Graphs window

Standard 32-bit Graph Display

Enhanced 64-bit Graph Display

 

Button or Slider

Function

Graph Box

Standard or Enhanced - see Graphs menu

Title

Item entry number and label, or depends on type of graph

y-axis label and units

depends on type of graph

x-axis label

"Measure", person measures

"Measure relative to item difficulty", (person measures - item difficulty)

To switch from "Measure" to "Measure relative to item difficulty", click the blue button "Relative x-axis"

To switch from "Measure relative to item difficulty" to "Measure", click the blue button "Absolute x-axis"

x-axis units

logits or user-scaled units

legend below x-axis label

displayed when blue "Display Legend" button is clicked

32-bit: curve label

click once on curve

32-bit: hide curve

double-click on curve. If all curves are hidden, then they are all re-displayed.

Right-hand side:

Maximum y-value

Sets the maximum value on the vertical y-axis. Can be adjusted with slider, up-down arrows, or value in text box.

Copy Plot to R Statistics

One-click! launches R Statistics and displays the plot.

Copy Plot to Clipboard

 

For better quality, see

32-bit: Graphs Window - bottom right

64-bit: drag bottom-right green arrow larger

Copies the graph to the Windows clipboard. This only copies the part of the plot that is visible on your screen. Maximize the chart window and increase your screen resolution if the entire plot is not visible. To increase screen resolution: Windows "Start", "Settings", "Control Panel", "Display", "Settings" and move the "Screen resolution" slider to the right.

Open a graphics or word-processing program, such as Paint or Word, or install the freeware: Irfanview.Then paste in the image for editing. To save the graphics plot in black-and-white, "Save As", "Black-and-white". For more options, see www.techjunkie.com/save-clipboard-image-as-jpg-png/

Copying many similar graphs can be expedited with a keyboard macro, such as autohotkey: www.autohotkey.com

Copy Data to Clipboard

Copies the graphed numbers to the Windows clipboard (for pasting into Excel, etc.) Use paste special to paste as a picture meta-file, bitmap or as a text listing of the data points.

Each row corresponds to a set of points to plot:

Column A - ignore (internal row identifier)

Column B - x-axis for point on first curve: measure relative to item difficulty or relative to latent variable

Column C - y-axis for point on first curve: probability, expected score, etc.

Column D - x-axis for point on second curve: measure relative to item difficulty or relative to latent variable

Column E - y-axis for point on second curve: probability, expected score, etc.

etc.

Scatterplot:

Column C (y-axis) against Column B (x-axis)

Column E (y-axis) against Column D (x-axis)

etc.

Combined plots: the curves on two or more Winsteps graphs can be combined into one Excel plot using "Copy Data" from the different graphs into one Excel worksheet.

Next Curve

Displays the same graph for the item with the next higher entry number.

Non-Uniform DIF

Displays the Rasch-model curve for the item and the empirical DIF curves for the DIF classifications groups when "Non-uniform DIF" is clicked on the Graphs Menu,

Previous Curve

Displays the same graph for the item with the next lower entry number.

Select Curves

Displays the graph for the selected item from the curve-selection-box:

Probability Cat. Curves

Displays the Rasch-model probability-curve for each response-category

Conditional Probabilities

Displays the Rasch-model probability-curve for the relative probability of each adjacent pair of categories. These are dichotomous ogives.

Prob+Empirical Cat. Curves

Displays the Rasch-model probability-curve for each response-category, together with the empirical curve summarizing the data in each empirical interval.

Empirical Cat. Curves

Displays the empirical curve for each response-category, summarizing the data in each empirical interval

Prob+Empirical Option Curves

Displays the Rasch-model probability-curve for each response-option, together with the empirical curve summarizing the data in each empirical interval.

Empirical Option-Curves

Displays the empirical curve for each response-option, summarizing the data in each empirical interval

Expected Score ICC

Displays the expected-score item characteristic curve, the item's Rasch-model logistic ogive.

