Kctinter.txt: 4 facet item-type interactions: Knox Cube Test

The Knox Cube Test is examined for bias between gender (sex) and item type

 

Facets specifications and data (in file Kctinter.txt):

 

; kctinter.txt

TITLE='Knox Cube Test with interactions'

Facets = 4  ; four facets: children, items, child gender, item length

Positive = 1  ; for facet 1, children, higher score = higher measure

Noncenter = 1  ; only facet 1, children, does not have mean measure set to zero

Model = 

?,?,? ,? ,D  ; elements of the four facets interact to produce dichotomous responses

?,?,?B,?B,D  ; interactions between facets 3 and 4, gender and item length

*

Labels =

1, Children  ; Children are facet 1

1-17  = 1 Boy,,1 ; Boys, in group 1, are numbered 1 through 17. Gender indicated by first character in label

18-35 = 2 Girl,,2 ; Girls, in group 2, are numbered 18 through 35. 

*   ; end of child labels for facet 1

2,Tapping items ; Items are facet 2

1  = 2 1-4  ; Items labelled by the order in which the four blocks are tapped

2  = 2 2-3  ; first character in label is the number of taps in the tapping pattern

3  = 3 1-2-4

4  = 3 1-3-4

5  = 3 2-1-4

6  = 3 3-4-1

7  = 4 1-4-3-2

8  = 4 1-4-2-3

9  = 4 1-3-2-4

10 = 4 2-4-3-1

11 = 5 1-3-1-2-4

12 = 5 1-3-2-4-3

13 = 5 1-4-3-2-4

14 = 6 1-4-2-3-4-1

15 = 6 1-3-2-4-1-3

16 = 6 1-4-2-3-1-4

17 = 6 1-4-3-1-2-4

18 = 7-1-3-4-2-1-4

*

3 = Gender, A  ; Dummy facet for child gender, only for interactions

1 = Boy, 0  ; elements anchored at 0 so do not enter into the measure estimation

2 = Girl, 0

*

4 = Number of Taps, A ; Dummy facet for number of taps in an item tapping pattern

2 = 2 taps, 0

3 = 3 taps, 0

4 = 4 taps, 0

5 = 5 taps, 0

6 = 6 taps, 0

7 = 7 taps, 0

*

Dvalues = ; The child gender and number of taps are in the labels, so can be omitted from the data

3, 1, 1, 1 ; Child gender element for Facet 3 is indicated in the label of Facet 1, column 1 length 1

4, 2, 1, 1 ; Item length element for Facet 4 is indicated in the label of Facet 2, column 1 length 1

*

 

; in the data:

; facet 1 element number

; facet 2 element number (a range)

; facet 3 not in data, obtained from Dvalues=

; facet 4 not in data, obtained from Dvalues=

; observations (as many as match range)

 

Data =  ; no data file name, so data follows immediately in this file

1 ,1   ,1 ; child 1 on item 1 scored 1: Facet elements for facets 3 and 4 provided in Dvalues=

1 ,2-18,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0

2 ,1-18,1,1,1,1,1,1,0,0,1,1,1,0,0,1,0,0,0,0

3 ,1-18,1,1,1,1,1,1,1,1,1,0,1,0,0,0,0,0,0,0

4 ,1-18,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0

5 ,1-18,1,1,1,1,1,1,1,1,1,1,0,0,1,1,0,0,0,0

6 ,1-18,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0

7 ,1-18,1,1,1,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0

8 ,1-18,1,1,1,1,1,0,1,0,1,1,0,0,0,0,0,0,0,0

9 ,1-18,1,1,1,1,1,1,1,1,1,1,0,0,1,0,0,0,0,0

10,1-18,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0

11,1-18,1,1,1,1,1,1,1,1,1,1,0,0,1,0,0,0,0,0

12,1-18,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0

13,1-18,1,1,1,1,1,1,1,1,1,0,1,0,0,0,0,0,0,0

14,1-18,1,1,1,1,1,1,1,1,1,1,0,1,0,1,0,0,0,0

15,1-18,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0

16,1-18,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

17,1-18,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0

18,1-18,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0

19,1-18,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0

20,1-18,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0

21,1-18,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0

22,1-18,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0

23,1-18,1,1,1,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0

24,1-18,1,1,1,1,1,0,0,1,1,1,1,1,0,0,0,0,0,0

25,1-18,1,1,1,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0

26,1-18,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0

27,1-18,1,1,1,1,1,1,1,1,1,1,1,0,1,0,0,1,1,0

28,1-18,1,1,1,1,0,1,1,1,1,1,0,0,0,0,0,0,0,0

29,1-18,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0

30,1-18,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,0,0

31,1-18,1,1,1,1,1,1,1,1,1,1,1,0,1,0,0,0,0,0

32,1-18,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0

33,1-18,1,1,1,1,1,1,1,1,1,0,0,1,0,0,0,0,0,0

34,1-18,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0

35,1-18,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0

 

This produces interaction Tables enabling us to investigate the relative performance of the genders on different tapping lengths.

 


Help for Facets (64-bit) 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