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Zusatztext "The strengths of this book include its ability to integrate good advice on choosing the appropriate statistical test for the data yielded, procedures for carrying out appropriate statistical analyses, and on the interpretation of the findings from the analyses. It will prove an essential guide to students and researchers alike." - Tom Heffernan, Senior Lecturer in Psychology, Northumbria University Informationen zum Autor Alan Bryman, Duncan Cramer Klappentext "Quantitative Data Analysis with SPSS Release 12.0 provides both a non-technical introduction to quantitative data analysis and a user-friendly approach to SPSS. Thoroughly updated for SPSS Release 12.0! the new edition will also be applicable to those using SPSS Release 11.5 and below. As with previous editions! the authors concentrate on the 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 includes worked examples to illustrate the points raised! and ends with a set of exercises which allow the reader to test their understanding of each topic. The authors do not assume any previous knowledge of either statistics or computing! but instead take the reader step-by-step through the most common procedures and techniques! including: * ANOVA* Simple and multiple regression* Correlation* Factor Analysis. The new edition of this hugely successful textbook will guide the reader through the basics of quantitative data analysis! and become an essential reference tool for students and researchers alike. Zusammenfassung This new edition has been completely updated to accommodate the needs of users of SPSS Release 12 and 13 for Windows, whilst still being applicable to those using SPSS Release 11 and 10. Inhaltsverzeichnis Data Analysis and the Research Process. Analyzing Data with Computers: First Steps with SPSS 12. Analyzing Data with Computers: Further Steps with SPSS 12. Concepts and their Measurement. Summarizing Data. Sampling and Statistical Significance. Bivariate Analysis: Exploring Differences between Scores on Two Variables. Bivariate Analysis: Exploring Relationships. Multivariate Analysis: Exploring Differences Among Three or More Variables. Multivariate Analysis: Exploring Relationships Among Three or More Variables. Aggregating Variables: Exploratory Factor Analysis. Answers to Exercises. ...
