SCOREFILE= person score file

If SCOREFILE=filename is specified, a file is output which contains the measure and model standard error corresponding to every possible score on a test consisting of all the non-extreme  items.


The SCOREFILE= and Table 20 person ability estimates are estimated on the basis that the current item difficulty estimates are the "true" estimates. These are the person estimates if you anchored (fixed) the items at their reported estimates. PFILE=, Table 17 and the other Person Measure Tables show the person abilities that are the maximum likelihood estimates at the current stage of estimation. To make these two sets of estimates coincide, please tighten the convergence criteria in your Winsteps control file:


LCONV=*.001 ; or tighter


If you want the score file for person measures including the extreme (zero, perfect) items, then

1. Run a standard analysis.

2. Output: IFILE=if.txt SFILE=sf.txt

3. Run the analysis again, with Extra specifications: IAFILE=if.txt SAFILE=sf.txt

4. The person measures will have altered somewhat to adjust for the imputed difficulties of the extreme items.

5. Output Table 20 and SCOREFILE=


SCOREFILE=? opens a Browse window


This is also shown in Table 20. It has 3 heading lines (unless HLINES=N), and has the format:




;Apr 28 22:37 2005  UMEAN=.000  USCALE=1.000



     0  -5.2891  1.4230    .49   -76  125       0    .0       0    .0        0


    58   1.8144   .3351   8.90   546   29      15   2.9     363  71.2       70

    59   1.9303   .3461   8.35   556   30      20   3.9     383  75.1       73

    60   2.0544   .3588   7.77   567   31      21   4.1     404  79.2       77


    70   5.3232  1.4245    .49   853  125       3    .6     510 100.0       99


1. SCORE: Score on test of all items

The score file shows integer raw scores, unless there are decimal weights for IWEIGHT=. In which case, scores to 1 decimal place are shown. To obtain other decimal raw scores for short tests, go to the Graphs pull-down menu. Select "Test Characteristic Curve". This displays the score-to-measure ogive. Click on "Copy data to clipboard". Open Excel. Paste. There will be to three columns. The second column is the measure, the third column is the raw score.


2. MEASURE: Measure (user-scaled by USCALE=)

If this value is not the same as in PFILE=

1. Missing data. The measure in the PFILE= is based on the responses observed. The measure in the SCOREFILE= is based on all the items.

2. Convergence criteria. The convergence criteria: CONVERGE=, LCONV=, RCONV= are not tight enough for your data. Please try setting LCONV= and RCONV= to smaller values. SCFILE= measures are estimated from the item estimates reported in Table 14 using the technique at converged at LCONV=*.001 logits and RCONV=*.001 score points. Suggested values:


3. S.E.: Standard error (user scaled by USCALE=) - model, because empirical future misfit is unknown.

4. INFO: Statistical information in measure (=1/Logit S.E.²) = observable points of the Test Information Function (TIF).


Measures locally-rescaled, so that sample mean=500,   standard deviation=100

5. NORMED: Measure (rescaled)

6. S.E.: Standard error (rescaled)


Sample distribution:

7. FREQUENCY: Count of sample at this measure

8. %: Percent of sample at this measure

9. CUM.FREQ.: Count of sample at or below this measure

10. %: Percent of sample at or below this measure

11. PERCENTILE: Percentile of this sample lower than the current measure (range is 0-99).


If CSV=Y, these values are separated by commas. When CSV=T, the commas are replaced by tab characters.


Example 1: You wish to write a file on disk called "MYDATA.SCF.txt" containing a score-to-measure table for the complete test.



Example 2: You want a score-to-measure file for items with known difficulties.

   ITEM1=1  ; start of response string

   NI=10   ; number of items

   CODES=01  ; valid item codes


   ; known item difficulties here

   1 0.53



   ; known structure "step" calibrations here, if rating scale or partial credit items


   SCOREFILE=sm.txt  ; the score-to-measure file - also see Table 20



   0101010101  ; two dummy data records

   1010101010  ; give every item a non-extreme score


Example 3: Produce a cumulative percentage plot of raw scores:

1) Output the Scorefile= to Excel

2) Scatterplot with lines between points

3) x-axis: SCORES

4) y-axis: Cumulative Frequency %

For the inverse cumulative percentage plot (percentage point plot), switch the x-axis and the y-axis.


Example 4: more exact relationship between raw scores and Rasch measures.

1) "Output Files" menu, SCOREFILE= to Excel.

2) Excel scatterplot the measures against the scores

3) On the Excel scatterplot, a cubic trendline: display formula.

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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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