F  Elsie   F  Thomas  M

           X  ||

   1          ++  Britton F  Carol   F  David   M  Joe     M  Zula    F

              ||

   0         M++M

              ||  Anne    F  Audrey  F  Barbara F  Dorothy F  James   M

                  Kim     F  Linda   F  Mike    M  Ron     M  Tracie  F

                  Walter  M  William M

  -1       X  ++

              ||  Janet   F  Lisa    F  Rod     M

  -2      XX  ++S Brenda  F  Pete    M

              ||

  -3          ++  Adam    M  Richard M

           X S||  Blaise  M  Martha  F

  -4          ++T

              ||  Don     M

  -5    XXXX  ++  Helen   F

        <rare>||<less>

Right-hand column is the person details, see Table 16.3. Abbreviated person labels are shown in Table 1.13.

 

Left-hand column locates the item distribution by their easiness measures along the latent variable. These are  the difficulty measures reversed around the mean person difficulty "M".

 

Column Labels

ITEM=

MAP

PERSON=

FREQ=

MORE=

 

 

RARE=

LESS=

 

On Plot:

Description:

SCORE

raw score on all active items when T1SCORE=Yes. Includes extreme items when TOTALSCORE=Yes

MEASURE

Location of person or item on the unidimensional latent variable, in logits or USCALE= units

<more>

higher person "ability" = higher raw score with complete data

<less>

lower person "ability" = lower raw score with complete data

<rare>

higher item "difficulty" = lower item "easiness" = lower score on the item with complete data: PVALUE=

<frequ>

<frequent>

lower item "difficulty" = higher item "easiness" = higher score on the item with complete data: PVALUE=

M

Mean of person or item distribution

S

One "sample is the population" standard deviation from the person or item mean

T

Two standard deviations from the person or item mean

X

one person or item

#

several persons or items, e.g., EACH "#" = 4. The value for # can be changed with T1I#= for items, T1P#= for persons.

.

between 1 and (# - 1) persons or items, e.g., if # = 4, then "." = 1 to 3

|

Variable advances. Lines without "|" have the same measure as the nearest "|" above.

||

The double line || indicates the two sides have opposite orientations: person ability and item easiness. The item difficulties are reversed.This is useful if the items and persons are being compared to the responses.


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


 

 

 

Our current URL is www.winsteps.com

Winsteps® is a registered trademark