Score and measure file output

This is for 32-bit Facets 3.87. Here is Help for 64-bit Facets 4

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=.

 

Output to SPSS, Excel and R Statistics are in their native-format. Excel and R Statistics are launched.

 

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 elements of each facet are written to separate workbooks.

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.

For R Statistics-formatted output files, the scores and measures for the elements of each facet are written to a separate Rdata file.

 

 

For help with this dialog box, see Output Dialog Box.

 

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.

 

 

When Element number is checked, its place in the Score file is set by "Element number after statistics"

When "Element number after statistics" is checked, the Element number is placed after the numerical statistics and before the Element label in the output data line.

When "Element number after statistics" is not checked, the Element number is placed first in the output data line.

(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

0. Element number

241-250

Element number is the first field when "Element number after statistics" is not checked in the Score File Field Selection dialog box. Otherwise it is before the Element label.

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. This is limited to the range -10 to +10 logits.

15. Status code

141-150

See Status Code list below

16. Group number

151-160

 

17. Weight

161-170

 

18. Sign

171-180

 

19. Infit Chi-squared

181-190

= infit information-weighted mean-square * d.f.

20. Infit Chi-squared d.f.

191-200

 

21. Infit Chi-squared 2-sided probability

201-210

2-sided probability of the chi-squared value. <.05 is significant underfit or overfit.

22. Outfit Chi-squared

211-220

= outfit conventional mean-square * d.f.

23. Outfit Chi-squared d.f.

221-230

 

24. Outfit Chi-squared 2-sided  probability

231-240

2-sided probability of the chi-squared value. <.05 is significant underfit or overfit.

25. Element number

241-250

Element number is here when "Element number after statistics" is checked in the Score File Field Selection dialog box. Otherwise it is the first field.

26. Element label

251- ?

field length depends on the length of the element labels

27. Facet number

10 columns

field positions depends on the length of the element labels

28. 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

 


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

Facets Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation Minifac download
Winsteps Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation Ministep download

Rasch Books and Publications: Winsteps and Facets
Applying the Rasch Model (Winsteps, Facets) 4th Ed., Bond, Yan, Heene Advances in Rasch Analyses in the Human Sciences (Winsteps, Facets) 1st Ed., Boone, Staver Advances in Applications of Rasch Measurement in Science Education, X. Liu & W. J. Boone Rasch Analysis in the Human Sciences (Winsteps) Boone, Staver, Yale Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes Rasch Models for Solving Measurement Problems (Facets), George Engelhard, Jr. & Jue Wang Statistical Analyses for Language Testers (Facets), Rita Green Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments (Facets), George Engelhard, Jr. & Stefanie Wind Aplicação do Modelo de Rasch (Português), de Bond, Trevor G., Fox, Christine M
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind Rasch Measurement: Applications, Khine Winsteps Tutorials - free
Facets Tutorials - free
Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan
Other Rasch-Related Resources: Rasch Measurement YouTube Channel
Rasch Measurement Transactions & Rasch Measurement research papers - free An Introduction to the Rasch Model with Examples in R (eRm, etc.), Debelak, Strobl, Zeigenfuse Rasch Measurement Theory Analysis in R, Wind, Hua Applying the Rasch Model in Social Sciences Using R, Lamprianou Journal of Applied Measurement
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch Rasch Models for Measurement, David Andrich Constructing Measures, Mark Wilson Best Test Design - free, Wright & Stone
Rating Scale Analysis - free, Wright & Masters
Virtual Standard Setting: Setting Cut Scores, Charalambos Kollias Diseño de Mejores Pruebas - free, Spanish Best Test Design A Course in Rasch Measurement Theory, Andrich, Marais Rasch Models in Health, Christensen, Kreiner, Mesba Multivariate and Mixture Distribution Rasch Models, von Davier, Carstensen
As an Amazon Associate I earn from qualifying purchases. This does not change what you pay.

facebook Forum: Rasch Measurement Forum to discuss any Rasch-related topic

To receive News Emails about Winsteps and Facets by subscribing to the Winsteps.com email list,
enter your email address here:

I want to Subscribe: & click below
I want to Unsubscribe: & click below

Please set your SPAM filter to accept emails from Winsteps.com
The Winsteps.com email list is only used to email information about Winsteps, Facets and associated Rasch Measurement activities. Your email address is not shared with third-parties. Every email sent from the list includes the option to unsubscribe.

Questions, Suggestions? Want to update Winsteps or Facets? Please email Mike Linacre, author of Winsteps mike@winsteps.com


State-of-the-art : single-user and site licenses : free student/evaluation versions : download immediately : instructional PDFs : user forum : assistance by email : bugs fixed fast : free update eligibility : backwards compatible : money back if not satisfied
 
Rasch, Winsteps, Facets online Tutorials

Coming Rasch-related Events
May 17 - June 21, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 12 - 14, 2024, Wed.-Fri. 1st Scandinavian Applied Measurement Conference, Kristianstad University, Kristianstad, Sweden http://www.hkr.se/samc2024
June 21 - July 19, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com
Aug. 5 - Aug. 6, 2024, Fri.-Fri. 2024 Inaugural Conference of the Society for the Study of Measurement (Berkeley, CA), Call for Proposals
Aug. 9 - Sept. 6, 2024, Fri.-Fri. On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com
Oct. 4 - Nov. 8, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
Jan. 17 - Feb. 21, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
May 16 - June 20, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 20 - July 18, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Facets), www.statistics.com
Oct. 3 - Nov. 7, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com

 

Our current URL is www.winsteps.com

Winsteps® is a registered trademark