By Eric L. Einspruch
An Introductory advisor to SPSS® for Windows®, moment Edition develops SPSS talents utilizing pattern courses illustrating the way to behavior the analyses ordinarily lined in an introductory records direction. in the course of the publication, info are analyzed and SPSS output are interpreted within the context of study questions. Boldface textual content is used to point operations or offerings the reader might want to make while working SPSS. workouts also are incorporated, with ideas supplied within the appendix. This Second version has been up to date to SPSS model 12.0, and comprises new SPSS positive aspects, together with how one can recode info utilizing the visible Bander and the way to learn textual content information utilizing the textual content Import Wizard.
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Additional info for An Introductory Guide to SPSS for Windows
Sgt), run the Frequencies procedure for another variable (for example, “Community Type”) and then double-click the chart to open the Chart Editor window. Next, from the File pull-down menu, select Apply Chart Template . . sgt,” and click the Open button to apply to template to the new chart. Now close the Chart Editor window and return to the Viewer window. DESIGNATING A WINDOW SPSS allows you to have more than one output window open at a time. ) window, from the File pulldown menu, select New, and then Output.
Qxd 38 2/14/2005 12:58 PM Page 38 An Introductory Guide to SPSS for Windows New Value box, enter a “1” for the value, and click the Add button. Continue for the remaining groups of ranges (the last one will assign the values “90” through “100” to group number “9”). If you make a mistake along the way, you can correct it by using the Change and Remove buttons. Once you have completed defining the groups, click the Continue button. You will return to the previous dialog box. If you now click the OK button, the new variable will be created.
Because no cases in this example have missing data, the two columns (“Percent” and “Valid Percent”) show identical results. The fourth column shows the cumulative percentage for the frequency distribution. The rest of the output is similar in format and shows the results for the other variables. ” Among the students, 42% indicated that they were Catholic, 40% indicated that they were Protestant, and 18% indicated that they were Jewish. In terms of gender, 56% of the students were male, and 44% were female.