You're reading from Data Analysis with IBM SPSS Statistics

Product typeBook

Published inSep 2017

PublisherPackt

ISBN-139781787283817

Edition1st Edition

Tools

IBM SPSS

Concepts

Predictive Analytics

Authors (2):

Ken Stehlik-Barry

Anthony Babinec

View More author details

Explore procedure

To thoroughly examine the distribution of scale or interval level fields, you can employ the explore procedure in SPSS Statistics. The output provided by explore is more detailed than descriptives or frequencies, and includes more information on extreme values that may influence statistical measures in an undesirable manner. Navigate to Analyze | Descriptive Statistics | Explore to open the dialog box in the following figure and put the HIGHEST YEAR OF SCHOOL COMPLETED field in the upper box labeled Dependent List. Select OK to request the default output that explore generates:

The first section of results produced by Explore contains a set of descriptive statistics related to the distribution of the values. In addition to the mean, a 5% trimmed mean is calculated to show how removing the top and bottom 2.5% of the values influences the mean.

If the mean...

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Data Analysis with IBM SPSS Statistics

Published in: Sep 2017Publisher: PacktISBN-13: 9781787283817

Authors (2)

Ken Stehlik-Barry

Kenneth Stehlik-Barry, PhD, joined SPSS as Manager of Training in 1980 after using SPSS for his own research for several years. Working with others at SPSS, including Anthony Babinec, he developed a series of courses related to the use of SPSS and taught these courses to numerous SPSS users. He also managed the technical support and statistics groups at SPSS. Along with Norman Nie, the founder of SPSS and Jane Junn, a political scientist, he co-authored Education and Democratic Citizenship. Dr. Stehlik-Barry has used SPSS extensively to analyze data from SPSS and IBM customers to discover valuable patterns that can be used to address pertinent business issues. He received his PhD in Political Science from Northwestern University and currently teaches in the Masters of Science in Predictive Analytics program there.
Read more about Ken Stehlik-Barry

Anthony Babinec

Anthony J. Babinec joined SPSS as a Statistician in 1978 after assisting Norman Nie, SPSS founder, in a research methods class at the University of Chicago. Anthony developed SPSS courses and trained many SPSS users. He also wrote many examples found in SPSS documentation and worked in technical support. Anthony led a business development effort to find products implementing then-emerging new technologies such as CHAID decision trees and neural networks and helped SPSS customers successfully apply them. Anthony uses SPSS in consulting engagements and teaches IBM customers how to use its advanced features. He received his BA and MA in Sociology with a specialization in Advanced Statistics from the University of Chicago and teaches classes at the Institute for Statistics Education. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has served in different positions including President.
Read more about Anthony Babinec

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