Table 35 Paired-person (cheating) agreement

(controlled by PSELECT=, ISELECT=, PSUBTOTAL=, MAXPAGE=, LINELENGTH=)

 

In Table 35, the response string for each person (row) is compared with the response string for every other person (row). The underlying details for Table 35 are reported in the AGREEFILE= file.

 

Sub-samples (groups of persons) can be specified with PSUBTOTAL=. Five plots are displayed for each sub-sample, unless the plot is empty.

 

When Table 35 is launched from the Output Tables menu, the Table 35 dialog box displays.

 

Table 35

Table 35.1-5 - plots for the entire sample or for the accumulated sub-samples selected by PSUBTOTAL=

Table 35.11-15, 35.21-25, ... - plots for sub-samples selected by PSUBTOTAL=

 

x-axis: "Average of two person measures" = average of the ability measures for each pair of two persons.

plotted values: 1-9 are counts of pairs at the x,y coordinates. * is more than 9 pairs.

Table 35.1, 35.11, 35.21, ...

 

     % SAME (PAIRED STUDENT) OBSERVED RESPONSES

     -4     -2       0       2       4       6 

     +-------+-------+-------+-------+-------+ 

100%|                                    1    |

    |                                         |

 90%|                                         |

    |                              1          |

 80%|               11 1                      |

    |                 1                       |

 70%|                  2             2        |

    |       1      1  21 1        1           |

 60%|           1 1  13  1                    |

    |           11 2 4111 1  2 21  2          |

 50%|      1  1212 22224  1  1   11           |

    |         232111 142   1 1 1              |

 40%|           23 1121                       |

    |      1     1     11 11                  |

 30%|       1       21             1          |

    |         1 1 1  1 11                     |

 20%|        1                                |

    |                                         |

 10%|                                         |

    |                                         |

  0%|       1                                 |

     +-------+-------+-------+-------+-------+ 

     -4     -2       0       2       4       6 

      AVERAGE OF THE TWO STUDENT MEASURES      

Table 35.1, 35.11, 35.21, ...

y-axis: "% Same (paired student) observed responses" = the count of items for which both persons have the same response code in CODES= divided by the count of items for which both persons have a non-missing response %.

 

Cheating detection: shared responses. For cheating-detection, see www.rasch.org/rmt/rmt61d.htm

Table 35.2, 35.12, 35.22, ...    

 

% SAME (PAIRED STUDENT) SCORED RESPONSES  

     -4     -2       0       2       4       6 

     +-------+-------+-------+-------+-------+ 

100%|                 1                  1    |

    |                                         |

 90%|                  1                      |

    |              1  1            1          |

 80%|               11   1                    |

    |          1     133                      |

 70%|          1 1 11441 1           2        |

    |       1  1 112 2111 2       1           |

 60%|         114112121      2                |

    |         1111    221  1 1 21  2          |

 50%|      1  1 34 11114         11           |

    |       1     1 1        1 1              |

 40%|        1       1                        |

    |      1        1     11                  |

 30%|                              1          |

    |         1      1 11                     |

 20%|                                         |

    |                                         |

 10%|                                         |

    |                                         |

  0%|       1                                 |

     +-------+-------+-------+-------+-------+ 

     -4     -2       0       2       4       6 

      AVERAGE OF THE TWO STUDENT MEASURES      

Table 35.2, 35.12, 35.22, ...

y-axis: "% Same (paired student) scored responses" = the count of items for which both persons have the same score divided by the count of items for which both persons have a non-missing response %.

Table 35.3, 35.13, 35.23, ...

