Applied Statistics with SPSS / Edition 1

Applied Statistics with SPSS / Edition 1

by Eelko K R E Huizingh
ISBN-10:
1412919312
ISBN-13:
9781412919319
Pub. Date:
02/22/2007
Publisher:
SAGE Publications
ISBN-10:
1412919312
ISBN-13:
9781412919319
Pub. Date:
02/22/2007
Publisher:
SAGE Publications
Applied Statistics with SPSS / Edition 1

Applied Statistics with SPSS / Edition 1

by Eelko K R E Huizingh

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Overview

Accessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. What is unique about Eelko Huizingh's approach is that this book is based around the needs of undergraduate students embarking on their own research project, and its self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms, and worked examples.

Product Details

ISBN-13: 9781412919319
Publisher: SAGE Publications
Publication date: 02/22/2007
Edition description: New
Pages: 368
Product dimensions: 7.32(w) x 9.13(h) x (d)

About the Author

Eelko Huizingh teaches in two master trajects of the MSc BA programme of the faculty of Economics and Business. These trajects are Business Development and Marketing. He is coordinator of the Business Development traject, supervisor of Masters and Ph D students, and teaches in executive programs for managers with backgrounds in sales, marketing and R&D for the AOG School of Management.

Table of Contents

PART ONE: LEARNING TO WORK WITH SPSS
Background to SPSS for Windows
The Use of SPSS in Statistical Research
From Data Source to Data File
Session 1
The First Steps
Session 2
Charts and Computations
Session 3
Performing Statistical Analyses
PART TWO: WORKING WITH SPSS AND DATA ENTRY
Designing and Conducting Questionnaires with Data Entry
Creating a Data File
Computation and Classification of Variables
Selecting, Sorting and Weighting Cases
Merging, Aggregating and Transposing Data Files
Describing Your Data
Charts
Crosstables
Analyzing Multiple Responses
Describing Groups and Testing the Differences
Analysis of Variance
Correlation and Regression
Non-parametric Tests
Customising SPSS
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