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Informationen zum Autor 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. Klappentext 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. Zusammenfassung A self-study guide to SPSS which contains screen dumps and exercises! glossary terms and worked examples. It covers a guide for learning how to use SPSS and a reference guide for selecting the appropriate statistical technique and a do-it-yourself guide for analysing data and interpreting the results. Inhaltsverzeichnis 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 ...
