Vertical rulers in Table 6 = 1A,2A,3A,4A,..

Top Up Down  A A

Vertical rulers present the measures in graphical form in Table 6. The vertical rulers usually present the facets in columns in numerical order from left to right. Each column lists that facet's element alphabetical labels (or numbers if no labels) vertically by measure. To the right of the facet columns are the rating and other scales, showing the expected scores at each measure.

 

When you wish to suppress this part of the output, enter

Vertical = No

 

The standard representation of the facets may be overridden as follows:

Vertical=4N,2A,2N,1*

The facet numbers are written in the order they are to appear. Here, the columns, from left, to right, will be Facet 4, then Facet 2, then Facet 2 again, then Facet 1. Facet 3 and any other facets will not appear.

 

Yardstick= controls some aspects of the formatting of Table 6.

 

The presentation of elements of facets is controlled by letters after the facet numbers:

Vertical=

N

show element numbers

4N

show the element numbers of Facet 4

*

show frequency distribution of the elements

C

show count of the elements in this position

A

(or any character other than N nor *, e.g., L) show element labels (alphabetically)

S

show the rating scale category numbers (default)

SL

show the rating scale category numbers and labels

#S

do not show scoring (rating scale or partial credit) values

 

Example 1:

In analysis of the Knox Cube Test, facet 1 is the Children, facet 2 is the Items.

The vertical rulers are to show the distribution of the Children, then the item numbers and their alphabetical names:
Vertical=1*,2N,2A

 

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

|Measr|+Childre|-Tapping it|-Tapping items                                |

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

|   5 +        + 18        + 4-1-3-4-2-1-4                                +

|     |        | 15 16 17  | 1-3-2-4-1-3    1-4-2-3-1-4    1-4-3-1-2-4    |

|     |        |           |                                              |

|   4 +        +           +                                              +

|     | *      |           |                                              |

|     |        | 14        | 1-4-2-3-4-1                                  |

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

|Measr| * = 2  |-Tapping it|-Tapping items                                |

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

*=2 indicates number of elements per *

 

+ChildrenChildren is a positive facet (Positive=), such that greater raw score means higher measure.

-TappingTapping is a negative facet (Negative=), such that greater raw score means lower measure.

 

Example 2:

Disjoint subsets (detected by the connectivity algorithm) are always reported with Vertical=(N,#S), because the scale information is not relevant.

 

Table 6.0.1 Disjoint Subset 1 Vertical Summary.

 

Vertical = (1N,2N,3N,#S) Yardstick (columns, lines) = 0,4

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

|Measr|+supervisors|+nurses|+items|

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

+   2 +            +       +      +

|     |            |       |      |

|     |            |       |      |

|     |            |       |      |

+   1 +            + 18    +      +

|     |            |       |      |

|     |            |       |      |

|     |            |       |      |

*   0 *            *       * 1 2  *

|     |            |       |      |

|     | 18         |       |      |

|     |            |       |      |

+  -1 +            +       +      +

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

|Measr|+supervisors|+nurses|+items|

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

 

Example 3: Show the "Liking for Science" rating scale with labels:

Vertical = 1C, 2A, SL

 

 

Example 4: Show all the element labels for the Guilford data:

 

Vertical = (1A,2A,3A,S) Yardstick (columns lines low high extreme)= 0,10,-1,1,End

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

|Measr|-Senior scientists|+Junior Scientists|-Traits                 |CREAT|

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

|   1 +                  +                  +                        + (9) |

|     |                  |                  |                        |  7  |

|     |                  |                  |                        |     |

|     |                  |                  |                        | --- |

|     |                  | Betty            |                        |     |

|     |                  |                  | Enthusiasm             |     |

|     |                  | Edward           |                        |  6  |

|     |                  | George           |                        |     |

|     | Brahe            |                  | Clarity                | --- |

|     |                  |                  |                        |     |

*   0 * Avogadro         *                  *                        *  5  *

|     | Cavendish        | Anne             | Basis                  |     |

|     |                  | Chris            |                        | --- |

|     |                  |                  | Attack      Daring     |     |

|     |                  |                  |                        |  4  |

|     |                  | David            |                        |     |

|     |                  | Fred             |                        |     |

|     |                  |                  |                        | --- |

|     |                  |                  |                        |     |

|     |                  |                  |                        |  3  |

|  -1 +                  +                  +                        + (1) |

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

|Measr|-Senior scientists|+Junior Scientists|-Traits                 |CREAT|

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


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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 2nd. Ed., Bond & Fox (Winsteps) 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 (Facets) Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr. (Facets)
Statistical Analyses for Language Testers, Rita Green (Winsteps, Facets) Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar Journal of Applied Measurement
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