Applied Statistics with SPSS - Huizingh, Eelko K R E

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Résumé :
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 text's 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 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.

Biographie:
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.

Sommaire:
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