Book Image

Data Analysis with IBM SPSS Statistics

By : Ken Stehlik-Barry, Anthony Babinec
Book Image

Data Analysis with IBM SPSS Statistics

By: Ken Stehlik-Barry, Anthony Babinec

Overview of this book

SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.
Table of Contents (17 chapters)
4
Dealing with Missing Data and Outliers
10
Crosstabulation Patterns for Categorical Data

Weighting

Use the Weight command to give cases different weights for statistical analysis. Typically, the Weight variable brings about simulated case replication. For example, if a case has a weight of 5, it would be as if the case occurred five times in the data even though the case is physically a single record. You can use Weight to weight a sample up to a population, or you might use Weight to enter cell counts for an example table in a publication. If there is no explicit Weight variable, then the weight for each case is 1.

When SPSS Statistics reports the number of cases, it reports the weighted number of cases. With no explicit weight variable, the case weights are all 1 and the sum of the 1s equals the number of active rows. With an explicit Weight variable, the sum of the weights is the effective sample size, and in general is not equal to the number of rows.

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