Table 24.3, 24.13, ... Person contrast by items

Please do not interpret this as a usual factor analysis. These plots show contrasts between opposing factors, not loadings on one factor. For more discussion, see dimensionality and contrasts.

 

The effect on the items of the contrast between the oppositely loading persons (Table 24.1) at the top and bottom of the contrast plot is shown here.

 

Table 24.0 Variance components scree plot for persons

Table 24.1, 24.11 Principal components plots of person loadings

Table 24.2, 24.12 Person Principal components analysis/contrast of residuals

Table 24.3, 24.13 Person contrast by items

Table 24.4, 24.14 Person contrast loadings sorted by measure

Table 24.5, 24.15 Person contrast loadings sorted by entry number

Table 24.99 Largest residual correlations for persons

 

Responses by up to 9 persons (or on up to 9 items) to the items (or by the persons) with extreme positive loadings and the items (or persons) with extreme negative loadings are identified. These responses are seen to be higher, as expected, or lower than the model predicts. Counts of these are obtained for each person (or item). The persons (or items) showing the biggest impact of this contrast are listed first. Items and persons showing the most contrast are chosen for this Table based on the "Liking for Science" data.

 

Table 24.3 showis the impact of the first contrast in the person residuals on items:

 

  PUPIL contrast 1 CONTRASTING RESPONSES BY ACTS

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

|          FAVORS TOP             |

| TOP 9 PUPILS   | BOTTOM 9 PUPILS|

| HIGH  EXP. LOW | HIGH  EXP. LOW |      Items biased towards top 9 persons

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

|    9    0    0 |    0    0    9 | 23  WATCH A RAT

|    8    1    0 |    0    1    8 | 5   FIND BOTTLES AND CANS

|    7    2    0 |    1    7    1 | 20  WATCH BUGS

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

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

|          FAVORS BOTTOM          |

| TOP 9 PUPILS   | BOTTOM 9 PUPILS|

| HIGH  EXP. LOW | HIGH  EXP. LOW |      Items biased towards bottom 9 persons

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

|    0    4    5 |    0    9    0 | 13  GROW GARDEN

|    0    5    4 |    0    9    0 | 2   READ BOOKS ON ANIMALS

|    0    5    4 |    0    9    0 | 15  READ ANIMAL STORIES

|    0    5    4 |    0    9    0 | 24  FIND OUT WHAT FLOWERS LIVE ON

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

 

FAVORS TOP

These items score higher on the persons at the top of the Contrast 1 plot in Table 24.1 than the persons at the bottom of the contrast plot

FAVORS BOTTOM

These items score higher on the persons at the bottom of the Contrast 1 plot in Table 24.1 than the persons at the top of the contrast plot

TOP 7 PUPILS

Responses for the top 7 persons (or top half of the persons if less than 7) on the Contrast plot

BOTTOM 7 PUPILS

Responses for the bottom 7 persons (or top half of the persons if less than 7) on the Contrast plot

HIGH

item response is higher than expected on this many persons

EXP.

item response is expected (within 0.5 score points) on this many persons

LOW

item response is lower than expected on this many persons

23  WATCH A RAT

item entry number and item label.

items with greatest differential performance between TOP and BOTTOM are shown with strongest difference listed first.

23  WATCH A RAT

13  GROW GARDEN

The effect of the 1st Contrast is more strongly seen in the performance of these two items. Is there something about them that interacts with the set of persons?


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