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WINSTEPS 4
項目反應理論軟體
Multiple-Choice, Rating Scale and Partial Credit Rasch Analysis
軟體代號:3285
瀏覽次數:2418
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Features

Output Tables
33 Tables, many with subtables, report all aspects of
the analysis: Person and item scores, measures,
standard errors, quality-control fit statistics, summary
statistics, reliabilities, subtotals, individual reporting,
differential item functioning, rating scale functioning,
score-to-measure conversion, Guttman scalograms,
paired-comparisons, and more

Output Files & Excel Plots
16 output files for exporting measures, standard
errors, quality-control fit statistics as EXCEL, SPSS
or text files for input to other software. Immediate
display, if desired. Here is a “Bond & Fox”-style
Bubble Chart automatically displayed by Excel.

Differential Item Functioning
Detailed Tables and Plots of uniform and non-uniform
DIF size and significance. Also Mantel-Haenszel and
Mantel statistics. Differential Person functioning and
Differential Person-group vs. Item-group functioning.

Principal components analysis of
residuals for multidimensionality
of persons or items. Reporting of unexpected
observations helps identify problems in the data or
instrument conceptualization.
Also: Multiple concurrent analyses. Batch mode
operation. Frequent enhancements (free for a year).
Training seminars. Need an extra feature? Tell us!

Help Feature
Full user documentation and many examples in the
Help file of the 140 user options. Detailed
descriptions of every output table. 50 technical
“special topics” address operational, analytical and
interpretive issues. Free downloadable PDF of
Program Manual.
Bond & Fox examples on winsteps.com

Constructs linear measures
from ordinal data:
Multiple-choice tests, dichotomies, attitude surveys,
rating scales, observational protocols, partial credit
items, answer keys, item rescoring.
Missing data: no problem!
Capacity: Huge! 9,999,999 persons, 30,000 items,
(dichotomies, rating scales and/or partial credit), up
to 255 categories per scale.

Excel, SAS, SPSS, STATA import
Easy conversion to Winsteps control and data files
using copy-and-paste procedure.

What is being measured?
Construct validity: defining the latent variable
items ordered: from frequent to rare, from easy to
hard, from loved to hated. Item anchoring and
weighting, tabular and graphical output. Estimates
of item discrimination and guessability.

Who or What has been measured?
Predictive validity, Concurrent validity,
Achievement, Attitude, Quality of Life: Who has
more and who has less? Standard errors for
significant differences. Person anchoring and
weighting. Differential person function reporting.
Subtotaling by demographic variables

Are Items and Rating Scales functioning
as intended?
Empirical and model item characteristic curves.
(ICCs) with confidence bands for individual items
or all items which share the same scale structure.
Category probability curves. Test, item and category
information functions. Test characteristic curve.
Detailed statistics for each category: counts,
measures, and quality-control fit statistics. Re-order
and collapse categories. Remedy keying errors and
reversed items. Multiple-choice scoring keys.
Multiple ICCs on one graph.