Empirical Randomness

Displays the fit of the item, summarizing the data in each empirical interval

Exp+Empirical ICC

Expected + Empirical ICC

Displays the expected-score item characteristic curve, the item's Rasch-model logistic ogive, together with the empirical ICC summarizing the data in each empirical interval.

Empirical ICC

Displays the item's empirical item characteristic curve, summarizing the data in each empirical interval.

Cumulative Probabilities

Displays the Rasch-model cumulative probability-curve for each response-category and the categories below it.

Click on the "Flip Curves Vertically" button for the probability of each category and the categories above it.

Cumulative Thresholds

Display the probabilities of all categories up to and including each category, and also the probabilities of all the categories above each category. The curves cross on the 0.5 probability line at the cumulative threshold (Rasch-Thurstonian threshold)

Item Information

Displays the item-information function according to the Rasch model.

Category Information

Displays the information function for each category according to the Rasch model.

Multiple Item ICCs

Displays multiple Rasch-model and empirical item characteristic curves as selected in the ICC-selection box.

Test Randomness

Displays the fit of all the items in the test,  summarizing the data in each empirical interval

Test CC

Displays the Rasch-model test characteristic curve (TCC), showing the relationship between raw scores and Rasch measures on the complete test of all active items.

Test Information

Displays the Test-Information Function (TIF) according to the Rasch model. The inverse square-root of the test information is the standard error of the Rasch person measure.

Enhanced: Resize Margins

Changes the left-side margin and the legend height, so they can be better displayed

Enhanced: Customize Curves

Hide unwanted curves and change colors of the curves

Standard: Click on line for description

Click on a curve to show its description below the graph. You can identify an individual traceline by single-left-clicking on it. Its description will then appear below the plot. Click elsewhere on the plot to remove the selection indicators.

Standard: Double-click to erase line

You can remove a traceline by double-left-clicking on it. Click on the command button, e.g., "Probability Curves", to return the plot to its initial appearance.

Display Legend

Hide Legend

Click on "Display legend" to show descriptions of all the curves below the graph.

Click on "Hide legend" to remove the descriptions.

Absolute x-axis

Relative x-axis

Click on "Absolute x-axis" to show the graphs with measures (or raw scores) on the latent variable along the x-axis.

Click on "Relative x-axis" to show the graphs with the x-axis plotted relative to the item difficulty.

Multiple Item ICCs shows what happens for these two choices

Flip Curves Vertically

Reverses the cumulative probability curves on the y-axis

Points, Lines, None, Both

Click on this button to show the empirical curves as both points("x") and lines, points only, lines only, and neither points nor lines.

Adjust minimum Y-value

Sets the minimum value on the vertical y-axis

Smoothing

Controls the degrees of smoothing of the empirical curve (jagged with "x")

Set Color

Click on a curve to select it, the click on "Set Color" to change its color using the color-selection-box. White makes the line disappear.

Help

Click on Help to display this page.

Across the bottom: left to right

y-axis divisions

Sets the number of tick-marked intervals on the y-axis

Minimum x-value

Sets the minimum value on the horizontal x-axis. To decrease the minimum possible X-value, set EXTREMESCORE= to a small value.

x-axis divisions

Sets the number of tick-marked intervals on the x-axis.

Enhanced: zero (0) automatically assigns x-axis divisions

Empirical interval

Sets the number of empirical summary-intervals on the X-axis. Each observation, Xni, has an observed (empirical) value, such as 0 or 1 for a dichotomy, and also a measure on the rating scale = Ability of person n - Difficulty of item i.

