PCORFIL= person residual correlation file

This writes out the Table of inter-person correlations which is the basis of the principal components analysis of residuals. The basis for the correlations is controlled by PRCOMP=.

PRCOMP=R correlates the raw residuals

PRCOMP=S correlates the standardized residuals

PRCOMP=O correlates the observations


Extreme scores: minimum possible (0) and maximum possible (perfect) item scores are omitted from the computation of the correlations. Persons with extreme scores are not reported. Their correlation is 0.


Missing data: for these Winsteps substitutes their expectations when possible. For residuals and standardized residuals, these are 0. Items with extreme scores (minimum possible or maximum possible): Winsteps drops these from the correlation computation. The reason for these choices is to make the principal components analysis of residuals as meaningful as possible.


PCORFILE=? opens a Browse window


Example 1: Write out the Table of inter-person residual correlations. PCORFIL=file.txt - Then file.txt contains, for SF.txt, in 12-character, fixed-format, columns:


           1           2     .028295

           1           3     .376179

           1           4     .457773

           1           5     .212332

           1           6    -.452587

           1           7     .338937



Example 2: When PCORFILE= is selected on the Output Files menu or MATRIX=YES, the Data Format: Matrix option can be selected:



This produces in 10-character wide columns:

        1         2         3         4

 1.000000   .028295   .376179   .457773

  .028295  1.000000   .460451  -.314252

  .376179   .460451  1.000000  -.083707

  .457773  -.314252  -.083707  1.000000

  .212332  -.258320  -.009482   .270427

 -.452587   .271853  -.443830  -.118054

  .338937  -.556438   .204127   .348083

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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 with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments, George Engelhard, Jr. & Stefanie Wind 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
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Coming Rasch-related Events
April 10-12, 2018, Tues.-Thurs. Rasch Conference: IOMW, New York, NY, www.iomw.org
April 13-17, 2018, Fri.-Tues. AERA, New York, NY, www.aera.net
May 22 - 24, 2018, Tues.-Thur. EALTA 2018 pre-conference workshop (Introduction to Rasch measurement using WINSTEPS and FACETS, Thomas Eckes & Frank Weiss-Motz), https://ealta2018.testdaf.de
May 25 - June 22, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 27 - 29, 2018, Wed.-Fri. Measurement at the Crossroads: History, philosophy and sociology of measurement, Paris, France., https://measurement2018.sciencesconf.org
June 29 - July 27, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com
July 25 - July 27, 2018, Wed.-Fri. Pacific-Rim Objective Measurement Symposium (PROMS), (Preconference workshops July 23-24, 2018) Fudan University, Shanghai, China "Applying Rasch Measurement in Language Assessment and across the Human Sciences" www.promsociety.org
Aug. 10 - Sept. 7, 2018, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
Sept. 3 - 6, 2018, Mon.-Thurs. IMEKO World Congress, Belfast, Northern Ireland www.imeko2018.org
Oct. 12 - Nov. 9, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com



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