Bias, differential item functioning and interactions can be measured. Weighting schemes can be implemented. Up to 4 million individual elements, such as examinees, raters, etc. Multiple observations are allowed in each cell of the data matrix. Facets has been used successfully to construct measures for language testing, medical staff performance, patient performance, public speaking, sports performance by individuals and teams, and consumer preferences.
Training courses are held regularly. 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.
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:. Input data: Facets can process up to facets, containing millions of elements in total, and millions of individual observations.
The structure of the data file, though simple, usually requires the analyst to reformat the raw data file before analysis. A utility program Facform is provided, which will usually accomplish this for small data files. Measures can be pre-set by element or by group to facilitate equating. Rating scale calibrations can also be pre-set. Results of earlier analyses can also be used as starting values for later analyses. Secondary analysis can be performed to identify interaction bias between pairs of elements.
Location, size and significance of interactions are reported, e. Rating scales can be defined as applying to all elements, or scales can be specified to be particular to each item, or each judge or any element of any facet, up to distinct scales, with up to categories per scale..
Individual misfitting observations are reported. No need to edit the data file in order to eliminate misfitting observations from further analysis.
Weighting of observations allows examination board to determine the contribution of each sub-test to the estimate of person measure. Data formats include: dichotomous, rating scales, partial credit, Bernoulli trial e.
Facets runs under Windows 10, 8, 7, Vista, but not XP and earlier. Windows version analyzes millions of people, item, judges. FacDOS is now freeware. Free update period expired? Antony Peel. Software languages. Author Facesoftware Inc. Updated Over a year ago. Last revision More than a year ago. Twitter 7. Ok We use our own and third-party cookies for advertising, session, analytic, and social network purposes. Any action other than blocking them or the express request of the service associated to the cookie in question, involves providing your consent to their use.
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