These observations are summarized into empirical intervals on the latent variable. Each summary is plotted as the mean of the observed values in the interval (y-axis) and the mean of the measures (x-axis). The maximum size of the interval is from the lowest measure for any observation to the highest measure for an observation. The minimum size of the interval is .01 logits. The difference between the maximum size and the minimum size is divided into roughly 100 increments. Using the empirical interval slider, or left-right arrows, changes the size of the interval. The current size of the interval is shown in "Empirical x.xx Interval" The 1-200 number of the empirical slider is a rough indicator of relative size, and can be ignored.

Smoothing

Smooths the empirical line, which is a series of points joined by line segments. Winsteps uses "cubic spines" for smoothing functions.

Maximum x-value

Sets the maximum value on the horizontal X-axis. To increase the maximum possible X-value, set EXTREMESCORE= to a small value.

 

Curve selection Box

This box displays the item entry numbers and labels. Click on the item which you want displayed.

ICC Selection Box

To select the curves: click on the cells and they will turn green to indicate which curves are selected for display.

Then click OK to display the curves.

Color Selection Box

Click on desired background color, and the OK


Help for Winsteps Rasch Measurement and Rasch Analysis Software: www.winsteps.com. Author: John Michael Linacre

Facets Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation Minifac download
Winsteps Rasch measurement software. Buy for $149. & site licenses. Freeware student/evaluation Ministep download

Rasch Books and Publications
Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, 2nd Edn, 2024 George Engelhard, Jr. & Jue Wang Applying the Rasch Model (Winsteps, Facets) 4th Ed., Bond, Yan, Heene Advances in Rasch Analyses in the Human Sciences (Winsteps, Facets) 1st Ed., Boone, Staver Advances in Applications of Rasch Measurement in Science Education, X. Liu & W. J. Boone Rasch Analysis in the Human Sciences (Winsteps) Boone, Staver, Yale
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes Statistical Analyses for Language Testers (Facets), Rita Green Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments (Facets), George Engelhard, Jr. & Stefanie Wind Aplicação do Modelo de Rasch (Português), de Bond, Trevor G., Fox, Christine M Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind Rasch Measurement: Applications, Khine Winsteps Tutorials - free
Facets Tutorials - free
Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan
Other Rasch-Related Resources: Rasch Measurement YouTube Channel
Rasch Measurement Transactions & Rasch Measurement research papers - free An Introduction to the Rasch Model with Examples in R (eRm, etc.), Debelak, Strobl, Zeigenfuse Rasch Measurement Theory Analysis in R, Wind, Hua Applying the Rasch Model in Social Sciences Using R, Lamprianou El modelo métrico de Rasch: Fundamentación, implementación e interpretación de la medida en ciencias sociales (Spanish Edition), Manuel González-Montesinos M.
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch Rasch Models for Measurement, David Andrich Constructing Measures, Mark Wilson Best Test Design - free, Wright & Stone
Rating Scale Analysis - free, Wright & Masters
Virtual Standard Setting: Setting Cut Scores, Charalambos Kollias Diseño de Mejores Pruebas - free, Spanish Best Test Design A Course in Rasch Measurement Theory, Andrich, Marais Rasch Models in Health, Christensen, Kreiner, Mesba Multivariate and Mixture Distribution Rasch Models, von Davier, Carstensen
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facebook Forum: Rasch Measurement Forum to discuss any Rasch-related topic

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Rasch, Winsteps, Facets online Tutorials


 

 
Coming Rasch-related Events: Winsteps and Facets
Oct 21 - 22 2024, Mon.-Tues. In person workshop: Facets and Winsteps in expert judgement test validity - UNAM (México) y Universidad Católica de Colombia. capardo@ucatolica.edu.co, benildegar@gmail.com
Oct. 4 - Nov. 8, 2024, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
Jan. 17 - Feb. 21, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
May 16 - June 20, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com
June 20 - July 18, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Further Topics (E. Smith, Facets), www.statistics.com
Oct. 3 - Nov. 7, 2025, Fri.-Fri. On-line workshop: Rasch Measurement - Core Topics (E. Smith, Winsteps), www.statistics.com

 

 

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