Visual Approach to SPSS for Windows, A: A Guide to SPSS 17.0: Pearson New International Edition

Author:   Leonard Stern
Publisher:   Pearson Education Limited
Edition:   2nd edition
ISBN:  

9781292022574


Pages:   416
Publication Date:   13 August 2013
Format:   Paperback
Availability:   Available To Order   Availability explained
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Visual Approach to SPSS for Windows, A: A Guide to SPSS 17.0: Pearson New International Edition


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Overview

For courses on SPSS. SPSS is, essentially, a visually-driven program, but most texts rely primarily on a verbal approach to describe its use. A Visual Approach to SPSS for Windows is the first text of its kind to employ what the author refers to as ""visual sequencing"" to teach students how to use SPSS.

Full Product Details

Author:   Leonard Stern
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   2nd edition
Dimensions:   Width: 22.00cm , Height: 2.00cm , Length: 27.50cm
Weight:   0.898kg
ISBN:  

9781292022574


ISBN 10:   1292022574
Pages:   416
Publication Date:   13 August 2013
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface    Chapter 1: The Basics Chapter 2: Entering and Saving Data Chapter 3: Modifying Data in the Data Editor Chapter 4: Defining Variables’ Properties Chapter 5: The SPSS Statistics Viewer Chapter 6: Graphing Data with the Chart Builder   Chapter 7: Data Transformation and Case Selection  Chapter 8: The Frequencies Procedure Chapter 9: Other Procedures for Obtaining Descriptive Measures Chapter 10: Bivariate Correlation and Regression Chapter 11: Multiple Regression and Correlation Chapter 12: Chi-Square Tests of Independence and Goodness-of-Fit Chapter 13: One and Two Sample T-Tests Chapter 14: One-Way Analysis of Variance Chapter 15: Two-Way and Higher Order Analyses of Variance Chapter 16: Within-Subjects ANOVAS Chapter 17: Nonparametric or Distribution Free Tests Chapter 18: Discriminant Analysis Chapter 19: Exploratory Factor Analysis References Index

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