3. Drug Survey: Item Fit

Observe that the item misfit statistics do not classify the items by their for-against implications.

The score (point-measure) correlation suggests that items 5 (type A: - against drugs) and 12 (type F: - for drugs) both be reversed coded. This would further confuse understanding the variable.

TABLE 10.1 Recreational Drug Survey                 drugs.out Apr 12 15:18 1999
INPUT: 39 PERSONS, 20 ITEMS  ANALYZED: 39 PERSONS, 20 ITEMS, 5 CATS        v2.91
--------------------------------------------------------------------------------

         ITEMS STATISTICS:  MISFIT ORDER

+--------------------------------------------------------------------------------+
|ENTRY    RAW                        |   INFIT  |  OUTFIT  |SCORE|               |
|NUMBER  SCORE  COUNT  MEASURE  ERROR|MNSQ  ZSTD|MNSQ  ZSTD|CORR.| ITEMS         |
|------------------------------------+----------+----------+-----+---------------|
|     5     87     39     .67     .15|1.61   2.5|1.75   2.8|A-.01| A:not use     |
|    10    162     39    -.90     .18|1.60   1.8|1.47   1.4|B .26| F:high        |
|    11    133     39    -.19     .14|1.37   1.9|1.40   1.9|C .31| A:no-aspirin  |
|     1    136     39    -.25     .14|1.27   1.4|1.22   1.0|D .46| F:legal       |
|    12    163     39    -.93     .19|1.24    .8|1.26    .8|E-.03| F:relationship|
|    13    165     39   -1.00     .19|1.02    .1|1.19    .6|F .02| F:drug-scene  |
|     7    139     39    -.31     .14|1.06    .3|1.07    .3|G .38| F:trip        |
|     4    109     39     .24     .13|1.05    .3|1.04    .3|H .30| A:unnatural   |
|     9    167     39   -1.08     .20| .97   -.1| .94   -.2|I .14| F:calm        |
|    15    125     39    -.04     .13| .96   -.2| .95   -.3|J .45| F:experience  |
|     6     86     39     .69     .15| .93   -.4| .95   -.2|j .28| A:psycho      |
|     2    116     38     .07     .14| .95   -.3| .93   -.4|i .26| A:dangerous   |
|    20    103     39     .35     .14| .90   -.6| .87   -.8|h .48| A:dope        |
|    17     99     39     .43     .14| .82  -1.1| .84   -.9|g .34| A:stupid      |
|     8    163     39    -.93     .19| .81   -.7| .79   -.8|f .17| F:stoned      |
|    16    157     39    -.74     .17| .66  -1.5| .79   -.8|e .21| F:fun         |
|    18    108     39     .26     .13| .71  -2.0| .71  -2.0|d .17| F:less-alcohol|
|    19     53     39    1.94     .28| .63  -1.1| .64  -1.1|c .33| A:side-effects|
|    14     89     39     .63     .15| .61  -2.3| .60  -2.3|b .37| A:care-givers |
|     3     71     39    1.08     .18| .59  -1.7| .61  -1.6|a .24| A:regret      |
|------------------------------------+----------+----------+-----+---------------|
| MEAN    122.    39.     .00     .16| .99   -.2|1.00   -.1|     |               |
| S.D.     34.     0.     .78     .03| .30   1.3| .30   1.3|     |               |
+--------------------------------------------------------------------------------+

Go to Top of Page
Go to Institute for Objective Measurement Page



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
Rasch Books and Publications: Winsteps and Facets
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 Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes Rasch Models for Solving Measurement Problems (Facets), George Engelhard, Jr. & Jue Wang 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
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

To be emailed about new material on www.rasch.org
please 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 Rasch.org

www.rasch.org welcomes your comments:
Please email inquiries about Rasch books to books \at/ rasch.org

Your email address (if you want us to reply):

 

FORUMRasch Measurement Forum to discuss any Rasch-related topic

Coming Rasch-related Events
Apr. 21 - 22, 2025, Mon.-Tue. International Objective Measurement Workshop (IOMW) - Boulder, CO, www.iomw.net
Jan. 17 - Feb. 21, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
Feb. - June, 2025 On-line course: Introduction to Classical Test and Rasch Measurement Theories (D. Andrich, I. Marais, RUMM2030), University of Western Australia
Feb. - June, 2025 On-line course: Advanced Course in Rasch Measurement Theory (D. Andrich, I. Marais, RUMM2030), University of Western Australia
May 16 - June 20, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 20 - July 18, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Facets), www.statistics.com
July 21 - 23, 2025, Mon.-Wed. Pacific Rim Objective Measurement Symposium (PROMS) 2025, www.proms2025.com
Oct. 3 - Nov. 7, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com

 

Our current URL is www.rasch.org

The URL of this page is www.rasch.org/comet2.htm