Graph window 
From the Graphs menu,
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.
Category Probability Curves: (Probability Cat. Curves) modelbased probability of observing each category of the response structure at each point on the latent variable (relative to the item difficulty)
Empirical Category Curves: (Empirical Cat. Curves) databased relative frequencies of categories in each interval along the latent variable
Category Model and Empirical Curves: (Prob.+Empirical Cat. Curves) the modelbased and databased frequencies of each category.
Expected Score ICC shows the modelbased Item Characteristic Curve (or Item Response Function IRF) for the response structure.
Empirical ICC shows the databased empirical curve.
Cumulative Probabilities plot the modelbased sum of category probabilities. The category median boundaries are the points at which the probability is .5. Click on a line to obtain the category accumulation.
Conditional Probability Curves show the modelbased relationship between probabilities of adjacent categories. These follow dichotomous logistic ogives. Click on a line to obtain the category pairing.
Item Information Function plots the modelbased Fisher statistical information for the item. This is also the model variance of the responses, see RSA p. 100.
Category Information plots the modelbased item information partitioned according to the probability of observing the category. Click on a line to obtain the category number.
Test Information Function  this can be plotted with Excel.
Button or Slider 
Function 
Adjust maximum Yvalue 
Sets the maximum value on the vertical Yaxis 
Adjust Yaxis divisions 
Sets the number of tickmarks on the 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 program, such as Paint, and paste in the image for editing. 
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 Facets 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 
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+Empircal Option Curves 
Displays the Raschmodel probabilitycurve for each responseoption, together with the empirical curve summarizing the data in each empirical interval. 
Empirical OptionCurves 
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. 

Exp+Empirical ICC 
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 the testinformation function 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. 
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. 
Help 
Click on Help to display this page. 
Adjust minimum Xvalue 
Sets the minimum value on the horizontal Xaxis 
Finetune minimum Xvalue 
Makes small changes to the minimum value on the horizontal Xaxis 
Adjust Xaxis divisions 
Sets the number of tickmarks on the Xaxis 
Empirical divisions (slider) 
Sets the number of empirical summaryintervals on the Xaxis 
Empirical divisions (arrows) 
Makes small changes to the number of empirical summaryintervals on the Xaxis 
Finetune maximum Xvalue 
Makes small changes to the maximum value on the horizontal Xaxis 
Adjust maximum Xvalue 
Sets the maximum value on the horizontal Xaxis 
Curve selection Box 


ICC Selection Box 


Color Selection Box 

The probability curves will display. Graphs are plotted relative to the central difficulty of each item or scale group.
The buttons are:
Copy Plot to Clipboard places this plot on the clipboard as a graphic. Open a graphics program, such as Paint, and paste in the image for editing, or paste directly into a Word document.
Copy Plot Data to Clipboard places the plotted data on the clipboard. This can be pasted into an Excel worksheet so that you can use it to construct your own graphs.
Next Curve takes you to the curves for the next Group.
Previous Curve takes you to the curves for the previous Group.
Select Curves enables you to jump to the set of curves you want to see by clicking on the list that is displayed. Click on the desired curve.
Probability Cat. Curves plots the category probability curves according to the model. There is one curve for each category. They sum vertically to 1.0. Click on a line to obtain the category.
Empirical Cat. Curves plot the empirical category frequency points according to the data. The points are joined by lines for ease of viewing.
Prob.+Empirical Cat. Curves plots both the model and empirical category curves.
Expected Score ICC plots the modelexpected item characteristic curve, and the empirical one, shown by X. One curve is shown for each rating (or partial credit) scale.
Empirical ICC shows only the empirical, dataderived, item characteristic curve.
Exp+Empirical ICC plots both the modelexpected item characteristic curve, and the empirical, dataderived, curve, together with a confidence band for the empirical around the model curve.
The solid red "model" line is generated by the relevant Rasch model. For a test of dichotomous items, these red curves will be the same for every item with the same rating scale structure. The empirical blue line is constructed from the observed frequencies along the variable, marked by x. The empirical ("x") x and ycoordinates are the means of the measures and ratings for observations in the interval.
The upper green line (and the lower gray line) are at two model standard errors above (and below) the model "red line", i.e., form a twosided 95% confidence band. The distance of these lines from the red line is determined by the number of observations in the interval, not by their fit.
Cumulative Probabilities plot the sum of category probabilities. The category median boundaries are the points at which the probability is .5. Click on a line to obtain the category identification.
Conditional Probabilities plots the model ogives for adjacent pairs of categories. Click on a line to obtain the category pairing.
Information Function plots the Fisher statistical information for the item. This is also the model variance of the responses, see RSA p. 100.
Category Information plots the item information partitioned according to the probability of observing the category. Click on a line to obtain the category number.
Display Legend (Hide Legend) displays identification for all lines on the plot
Absolute xaxis displays the curves positioned on the latent variable, rather than relative to the element difficulty. Relative xaxis positions the curves relative to the element difficulty.
Points, Lines, None, Both controls display of the empirical curves.
Smoothing smooths the empirical curves.
Set color changes the color of the currently selected part of the plot.
Help displays this page.
The graphical display is controlled by:
Adjust or finetune minimum or maximum enables you to change the x and y scale ranges.
Adjust number of divisions enables you to change the number of x and y tick marks and labels.
Empirical interval sets the width of the interval on the latent variable summarized by each x on the empirical lines. Displays only when empirical lines are displayed.
On the plot:
Traceline: 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. 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.
Suggestion: If you need to copyandpaste several graphs into a document, automate the process with a Windows shortcut macro, such as Autohotkey.
Click on Close Box in upper right corner to close the Graphs menu.
Help for Facets Rasch Measurement Software: www.winsteps.com Author: John Michael Linacre.
For more information, contact info@winsteps.com or use the Contact Form
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Coming Raschrelated Events  

Jan. 5  Feb. 2, 2018, Fri.Fri.  Online workshop: Practical Rasch Measurement  Core Topics (E. Smith, Winsteps), www.statistics.com 
Jan. 1016, 2018, Wed.Tues.  Inperson workshop: Advanced Course in Rasch Measurement Theory and the application of RUMM2030, Perth, Australia (D. Andrich), Announcement 
Jan. 1719, 2018, Wed.Fri.  Rasch Conference: Seventh International Conference on Probabilistic Models for Measurement, Matilda Bay Club, Perth, Australia, Website 
Jan. 2224, 2018, MonWed.  Inperson workshop: Rasch Measurement for Everybody en español (A. Tristan, Winsteps), San Luis Potosi, Mexico. www.ieia.com.mx 
April 1012, 2018, Tues.Thurs.  Rasch Conference: IOMW, New York, NY, www.iomw.org 
April 1317, 2018, Fri.Tues.  AERA, New York, NY, www.aera.net 
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 
Sept. 3  6, 2018, Mon.Thurs.  IMEKO World Congress, Belfast, Northern Ireland www.imeko2018.org 
Oct. 12  Nov. 9, 2018, Fri.Fri.  Online workshop: Practical Rasch Measurement  Core Topics (E. Smith, Winsteps), www.statistics.com 
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