Winsteps control, data and anchor file |
Winsteps provides analytical and output capabilities not implemented in Facets, such as the principal components analysis PCA of residuals. Winsteps requires a rectangular data layout. Select from the Output Files pull-down menu,
The Facets data are formatted into a rectangle. A row (or column) can comprise one facet. If one facet is checked, then each element of that facet becomes one row (or one column) in the data rectangle. If two or more facets are checked for rows (or columns), then each row (or column) comprises data corresponding to one combination of elements from each checked facet.
It is typical that formatting the data as a rectangle results in more than one observation for each row-column cell. If so, the "Select data" option specifies whether it is the first relevant datapoint in the Facets file, or the last, or the sum, which occupies the cell.
Row and column measure anchor values can also be written into the Winsteps file. These are obtained from the Facets estimates. If there is a rating-scale common to all the Facets data, this can also be used for Winsteps anchor values.
Example 1: The dialog box produces:
Example 2: To verify that raters are following the judging plan, output a Winsteps file with the raters as rows, and the other ingredients of the judging plan as columns.
Example 3: We want a standard version of Winsteps Table 2.2 or other Winsteps Keyform-style output.
1. Do the Facets analysis, and output an Anchor file.
2. Output from the Facets "output files" menu a Winsteps control file. Specify which facet you want for the Winsteps columns (the rows on Table 2.2) and which facets you want for the Winsteps rows. Check "row anchor values" and "column anchor values". If "scale anchor values" are available, please check them.
3. Look at the Winsteps control file. If IAFILE= or SAFILE= anchor values are missing, please copy and reformat those values from the Facets anchorfile.
4. Run Winsteps and produce Table 2.2 or whatever Winsteps output you want.
Example 4. To investigate unidimensionality or multidimensionality and local independence, output a Winsteps control and data file with appropriate columns, analyze with Winsteps and output Winsteps Table 23.
Help for Facets (64-bit) Rasch Measurement and Rasch Analysis Software: www.winsteps.com Author: John Michael Linacre.
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