 

% SAME (PAIRED STUDENT) OBSERVED HIGHEST (RIGHT) RESPONSES

     -4     -2       0       2       4       6 

     +-------+-------+-------+-------+-------+ 

100%|                 1                  1    |

    |                                         |

 90%|                                         |

    |                              1          |

 80%|              1   1                      |

    |                 1  1                    |

 70%|                1 1             2        |

    |               1 2           1           |

 60%|                322  2                   |

    |          1   2 231 1   1 11  2          |

 50%|          1 21211111    2 1 11           |

    |          14111121    1                  |

 40%|         1113   1231    1 1              |

    |       1 1121 121 2   1                  |

 30%|         1           1        1          |

    |         1     11121                     |

 20%|       1   111                           |

    |                1                        |

 10%|                                         |

    |                                         |

  0%|      211                                |

     +-------+-------+-------+-------+-------+ 

     -4     -2       0       2       4       6 

      AVERAGE OF THE TWO STUDENT MEASURES      

Table 35.3, 35.13, 35.23, ...

y-axis: "% Same (paired student) observed highest (right) responses" = the count of items for which both persons have the same highest scored response divided by the count of items for which one or both persons have a highest scored response %.

 

Cheating detection: shared knowledge

Table 35.4, 35.14, 35.24, ...

 

% SAME (PAIRED STUDENT) OBSERVED LOWEST (WRONG) RESPONSES

     -4     -2       0       2       4       6 

     +-------+-------+-------+-------+-------+ 

100%|                                         |

    |                                         |

 90%|                                         |

    |                                         |

 80%|                                         |

    |                                         |

 70%|                                         |

    |                1                        |

 60%|       1       1 11                      |

    |                                         |

 50%|      1                                  |

    |           1      2 1                    |

 40%|           1  1  1                       |

    |      1  2  1   323                      |

 30%|             1 11311                     |

    |         1412 41 21       1              |

 20%|        1 122121224                      |

    |       1   1 1 151 1 21 4 1              |

 10%|           11   11                       |

    |            1                            |

  0%|       1 1 11  1 111111   11124 2        |

     +-------+-------+-------+-------+-------+ 

     -4     -2       0       2       4       6 

      AVERAGE OF THE TWO STUDENT MEASURES      

Table 35.4, 35.14, 35.24, ...

y-axis: "% Same (paired student) observed lowest (wrong) responses" = the count of items for which both persons have the same lowest scored response divided by the count of items for which one or both persons have a lowest scored response %.

 

Cheating detection: shared ignorance - a better indication of cheating than shared knowledge.

Table 35.5, 35.15, 35.25, ...

 

     % SAME (PAIRED STUDENT) MISSING RESPONSES 

     -4     -2       0       2       4       6 

     +-------+-------+-------+-------+-------+ 

100%|                                         |

    |                                         |

 90%|                                    1    |

    |                          1   2 2        |

 80%|          1     1                        |

    |         1   11 11 1    1                |

 70%|           1   11 1   1 2     1          |

    |      11 3331   421 11    1  21          |

 60%|          125  1222 1     11             |

    |      111  21231 55   1 1   1            |

 50%|       1      1 3421 1                   |

    |            1 11   1 1                   |

 40%|               1  2                      |

    |              11                         |

 30%|                                         |

    |                1                        |

 20%|                                         |

    |                                         |

 10%|                                         |

    |                                         |

  0%|                                         |

     +-------+-------+-------+-------+-------+ 

     -4     -2       0       2       4       6 

      AVERAGE OF THE TWO STUDENT MEASURES      

Table 35.5, 35.15, 35.25, ...

y-axis: "% Same (paired student) missing responses" = the count of items for which both persons have a missing response  divided by the count of items for which one or both persons have a missing response %.

 

CAT testing: to detect test overlap, which we want to minimize in order avoid item over-exposure and "tracking" through the item bank.

 


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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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Coming Rasch-related Events
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
Aug. 7-9, 2017, Mon-Wed. PROMS 2017: Pacific Rim Objective Measurement Symposium, Sabah, Borneo, Malaysia, proms.promsociety.org/2017/
Aug. 10, 2017, Thurs. In-person Winsteps Training Workshop (M. Linacre, Winsteps), Sydney, Australia. www.winsteps.com/sydneyws.htm
Aug. 11 - Sept. 8, 2017, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
Aug. 18-21, 2017, Fri.-Mon. IACAT 2017: International Association for Computerized Adaptive Testing, Niigata, Japan, iacat.org
Sept. 15-16, 2017, Fri.-Sat. IOMC 2017: International Outcome Measurement Conference, Chicago, jampress.org/iomc2017.htm
Oct. 13 - Nov. 10, 2017, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
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
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