For judged ratings and complex ordinal data structures...
Many-Facet Rasch Analysis
Current version: Facets 3.80.4, enhancements, bug-fixes, March 2018, Windows 10 compatible. Purchase from SWREG
Windows-native, but please check compatibility with your version of Windows, by installing the free student/evaluation/demo version. (Can run under Virtual-PC, Wine, etc. on the Mac.)
Free, Windows-native, evaluation/student version of FACETS, called MINIFAC. Contains all features except limited to 2,000 data points (responses). Please copy, distribute and use.
Capacity of full version of Facets: over 1,600,000 elements (persons + items + raters + tasks + ....), up to 2 billion observations, tested to 250 million
Winsteps vs. Facets comparison
Customer support policy and user comments.
List of citations to Facets in scholarly Papers
Our recommendation: use EXCEL etc. instead
|Useful for all Facets users: "Measuring Second Language Performance" by T. F. McNamara, Addison-Wesley Longman, 1996. Available from Barnes & Noble. or Amazon.com|
|Introduction to Many-Facet Rasch Measurement by Thomas Eckes (2011), Frankfurt am Main: Peter Lang.|
|The book "Many-Facet Rasch Measurement" by John M. Linacre, Chicago: MESA Press, 1992, is available from https://www.rasch.org/books.htm|
Facets is designed to handle applications of unidimensional many-facets Rasch measurement from the simple to the really tough. It constructs measures from complex data involving combinations of different facets, such as examinees, items, tasks, judges along with further measurement and structural facets. It is designed to handle 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, Likert and other rating scales, partial credit, and dichotomizations, all involving from 1 to 255 facets. For instance, two-facet person-item multiple-choice questions can be included in the same analysis as four-facet person-rater-task-item ratings. 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 4 million individual elements, such as examinees, raters, etc., can be included in one analysis. Typical applications have over 90% missing data. 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. Student/evaluation/demo versions of Facets, called Minifac, can be downloaded free from www.winsteps.com/minifac.htm.
Go to recent enhancements, changes and bug fixes to Facets.
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:
log(Pnmijk / Pnmijk-1) = Bn - Am - Di - Cj - Fk
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
Input data: Facets can process up to 255 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.
Elements can be grouped within facets so that summary statistics can be produced by group.
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.g., interaction (bias) between individual judges and individual items.
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 255 distinct scales, with up to 255 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.g. number of hits on target) and Poisson count (e.g. number of spelling mistakes in a long essay).
Windows runs under Windows-XP/98/2000/NT etc., but not 95 nor 3.1. Windows version analyzes millions of people, item, judges. DOS version analyses size up to 32,000 people, items and judges combined.
Facets is not 508 VPAT compliant. The earlier MS-DOS version of Facets is text-only and so is 508 VPAT compliant. It is now freeware.
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|Download free student/evaluation versions, MINISTEP and MINIFAC, to check out software features.|
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|Facets Rasch measurement software.
Buy for $149. & site licenses.
Freeware student/evaluation download
Winsteps Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation download
|State-of-the-art : single-user and site licenses : free student/evaluation versions : download immediately : instructional PDFs : user forum : assistance by email : bugs fixed fast : free update eligibility : backwards compatible : money back if not satisfied|
Rasch, Winsteps, Facets online Tutorials
|Forum||Rasch Measurement Forum to discuss any Rasch-related topic|
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|Rasch Measurement Transactions (free, online)||Rasch Measurement research papers (free, online)||Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch||Applying the Rasch Model 3rd. Ed., Bond & Fox||Best Test Design, Wright & Stone|
|Rating Scale Analysis, Wright & Masters||Introduction to Rasch Measurement, E. Smith & R. Smith||Introduction to Many-Facet Rasch Measurement, Thomas Eckes||Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments, George Engelhard, Jr. & Stefanie Wind||Statistical Analyses for Language Testers, Rita Green|
|Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar||Journal of Applied Measurement||Rasch models for measurement, David Andrich||Constructing Measures, Mark Wilson||Rasch Analysis in the Human Sciences, Boone, Stave, Yale|
|in Spanish:||Análisis de Rasch para todos, Agustín Tristán||Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez|
|Winsteps Tutorials||Facets Tutorials||Rasch Discussion Groups|
|Coming Winsteps & Facets Events|
|May 22 - 24, 2018, Tues.-Thur.||EALTA 2018 pre-conference workshop (Introduction to Rasch measurement using WINSTEPS and FACETS, Thomas Eckes & Frank Weiss-Motz), https://ealta2018.testdaf.de|
|May 25 - June 22, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com|
|June 27 - 29, 2018, Wed.-Fri.||Measurement at the Crossroads: History, philosophy and sociology of measurement, Paris, France., https://measurement2018.sciencesconf.org|
|June 29 - July 27, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com|
|July 25 - July 27, 2018, Wed.-Fri.||Pacific-Rim Objective Measurement Symposium (PROMS), (Preconference workshops July 23-24, 2018) Fudan University, Shanghai, China "Applying Rasch Measurement in Language Assessment and across the Human Sciences" www.promsociety.org|
|Aug. 10 - Sept. 7, 2018, Fri.-Fri.||On-line workshop: Many-Facet Rasch Measurement (E. Smith, Facets), www.statistics.com|
|Oct. 12 - Nov. 9, 2018, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com|
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