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E-grāmata: Applied Statistics with SPSS

  • Formāts: 368 pages
  • Izdošanas datums: 24-Jan-2007
  • Izdevniecība: SAGE Publications Inc
  • Valoda: eng
  • ISBN-13: 9781446223000
  • Formāts - EPUB+DRM
  • Cena: 54,72 €*
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  • Formāts: 368 pages
  • Izdošanas datums: 24-Jan-2007
  • Izdevniecība: SAGE Publications Inc
  • Valoda: eng
  • ISBN-13: 9781446223000

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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. Based around the needs of undergraduate students embarking on their own research project, the texts self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of doing their research project.

The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms and worked examples. Divided into two parts, Applied Statistics Using SPSS covers :





1. A self-study guide for learning how to use SPSS.

2. A reference guide for selecting the appropriate statistical technique and a stepwise do-it-yourself guide for analysing data and interpreting the results.

3. Readers of the book can download the SPSS data file that is used for most of the examples throughout the book.

Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.
Preface vii
Part I Learning to work with SPSS
1(118)
Background to SPSS for Windows
3(3)
The use of SPSS in statistical research
6(18)
From data source to data file
24(9)
Session 1: The first steps
33(23)
Session 2: Charts and computations
56(26)
Session 3: Performing statistical analyses
82(37)
Part II Working with SPSS and Data Entry
119(233)
Designing and conducting questionnaires with Data Entry
121(23)
Creating a data file
144(12)
Computation and classification of variables
156(26)
Selecting, sorting and weighting cases
182(9)
Merging, aggregating and transposing data files
191(14)
Describing your data
205(15)
Charts
220(25)
Crosstables
245(9)
Analysing multiple responses
254(6)
Describing groups and testing the differences
260(17)
Analysis of variance
277(13)
Correlation and regression
290(29)
Non-parametric tests
319(27)
Customising SPSS
346(6)
Index 352


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.