Rating scale, partial credit, rank and count structures reported numerically and graphically. Item responses which cause person misfit, a table of measures for all possible complete scores, and complete DOS files for additional Person reports and graphical output include measures, standard errors, fit statistics, detailed reports of the particular improbable Person responses which cause item misfit, distracter counts, and complete DOS files for additional analysis of item statistics. Item reports and graphical output include calibrations, standard errors, fit statistics, detailed reports of the particular improbable Īnalyze responses from computer-adaptive tests.Īnalyze several partially linked forms in one analysis.Missing responses or non-administered items are no problem. Structures for up to 32,768 ordered categories per structure, with useful estimation of perfect scores. Scores and analyzes dichotomous items, or sets of items with the same or different rating scale, partial credit, rank or count Meaningful results of Rasch analysis can be easily obtained for large data sets, with the added convenience of using your own standard PC. Now the theoretical advantages and directly Rasch analysis has been the IRT method of choice for moderate size data sets since 1965. Winsteps:2-D x-y, 3-D x-y Scatterplots, Wright Maps, Scree Plots, One-click through R Statistics modules Student/evaluation/demo versions of Winsteps, called Ministep, can be downloaded free from Winsteps® is a registered trademark Persons, 60,000 items, and each item can have a rating, grouped-rating or partial-credit scale of up TypicalĪpplications include educational tests, psychological assessments,Īttitude surveys, patient performance protocols, and calibratingĪdaptive-test item banks. The developers of Winsteps use the programĭaily in their own work, and are continually adding new features asĪ result of their own experience and feedback from users. Practical and quick decisions along the path to constructingĮffective tests, and who must then communicate their results Winsteps is intended for practitioners who must make Measures can be fixed (anchored) at pre-set Rating scales can be recoded and items regrouped to share rating The working of rating scales can be examined thoroughly, and Powerfulĭiagnosis of multidimensionality through principal componentsĪnalysis of residuals detects and quantifies substructures in theĭata. Points are identified and reported in numerous ways. Of the items and persons can be examined in depth. Tool that facilitates exploration and communication. Paired comparisons and rank-order data can also beĪnalyzed. Item types that can be combined in one analysis includeĭichotomous, multiple-choice, and multiple rating-scale and partialĬredit items. It is straightforward to use in combination with other software. Users report that, after initial familiarization, Sets, usually of persons and items, using JMLE and CMLE. Winsteps constructs Rasch measures from simple rectangular data
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