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.
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
; PERSON SCORE FILE FOR
; EXAMPLE ANALYSES
;Apr 28 22:37 2005 UMEAN=.000 USCALE=1.000
; TABLE OF SAMPLE NORMS (500/100) AND FREQUENCIES CORRESPONDING TO COMPLETE TEST
;SCORE MEASURE S.E. INFO NORMED S.E. FREQUENCY % CUM.FREQ. % PERCENTILE
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 http://www.rasch.org/rmt/rmt102t.htm 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)
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
; 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 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|
|in Spanish:||Análisis de Rasch para todos, Agustín Tristán||Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez|
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|Jan. 5 - Feb. 2, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com|
|Jan. 10-16, 2018, Wed.-Tues.||In-person workshop: Advanced Course in Rasch Measurement Theory and the application of RUMM2030, Perth, Australia (D. Andrich), Announcement|
|Jan. 17-19, 2018, Wed.-Fri.||Rasch Conference: Seventh International Conference on Probabilistic Models for Measurement, Matilda Bay Club, Perth, Australia, Website|
|Jan. 22-24, 2018, Mon-Wed.||In-person workshop: Rasch Measurement for Everybody en español (A. Tristan, Winsteps), San Luis Potosi, Mexico. www.ieia.com.mx|
|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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