Score/Measure Output Files = " "

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

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.

 

Score file name

What happens

Scorefile= filename.xls

Scorefile= filename.xlsx

Excel file

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

Scorefile= filename.sav

SPSS file

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.rda

Scorefile= filename.rdata

R Statistics file

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

Scorefile= filename with any other suffix or no suffix

CSV=

CSV=Tab

CSV=CSV

DOS Text file

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.

The file format is specified by CSV

 

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

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

 

 

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 and Rasch Analysis Software: www.winsteps.com Author: John Michael Linacre.
 

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