By Dr. Eric L. Einspruch
An Introductory advisor to SPSS® for Windows®, moment version develops SPSS talents utilizing pattern courses illustrating how you can behavior the analyses more often than not coated in an introductory data path. through the e-book, information 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 integrated, with recommendations supplied within the appendix. This moment version has been up-to-date to SPSS model 12.0, and contains new SPSS positive aspects, together with find out how to recode facts utilizing the visible Bander and the way to learn textual content facts utilizing the textual content Import Wizard.
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Extra resources for An Introductory Guide to SPSS® for Windows, Second Edition
12. 12 Partial Results From Frequencies Procedure These results include the frequency of cases that responded with each value of the variable, followed by the percentage of cases, the valid percentage of cases, and the cumulative percentage of cases. Thus, in the “Frequency” column, we see that 13 students indicated that they were “Not willing” to spend extra hours studying, 23 students were “Undecided,” and 14 students were “Willing” to spend extra hours studying. Next, there are three columns of percentages.
Notice that the Visual Bander has created the desired values for the new variable. Now click the Make Labels button and the Visual Bander automatically assigns labels to the new values. If you do not like the new values or their labels, simply click on the box you wish to edit. 7. qxd 42 2/14/2005 12:59 PM Page 42 An Introductory Guide to SPSS for Windows Click the OK button, and when prompted that “Banding specifications will create 1 variable,” click the OK button to create the new variable. Look at the Data Editor to see that the new variable has been created (you will see each case’s value for the variable if you click the “Data View” tab, and you will see the name, label, and other characteristics of the variable if you click the “Variable View” tab).
For example, if two cases had missing data, then these two cases would be excluded from the analysis and the percentage in each category of student motivation would be based on 48 cases. 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.