Score and measure file output

From the Output Files menu as Score and measure file output. This enables you to control the Score and measure file. Score and measure output files simplify the transfer of measures  to other computer software. you may specify a file name that will be used to construct files to hold the numeric results presented in Facets measure tables. Also produced by Scorefile=.

 

The measures for each facet are written to a separate file, whose name is that specified, 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.

 

 

Select Facets:

specifies the facets for which the elements are to be reported.

Select file format:

describes in what way you want the details of each element to be listed

Include column headings

Usually headings are not wanted when a score file is to be imported into a database. Heading lines=

Show unobserved elements

Reports all elements specified in Labels=. Otherwise only elements active in this analysis are reported. Omit-unobserved=

Labels between quotation marks

Useful if labels contain blanks. Required by some software. The quotation mark character can be specified

Tab-separated fields

best field format for Excel

Character-separated fields

best field format for some database programs. The separator character can be specified

Fixed-length fields

easiest field format to read by eye

Button: Score fields to output

to select which fields to include in the score file. Check the fields to be output. Then click on OK.

 

(Other Buttons)

see Output Dialog box.

 

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

 


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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: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr. 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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Coming Rasch-related Events
July 31 - Aug. 3, 2017, Mon.-Thurs. Joint IMEKO TC1-TC7-TC13 Symposium 2017: Measurement Science challenges in Natural and Social Sciences, Rio de Janeiro, Brazil, imeko-tc7-rio.org.br
Aug. 7-9, 2017, Mon-Wed. In-person workshop and research coloquium: Effect size of family and school indexes in writing competence using TERCE data (C. Pardo, A. Atorressi, Winsteps), Bariloche Argentina. Carlos Pardo, Universidad Catòlica de Colombia
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Aug. 10, 2017, Thurs. In-person Winsteps Training Workshop (M. Linacre, Winsteps), Sydney, Australia. www.winsteps.com/sydneyws.htm
Aug. 11 - Sept. 8, 2017, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
Aug. 18-21, 2017, Fri.-Mon. IACAT 2017: International Association for Computerized Adaptive Testing, Niigata, Japan, iacat.org
Sept. 15-16, 2017, Fri.-Sat. IOMC 2017: International Outcome Measurement Conference, Chicago, jampress.org/iomc2017.htm
Oct. 13 - Nov. 10, 2017, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
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
April 13-17, 2018, Fri.-Tues. AERA, New York, NY, www.aera.net
May 25 - June 22, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 29 - July 27, 2018, Fri.-Fri. On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com
Aug. 10 - Sept. 7, 2018, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
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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