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Data Analysis with IBM SPSS Statistics

You're reading from   Data Analysis with IBM SPSS Statistics Implementing data modeling, descriptive statistics and ANOVA

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787283817
Length 446 pages
Edition 1st Edition
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Authors (2):
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Ken Stehlik-Barry Ken Stehlik-Barry
Author Profile Icon Ken Stehlik-Barry
Ken Stehlik-Barry
Anthony Babinec Anthony Babinec
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Anthony Babinec
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Toc

Table of Contents (17) Chapters Close

Preface 1. Installing and Configuring SPSS 2. Accessing and Organizing Data FREE CHAPTER 3. Statistics for Individual Data Elements 4. Dealing with Missing Data and Outliers 5. Visually Exploring the Data 6. Sampling, Subsetting, and Weighting 7. Creating New Data Elements 8. Adding and Matching Files 9. Aggregating and Restructuring Data 10. Crosstabulation Patterns for Categorical Data 11. Comparing Means and ANOVA 12. Correlations 13. Linear Regression 14. Principal Components and Factor Analysis 15. Clustering 16. Discriminant Analysis

Accessing and Organizing Data

This chapter shows you how to read common file formats such as an Excel sheet or a delimited text file to IBM SPSS Statistics. The rationale for showing the reading of these formats is that most software programs read these file formats. In addition, many analysts use Excel for simple data activities such as data handling and producing charts. However, beyond these simple activities, Excel is limited in the data analytic capabilities it provides, so researchers have turned to IBM SPSS Statistics for its extensive statistical and analytical capabilities.

In order to use IBM SPSS Statistics, you must first read your data to the IBM SPSS Statistics Data Editor window. Once you successfully read the data, you provide variable properties to enrich the description of the data. After you have established the variable properties for the variables in your...

You have been reading a chapter from
Data Analysis with IBM SPSS Statistics
Published in: Sep 2017
Publisher: Packt
ISBN-13: 9781787283817
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