Graph window 
If you don't see all this on your screen, you may have your screen resolution set to 800 x 600 pixels. Try setting it to 1024 x 768. Windows "Start", "Settings", "Control Panel", "Display", "Settings", Move "Screen resolution" slider to the right.
Button or Slider 
Function 
Graph Box 

Title 
Item entry number and label, or depends on type of graph 
yaxis label and units 
depends on type of graph 
xaxis 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 xaxis" To switch from "Measure relative to item difficulty" to "Measure", click the blue button "Absolute xaxis" 
xaxis units 
logits or userscaled units 
legend below xaxis label 
displayed when blue "Display Legend" button is clicked 
curve label 
click once on curve 
hide curve 
doubleclick on curve. If all curves are hidden, then they are all redisplayed. 
Righthand side: 

Adjust maximum Yvalue 
Sets the maximum value on the vertical Yaxis 
Copy Plot to Clipboard 
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 wordprocessing program, such as Paint or Word, and paste in the image for editing. To save the graphics plot in blackandwhite, "Save As", "Blackandwhite". 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 metafile, 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  xaxis for point on first curve: measure relative to item difficulty or relative to latent variable Column C  yaxis for point on first curve: probability, expected score, etc. Column D  xaxis for point on second curve: measure relative to item difficulty or relative to latent variable Column E  yaxis for point on second curve: probability, expected score, etc. etc. Scatterplot: Column C (yaxis) against Column B (xaxis) Column E (yaxis) against Column D (xaxis) 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. 
Select Curves 
Displays the graph for the selected item from the curveselectionbox: 
Previous Curve 
Displays the same graph for the item with the next lower entry number. 
Probability Cat. Curves 
Displays the Raschmodel probabilitycurve for each responsecategory 
Displays the Raschmodel curve for the item and the empirical DIF curves for the DIF classifications groups when "Nonuniform DIF" is clicked on the Graphs Menu, 

Prob+Empirical Cat. Curves 
Displays the Raschmodel probabilitycurve for each responsecategory, together with the empirical curve summarizing the data in each empirical interval. 
Displays the empirical curve for each responsecategory, summarizing the data in each empirical interval 

Prob+Empirical Option Curves 
Displays the Raschmodel probabilitycurve for each responseoption, together with the empirical curve summarizing the data in each empirical interval. 
Displays the empirical curve for each responseoption, summarizing the data in each empirical interval 

Displays the expectedscore item characteristic curve, the item's Raschmodel logistic ogive. 

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

Displays the expectedscore item characteristic curve, the item's Raschmodel logistic ogive, together with the empirical ICC summarizing the data in each empirical interval. 

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

Displays the Raschmodel cumulative probabilitycurve for each responsecategory and the categories below it. 

Displays the Raschmodel probabilitycurve for the relative probability of each adjacent pair of categories. These are dichotomous ogives. 

Displays the iteminformation function according to the Rasch model. 

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

Displays multiple Raschmodel and empirical item characteristic curves as selected in the ICCselection box. 

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

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

Displays the TestInformation Function (TIF) according to the Rasch model. The inverse squareroot of the test information is the standard error of the Rasch person measure. 

Click on line for description 
Click on a curve to show its description below the graph. You can identify an individual traceline by singleleftclicking on it. Its description will then appear below the plot. Click elsewhere on the plot to remove the selection indicators. 
Doubleclick to erase line 
You can remove a traceline by doubleleftclicking 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 xaxis Relative xaxis 
Click on "Absolute xaxis" to show the graphs with measures on the latent variable along the xaxis. Click on "Relative xaxis" to show the graphs with the xaxis 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 yaxis 
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 Yvalue 
Sets the minimum value on the vertical Yaxis 
Smoothing 
Controls the degrees of smoothing of the empirical curve 
Set Color 
Click on a curve to select it, the click on "Set Color" to change its color using the colorselectionbox. White makes the line disappear. 
Help 
Click on Help to display this page. 
Across the bottom: left to right 

Adjust Yaxis divisions 
Sets the number of tickmarks on the Yaxis 
Adjust minimum Xvalue 
Sets the minimum value on the horizontal Xaxis. To decrease the minimum possible Xvalue, set EXTREMESCORE= to a small value. 
Adjust Xaxis divisions 
Sets the number of tickmarks on the Xaxis 
Empirical interval 
Sets the number of empirical summaryintervals on the Xaxis. 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 (yaxis) and the mean of the measures (xaxis). 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 leftright arrows, changes the size of the interval. The current size of the interval is shown in "Empirical x.xx Interval" The 1200 number of the empirical slider is a rough indicator of relative size, and can be ignored. 
Adjust maximum Xvalue 
Sets the maximum value on the horizontal Xaxis. To increase the maximum possible Xvalue, set EXTREMESCORE= to a small value. 
Curve selection Box 


ICC Selection Box 


Color Selection Box 

Help for Winsteps Rasch Measurement Software: www.winsteps.com. Author: John Michael Linacre
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Coming Winsteps & Facets Events  

May 22  24, 2018, Tues.Thur.  EALTA 2018 preconference workshop (Introduction to Rasch measurement using WINSTEPS and FACETS, Thomas Eckes & Frank WeissMotz), https://ealta2018.testdaf.de 
May 25  June 22, 2018, Fri.Fri.  Online 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.  Online workshop: Practical Rasch Measurement  Further Topics (E. Smith, Winsteps), www.statistics.com 
July 25  July 27, 2018, Wed.Fri.  PacificRim Objective Measurement Symposium (PROMS), (Preconference workshops July 2324, 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.  Online workshop: ManyFacet Rasch Measurement (E. Smith, Facets), www.statistics.com 
Oct. 12  Nov. 9, 2018, Fri.Fri.  Online workshop: Practical Rasch Measurement  Core Topics (E. Smith, Winsteps), www.statistics.com 
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