CFILE= scored category label file
Rating (or partial credit) scale output is easier to understand when the categories are shown with their substantive meanings. Use CFILE= to label categories using their scored values, i.e., after rescoring. Use CLFILE= to label categories using their original codes, i.e., before any rescoring.
Labels for categories, after they have been scored, can be specified using CFILE= and a file name, or CFILE=* and placing the labels in the control file. Each category number is listed (one per line), followed by its descriptive label. If the observations have been rescored (NEWSCORE=) or keyed (KEYn=), then use the recoded category value in the CFILE= specification. When there are different category labels for different ISGROUPS= of items, specify an example item from the grouping, followed immediately by "+" and the category number. Blanks or commas can be used a separators between category numbers and labels.
CFILE= file name
file containing details
CFILE = *
CFILE = ?
opens a Browser window to find the file
Example 1: Identify the three LFS categories, 0=Dislike, 1=Don't know, 2=Like.
1 Don't know
The labels are shown in Table 3.2 as:
CATEGORY OBSERVED AVGE INFIT OUTFIT STRUCTURE
LABEL COUNT MEASURE MNSQ MNSQ MEASURE
0 378 -.87 1.08 1.19 NONE Dislike
1 620 .13 .85 .69 -.85 Don't know
2 852 2.23 1.00 1.46 .85 Like
Example 2: Items 1-10 (Grouping 1) are "Strong Disagree, Disagree, Agree, Strongly Agree". Items 11-20 (Grouping 2) are "Never, Sometimes, Often, Always".
7+1 Strongly Disagree ; We could use any item number in Grouping 1, i.e., 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
7+2 Disagree ; item 7 has been chosen
7+4 Strong Agree
13+1 Never ; We could use any item number in Grouping 2, i.e., 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
13+2 Sometimes ; item 13 has been chosen
Example 3: To enter CFILE= information on the DOS Prompt or Extra Specifications lines, using commas instead of blanks as separators:
C:>Winsteps SF.TXT SFO.TXT CFILE=* 1,Dislike 2,Don't-know 3,Like *
Example 4: Some items have one rating scale definition, but most items have another rating scale definition. But each item is calibrated with its own structure: ISGROUPS=0
1 Strongly Disagree This scale is used by most items
4 Strong Agree
16+1 Never 16 is one item using the other scale
17+1 Never 17 is another item using the other scale
.... for all the other items using the other scale
Example 5: Several categories are collapsed into one category. The original codes are A-H. After rescoring there is only a dichotomy: 0, 1.
0 Fail Specify the categories as recoded
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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|
|Winsteps Tutorials||Facets Tutorials||Rasch Discussion Groups|
|Coming Rasch-related Events|
|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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