Score/Measure Output Files (name and CSV status) = " "," "

Score and measure output files simplify the transfer of measures and calibrations to other computer software. you may specify a file name that will be used to hold the numeric results presented in Facets measure tables. This is called interactively from the Output Files menu as Score and measure file output.

 

The measures for each facet are written to a separate file, whose name is that specified by Scorefile=, with the facet number appended. E.g., if Scorefile=Results, then the measures for facet 1 are written to Results.1, for facet 2 to Results.2 etc.

For Excel-formatted output files, the scores and measures for the element of each facet are written to a separate worksheet within the same workbook.

For SPSS-formatted output files, the scores and measures for the elements of all facets are written to one SPSS .sav file, which includes facet number as a variable.

 

Scorefile=filename - The score file contains the results in a fixed file format, suitable for transmission to main-frame computers.

 

When Scorefile=filename,CSV - The score file contains the results in comma-separated value format, suitable for importing into many spreadsheets (or specify CSV=Y).

 

When Scorefile=filename,Tab - The score file contains the results in Tab-separated value format, suitable for importing into many spreadsheets (or specify CSV=Tab).

 

All fields, except the Label, are reported with two decimal places, and leading blanks. To select fields, use the Select Fields screen.

 

Heading lines are included or omitted, depending on Heading lines=.

QM quotation marks, controls whether labels are withing quotation marks.

 

Example: Write out score files for each facet in fixed field format:

Score file= kct

 

This puts the measures for facet 1 in file "kct.1.txt", for facet 2 in "kct.2.txt", etc. The results depend on the score file field selection, but can be:

 

1

Children

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

T.Score

T.Count

Obs.Avge

FairMAvge

Measure

S.E.

InfitMS

InfitZ

OutfitMS

OutfitZ

PtMea

PtMeExp

Discrim

Displace

Status

Group

1

Children

F-Number

F-label

7

18

0.29

0.05

-0.96

0.83

0.61

-1.19

0.29

1.99

0.8

0.75

1.71

-0.03

-1

-1

1

Boy

1

Children

10

18

0.5

0.43

1.74

1.11

4.1

2.47

6.15

1.94

0.65

0.87

-0.96

0

-1

-1

2

Boy

1

Children

 

The fixed field format is:

Field

Columns

Notes

1. Raw score)

1-10

T.Score includes extreme scores, when Totalscore=Yes

Score excludes extreme scores, when Totalscore=No

2. Response count

11-20

T.Count includes extreme scores, when Totalscore=Yes

Count excludes extreme scores, when Totalscore=No

Elements with no observations are omitted unless Omit-unobserved=No

3. Observed average score

21-30

(Raw Score)/(Raw Count)

4. Fair average score

31-40

FairMAvge: Fair=Mean computes from the mean of the other facets

FairZAvge: Fair=Zero computes from the local zero of the other facets

5. Measure

41-50

Decimal places set with Umean=x,x,x

6. Standard error

51-60

Decimal places set with Umean=x,x,x

7. Infit mean-square

61-70

 

8. Infit standardized

71-80

 

9. Outfit mean-square

81-90

 

10. Outfit standardized

91-100

 

11. Point-measure correlation

101-110

or Point-biserial correlation. See Pt-biserial=

12. Point-measure expectation

111-120

.00 if not computed.

13. Discrimination

121-130

 

14. Displacement

131-140

Decimal places set with Umean=x,x,x

15. Status code

141-150

See Status Code list below

16. Group number

151-160

 

17. Element number

161-170

 

18. Element label

172- ?

field length depends on the length of the element labels

19. Facet number

10 columns

field positions depends on the length of the element labels

20. Facet label

?

field length depends on the length of the facet label

 

Status code

Meaning for element measure

1

Anchored measure

0

No data available to estimate measure

-1

Measure estimated from data

-2

Measure estimated for extreme low score: XTREME=

-3

Measure estimated for extreme high score: XTREME=

-4

Unmeasurable, because all relevant data are generated by more than one extreme element

-5

Only one active data point for this element

 

 

Example: Compute the Spearman Reliability and Separation Index for score file.

1. Compute the sample S.D. of the Measures, then square the S.D. = Measure Variance (MV)

2. Square all the Standard errors and average the squares = Error Variance (EV)

3. Spearman (Kuder-Richardson, Cronbach) Reliability = (MV-EV) / MV

4. Separation Index = square-root (  (MV-EV) / EV )


Help for Facets Rasch Measurement Software: www.winsteps.com Author: John Michael Linacre.
 

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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
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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