Applied Statistics with SPSS

Name: Applied Statistics with SPSS
Price: 19.09 USD
Availability: InStock
ISBN: 9781412919319

ISBN-10: 1412919312

ISBN-13: 9781412919319

Edition: 2007

Authors: Eelko K. R. E. Huizingh

List price: $81.00

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Description:

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 Huizinghs 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. Divided into three parts, Applied Statistics Using SPSS covers: A self-study guide for learning how to use SPSS…

Book details

List price: $81.00
Copyright year: 2007
Publisher: SAGE Publications, Limited
Publication date: 2/22/2007
Binding: Paperback
Pages: 368
Size: 7.40" wide x 9.25" long x 0.75" tall
Weight: 1.430
Language: English

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 PhD students, and teaches in executive programs for managers with backgrounds in sales, marketing and R&D for the AOG School of Management.




Learning to Work With Spss


Background to SPSS for Windows


The Use of SPSS in Statistical Research


From Data Source to Data File



The First Steps



Charts and Computations



Performing Statistical Analyses



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