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SPSS: Stats Practically Short and Simple

SPSS: Stats Practically Short and Simple
4.4 (29 reviews) Read reviews
ISBN: 978-87-7681-474-8
1 edition
Pages : 87
Price: Free

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Summary

This textbook is for people who want to know how to use SPSS for analysing data, who want practical help in as short a time as possible.

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About the book

  1. Description
  2. Content
  3. About the Author
  4. Embed

Description

This textbook is for people who want to know how to use SPSS for analysing data, who want practical help in as short a time as possible. The author has considerable experience in teaching many such people and assumes they know the basics of statistics but nothing about SPSS, or as it is now known, PASW.

Content

1. An Overview
Getting In
Frequencies
Exporting your Output to Word
Drawing charts
Exercise
Moving Around

2. Entering Data
Introduction
Entering Data directly
Defining Variables
Adjusting the width
Variable names
Entering data via a spreadsheet
Adding Variable Labels
Adding Value Labels
Important note
Finally


3. Editing and Handling Data
Correcting entries
Deleting entries
Copying cells, columns and rows
Inserting a variable (a column)
Inserting a case (a row)
Moving columns
Sorting data
Saving data and output
Exporting Output
Saving Data as an Excel file
Copying tables and charts into Word
Printing from SPSS
Recoding into groups
Revision exercise
Doing Calculations on Variables
Selecting a subset
Selecting a Random Sample
Merging Files
Adding Variables
Adding cases


4. Descriptive Statistics
The Functions
Finding Frequencies for Multiple Response Variables
Tables are tricky!


5. Charts
Introduction
A Simple Bar Chart
A clustered bar chart
Percentage Clustered Bar Chart using Legacy Dialogs
With correct labels!
A stacked % bar chart
Drawing a panel bar chart
Drawing a bar chart of more than one variable
Drawing a pie chart
Histogram
Boxplots


6. Regression and Correlation
Introduction
Scatter Diagrams
Correlation
Correlation and Causation
Regression
Multiple Regression

7. Statistical Tests
The One-Sample T test
The Chi-Squared Test for contingency tables
t-test for related samples
t-test for the differences in the Means of independent samples
Analysis of Variance
Non-Parametric Tests
Wilcoxon Signed-Ranks test for paired samples


8. And finally

About the Author

Author's website
http://www.coventry.ac.uk/ec/%7Estyrrell/

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