Table 21 Category Probability curves and Expected score ogive

(controlled by MRANGE=, CURVES=)

 

21.1 Dichotomies: Category probabilities

 

        DICHOTOMOUS CURVES                                            

P       -------------------------------------------------------------

R  1.0  0000000000000000                             1111111111111111 

O                       000000                 111111                 

B   .8                        000           111                       

A                                00       11                          

B   .6                             00   11                            

I                                    ***                              

L   .4                             11   00                            

I                                11       00                          

T   .2                        111           000                       

Y                       111111                 000000                 

    .0  1111111111111111                             0000000000000000 

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

       -6        -4        -2         0         2         4         6 

                            PERSON [MINUS]  ITEM  MEASURE          

The probability of each response is shown across the measurement continuum. The measure to be used for determining the probability of any particular response is the difference between the measure of the person and the calibration of the item. For dichotomies, only one curve is shown plotting the probability of scoring a "1" (correct), and also of scoring a "0" (incorrect) for any measure relative to item measure. For 'S' and 'F' models these curves are approximations.

21.1 Polytomies: Individual category probabilities

 

        CATEGORY PROBABILITIES: MODES - Andrich Thresholds at intersections

P       -------------------------------------------------------------

R  1.0  00000000                                             22222222 

O               0000000                               2222222         

B   .8                 000                         222                

A                         000                   222                   

B   .6                       00               22                      

I   .5                         00*111111111*22                        

L   .4                        111 00     22 111                       

I                          111      00 22      111                    

T   .2                 1111         22*00         1111                

Y               1111111        22222     00000        1111111         

    .0  ********222222222222222               000000000000000******** 

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

       -5    -4    -3    -2    -1     0     1     2     3     4     5 

                            PERSON [MINUS]  ITEM  MEASURE             

See Rating scale conceptualization.

When there are more than two categories, the probability of each category is shown. The points of intersection of adjacent categories are the Rasch-Andrich thresholds (structure calibrations).

21.2 Polytomies: Expected average ratings

 

        EXPECTED SCORE ICC/IRF: MEANS

E       -------------------------------------------------------------

X    2                                                   222222222222 

P                                                 2222222             

E  1.5                                        2222                    

C                                          111                        

T                                       111  |                        

E    1                               111     |                        

D                                 111 *      |                        

    .5                         111    *      |                        

S                          0000|      *      |                        

C                   0000000    |      *      |                        

O    0  000000000000           |      *      |                        

R       -------------------------------------------------------------

E      -5    -4    -3    -2    -1     0     1     2     3     4     5 

                            PERSON [MINUS]  ITEM  MEASURE             

 

The Expected score ogive is also called the Model Item Characteristic Curve (ICC) and Item Response Function (IRF). For response structures with three or more categories, two further graphs can be drawn. The second graph depicts the expected score ogive. The vertical "*" characters correspond to integer expected scores, and the "|" characters correspond to half-point expected scores, the Rasch-half-point thresholds. The intervals between the Rasch-half-point thresholds can be thought of as the intervals corresponding to the observed categories. For the purposes of inference, measures in the zone on the x-axis between '|' and '|' correspond, on average, to the rating given on the 'y' axis, '1'. Similarly ratings on the y-axis can be thought of as corresponding to measures in the matching zone on the x-axis. The degree to which the data support this is given by the COHERENCE statistics in Table 3.2. Empirical item characteristic curves are shown in Table 29 and from the Graphs menu.

21.3 Polytomies: Cumulative category probabilities

 

        MEDIANS - Cumulative probabilities      

P       -------------------------------------------------------------

R  1.0  ********222222222222222                                       

O       0       1111111        22222                                  

B   .8  0              111          222                               

A       0                 111          22                             

B   .6  0                    11          22                           

I   .5  0----------------------111---------222----------------------- 

L   .4  0                       | 11        | 22                      

I       0                       |   11      |   222                   

T   .2  0                       |     111   |      222                

Y       0                       |        11111        2222222         

    .0  0                       |           | 111111111111111******** 

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

       -5    -4    -3    -2    -1     0     1     2     3     4     5 

                            PERSON [MINUS]  ITEM  MEASURE

The third graph is of the zone curves which indicate the probability of an item score at or below the stated category for any particular difference between person measure and item calibration. The area to the left of the "0" ogive corresponds to "0". The right-most area corresponds to the highest category. The P=0.5 intercepts are the median cumulative probabilities. "|" indicate the Rasch-Thurstone thresholds.

 

If ISGROUPS= defines more than one item group, then one set of these curves is shown for each item group: 21.1, 21.2, 21.3, then 21.11, 21.12, 21.13, then 21.21, 21.22, 21.23, etc. Each item group is identified by an example item from the group.

 

To produce these using other software, see GRFILE= or Graphs Window, Copy Data.


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Rasch Publications
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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July 31 - Aug. 3, 2017, Mon.-Thurs. Joint IMEKO TC1-TC7-TC13 Symposium 2017: Measurement Science challenges in Natural and Social Sciences, Rio de Janeiro, Brazil, imeko-tc7-rio.org.br
Aug. 7-9, 2017, Mon-Wed. In-person workshop and research coloquium: Effect size of family and school indexes in writing competence using TERCE data (C. Pardo, A. Atorressi, Winsteps), Bariloche Argentina. Carlos Pardo, Universidad Catòlica de Colombia
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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
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