This document provides instructions for grouping ungrouped data into frequency tables using SPSS and for creating an if condition to define groups. It describes how to use the "visual binning" function under "transform" to create cut points and classes for the data. It then explains how to display the frequency table of the binned variable. It also outlines the steps to use the "compute" and "if" functions to create a new variable that assigns cases to groups based on meeting specified conditions.

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Prepared by
Md Monirul Islam
URPD, Khulna University
130435
SPSS GUIDELINE:
Grouping ungrouped data: (frequency table)
 Click transform from the tool bar
I. Then click “visual binning”
Then transform the cases to binning box .Then click “continue”
 Then write a name in binned variable box.
(there appears minimum and maximum value below the binned box)
 Then click make cut point. Give a value in number of cut point box (this is the number of class you
want, if you want 10 classes give a value of 9)
 In the width box you have to put a value. ((Maximum value – minimum value)/number of classes),
“here 10”
 Click the first cutpoint location (it will automatically get a value)
 Click apply
 Click make level
 Click „Ok‟
 Click „Ok‟ (a box will appear, now click analyze in the tool box of this box , Descriptive
statistics frequencies.
 Then transform the new variable (at the below of the series) in the variable box.
 Ticked on “display frequency table” (this contains near the below)

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 Click ok.
If condition
 Click “Transform”
 Click “Compute”
(The following Compute Variable dialog box will appear)

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 In the box labeled, “Target Variable” give a name to the new variable you want to create.
In the box labeled, “Numeric Expression” type 1 and Click “If...”
This will enable you to define your first group. The following Compute Variable: If Cases dialog
box will appear
Click “Include if case satisfies condition:”
In the box to the right, type a description of your first group. In the above example, the first group
(Masculine) is made up of subjects with scores above the median=28 on Masculinity, and scores at or
below the median=26 on Femininity.
Click “Continue”
Click on “OK”
You will be back to the Compute Variable dialog box.
Click on “OK”
A dialogue box asking whether you want to change the variable or not will appear.
Click on "OK"