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    1. Samhälle och politik
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    Quantitative Data Analysis with IBM SPSS 17, 18 & 19

    A Guide for Social Scientists

    AvAlan Bryman,Duncan Cramer

    Inbunden, Engelska, 2011

    2 410 kr

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    Fler format och utgåvor

    Häftad

    789 kr

    Beskrivning

    This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16.As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them.No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including:Non-parametric testsCorrelationSimple and multiple regressionAnalysis of variance and covarianceFactor analysis.This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms.The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http://www.routledgetextbooks.com/textbooks/_author/bryman-9780415579193/; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available free of charge to lecturers who adopt the book.

    Produktinformation

    • Utgivningsdatum:2011-05-18
    • Mått:174 x 246 x 28 mm
    • Vikt:907 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:408
    • Förlag:Taylor & Francis Ltd
    • ISBN:9780415579186

    Utforska kategorier

    • Sociologi inom Samhälle och politik
    • Affärsapplikationer inom Data och IT

    Mer om författaren

    Alan Bryman is Professor of Organisational and Social Research at the School of Management, University of Leicester. His research interests include research methodology, leadership and organizational analysis. Duncan Cramer is Professor of Psychological Health in the Department of Social Sciences at Loughborough University. His research interests include mental health, personality, personal relationships, psychotherapy and counselling.

    Recensioner i media

    "Alan Bryman and Duncan Cramer take the reader on a journey through their first steps in using SPSS and data entry, through to how to decide which statistical technique is the most appropriate for their research and how to interpret each aspect of their analyses. This book is one of the most comprehensive and accessible books available on the market." - Professor Dominic Upton, Head of Psychology, University of Worcester, UK"Bryman and Cramer’s Quantitative Data Analysis has long been one of the best texts in the field. Crucially it explains why something is done, as well as how. Most importantly it does it without recourse to daunting formulae and calculations. It takes students from the beginnings of data analysis, assuming no knowledge of either statistics or SPSS and by the end of it a student can be an accomplished analyst." - Malcolm Williams, Director, Cardiff University. School of Social Sciences, UK

    Innehållsförteckning

    • Preface. 1. Data Analysis and the Research Process. 2. Analyzing Data with Computers: First Steps with SPSS 19, 18 and 17. 3. Analyzing Data with Computers: Further Steps with SPSS 19, 18 and 17. 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.