Facform, free data-formatter for Facets
Our recommendation: use EXCEL etc. instead
- Freeware Facform data formatter
Facets & Facform User Manuals On-Line
Go to Facets Online Help
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Facets
Go to Example of Facets Output
Facets is designed to handle really tough applications of
unidimensional Rasch measurement. It constructs measures from
complex data involving heterogeneous combinations of examinees,
items, tasks, judges along with further measurement and structural
facets. It is designed to handle flexibly combinations of items of
different formats in one analysis. Item types include dichotomies,
rating scales with up to 255 categories, Poisson counts and
Bernoulli trials. Multiple different measurement models can be
included in the same analysis, including paired-comparisons, rank-
order, rating scales, partial credit and dichotomizations involving
from 1 to 255 facets. Measures can also be fixed (anchored)
individually or by group mean, facilitating equating and linking
across test sessions. Quality-control fit evaluation of all
measures is provided. Unexpected data points are identified.
Bias, differential item functioning and interactions can be
measured. Weighting schemes can be implemented. Up to 1 million
examinees etc. can be included in one analysis. Typical
applications have over 90% missing data. Since organizing the data
for input to Facets and then interpreting its output can be
challenging, it is recommended that simpler approaches be tried
first. Facets has been used successfully to construct measures for
medical staff performance, patient performance, public speaking,
sports performance by individuals and teams, and consumer
preferences. Training seminars are held regularly.
Student/evaluation versions of Facets can be downloaded free from
www.winsteps.com.
Recent enhancements, changes and bug fixes to Facets.
Description of FACETS program
This program extends the objective measurement principles of Georg Rasch beyond conventional tests and attitude surveys into more
complex areas such as judged performances, and sub-tests of items replicated across tasks. Facets has already been applied in many
areas including Drama Competition, Laboratory Technician Certification, Handicapped Patient Assessment, Stain Resistance of Paints,
Public Speaking Competence, Graduate-School Candidate Selection, Teacher Assessment and Essay Grading.
Judged tests can be analyzed: Facets can analyze the ratings awarded by judges to examinees who are being tested on their performance
on a number of different skill items for each of several tasks. The choice of judging design is yours: from complete designs in which
every judge rates every examinee, to minimal designs in which any judge only rates a few of the examinees on a few of the items. The
only constraint is that there be enough overlap or rotation in the judging design to enable each parameter to be uniquely positioned
within one overall frame of reference.
Heterogeneous tests can be analyzed together: Not only can Facets perform analyses as diverse as dichotomous responses and judge-
awarded ratings, but Facets can process them together simultaneously in one analysis to estimate one ability measure for each examinee.
Mathematical flexibility: The analyst specifies to Facets the number of facets in the data, and, for each facet, its name and the names
of all the parameters included in the facet. The analyst also specifies the form of the measurement model which represents the way
in which the facets interacted to produce the observations, and which observations apply to a given model, so that multiple measurement
models can be used simultaneously in one analysis. For a complex judged test, the measurement model could be equivalent to:
where Bn = ability of examinee n, Am = difficulty of task m,
Di = difficulty of skill item i, Cj = severity of judge J,
Fk = difficulty of category k relative to category k-1,
Pnmijk = probability of rating of k under these circumstances,
Pnmijk-1 = probability of rating of k-1
