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最新版 Facets 3.63

 相關軟體  Winsteps / Facets

Facets 是基於Windows的軟體，在Rasch-Model的很多應用過程中幫助，特別是在性能評價的區域內並且配對比較。建議您先熟悉較簡單的WINSTEPS才開始使用Facets。

Facets, a computer program for the construction of linear measures from qualitatively-ordered counts by means of many-facet Rasch analysis. The theory underlying the program is described in reference MFRM. These instructions also apply to MINIFAC, the student/evaluation version of Facets, which has exactly the same functionality, but is limited in the number of observations it can analyze.
A basic many-facet Rasch model for observation Xnmij is:

log ( Pnmijk / Pnmij(k-1) ) = Bn - Am - Di - Cj - Fk

where

Bn is the ability of person n, e.g., examinee: Mary,
Am is the challenge of task m, e.g., an essay: "My day at the zoo",
Di is the difficulty of item i, e.g., punctuation,
Cj is the severity of judge j, e.g., the grader: Dr. Smith,
Fk is the barrier to being observed in category k relative to category k-1.
Pnmijk is the probability of category k being observed.
Pnmij(k-1) is the probability of category k-1 being observed.

Persons, tasks, items and judges are facets. The elements include Mary, "My day at the zoo", punctuation, and Dr. Smith. For each element, Facets provides a measure (linear quantity), its standard error (precision) and five
fit statistics (statistical validity). The fit statistics enable diagnosis of aberrant observations and idiosyncratic elements. Facets also provides calibrations of response format structures, such as rating scales, partial credit
items, letter grades and ranks. Results are presented tabularly and graphically. The graphical presentation of measures is in a "ruler" format especially useful to non-technical users.

Facets can also quantify discrepant interactions between elements of different facets. Once measures have been estimated from a data set, differential facet functioning, equivalent to differential item functioning or "item bias", can be investigated automatically. A judge's bias on one item, or an item's bias against a group of persons can be identified and its size and statistical significance estimated.

Facets is ideally suited for essay grading, portfolio assessment and other kinds of judged performances. Its use is not limited to educational and psychological testing. It is employed to convert qualitative observations to linear
measures in many areas of research and practice, including product development, sports science, pollution control, public speaking and the arts.