Quantitative Data Analysis with SPSS 14, 15 & 16
Routledge (Verlag)
978-0-415-44089-9 (ISBN)
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This edition has been completely updated to accommodate the needs of users of SPSS Releases 14, 15 and 16, whilst still being applicable to those using SPSS Releases 10-13.
Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS.
No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to statistical techniques, which includes:
Non-parametric tests
Correlation
Simple and multiple regression
Analysis of variance and covariance
Factor analysis
The authors discuss key issues facing the newcomer to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. For the first time, the book includes a helpful glossary of key terms.
The datasets used in Quantitative Data Analysis with SPSS 14, 15 & 16 are available online at: http://www.psypress.com/brymancramer ; in addition a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available here free of charge to lecturers who adopt the book.
Alan Bryman is Professor of Organisational and Social Research at the School of Management, University of Leicester. His research interests are located primarily in Research Methods, Leadership, and in wider trends in society, like Disneyization. Duncan Cramer is Professor of Psychological Health in the Department of Social Sciences, Loughborough University. His research interests and publications include such topics as mental health, personality, personal relationships, psychotherapy and counselling.
Preface. 1. Data Analysis and the Research Process. 2. Analyzing Data with Computers: First Steps with. SPSS 14, 15 and 16. 3. Analyzing Data with Computers: Further Steps with SPSS 14, 15 and 16. 4. Concepts and their Measurement. 5. Summarizing Data. 6. Sampling and Statistical Significance. 7. Bivariate Analysis: Exploring Differences between Scores on Two Variables. 8. Bivariate Analysis: Exploring Relationships. 9. Multivariate Analysis: Exploring Differences Among Three or More Variables. 10. Multivariate Analysis: Exploring Relationships among Three or More Variables. 11. Aggregating Variables: Exploratory Factor Analysis. Answers to Exercises. Glossary. Bibliography. Index.
| Zusatzinfo | 194 Tables, black and white; 53 Illustrations, black and white |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 174 x 246 mm |
| Gewicht | 726 g |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 0-415-44089-0 / 0415440890 |
| ISBN-13 | 978-0-415-44089-9 / 9780415440899 |
| Zustand | Neuware |
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