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

 

When Scorefile=filename,Tab - The scorefile 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:

 

 

The fixed field format is:

 

 

 

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 )