This latest edition of this best-selling textbook has been completely updated to accommodate the needs of users of SPSS Release 10 for Windows. As with previous editions, Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS for Windows. They assume no previous familiarity with either statistics or computing, but take readers step-by-step through techniques, including: * Correlation * Simple and multiple regression * Multivariate analysis of variance and covariance * Factor analysis They also include a comprehensive range of exercises for further practice and cover issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. For further information or to download the book's datasets, please visit the website: http://www.routledge.com/textbooks/titles/quant10.html

The latest edition of this best-selling introduction to Quantitative Data Analysis through the use of a computer package has been completely updated to accommodate the needs of users of SPSS Release 8 for Windows. Like its predecessor, it provides a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS for Windows. It assumes no previous familiarity with either statistics or computing but takes the reader step-by-step through the techniques, reinforced by exercises for further practice. Techniques explained in Quantitative Data Analysis with SPSS Release 8 for Windows include: * correlation * simple and multiple regression * multivariate analysis of variance and covariance * factor analysis The book also covers issues such as sampling, statistical significance, conceptualization and measurement and the selection of appropriate tests. For further information or to download the book's datasets, please visit the webstite: http://www.routledge.com/textbooks/titles/quant.html

This text provides a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS. It takes the reader step-by-step through the techniques, reinforced by exercises.

There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. The following features characterize this book: concise and accessible introduction to calculating and interpreting advanced statistical techniques; use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique; succinct illustration of writing up the results of these analyses; minimum of mathematical, statistical and technical notation; annotated bibliography and glossary of key concepts.

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 tests Correlation Simple and multiple regression Analysis of variance and covariance Factor 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.

Bringing together many of the core classic and contemporary works in social and cultural research methods, this book gives students direct access to methodological debates and examples of practical research across the qualitative/quantitative divide. The book is designed to be used both as a collection of readings and as an introductory research methods book in its own right. Topics covered include: research methodology research design, data collection and preparation analyzing data mixing qualitative and quantitative methods validity and reliability methodological critique: postmodernism, post-structuralism and critical ethnography political and ethical aspects of research philosophy of social science reporting research. Each section is preceded by a short introduction placing the readings in context. This reader-text also includes features such as discussion questions and practical exercises.

This innovative book provides students and researchers alike with an indispensible introduction to the key theoretical issues and practical methods needed for data collection. It uses clear definitions, relevant interdisciplinary examples from around the world and up-to-date suggestions for further reading to demonstrate how to usefully gather and use qualitative, quantitative, and mixed data sets. The book is divided into seven critical parts: • Data Collection: An Introduction to Research Practices • Collecting Qualitative Data • Observation and Informed Methods • Experimental and Systematic Data Collection • Survey Methods for Data Collection • The Case Study Method of Data Collection • Concluding Suggestions for Data Collection Groups A stimulating, practical guide which can be read as individual concepts or as a whole this will be an important resource for students and research professionals. Wendy Olsen is Senior Lecturer at Manchester University, Institute for Development Policy & Management and Cathie Marsh Centre for Census & Survey Research

This research guide includes practical instructions for graduate students and research assistants on the process of research planning and design, data collection and analysis and the writing of results. It also features chapters co-written by advanced research students providing real-world examples.

Based on the needs of business, marketing and social science students, this book provides an accessible and easy-to-follow guide to survey data analysis. The book avoids the more usual statistics-driven perspective. Rather, it provides an intuitive feel for handling survey data by emphasising that data analysis is more about understanding the research objectives, what kinds of data have been collected, how quantitative data were generated by the process of measurement, how to create a data matrix and how to transform raw data before thinking about appropriate statistical calculations. The author begins by considering what data are, the different kinds of data that surveys generate, and the tripartite format of all quantitative data. The processes of measurement and the errors that may arise are carefully explained. Coverage of the creation and analysis of a data matrix using SPSS is then provided. The author then reviews what kinds of statistical procedure are required for what kinds of data and for what purposes. The book concludes by giving a review of strategies for coping with all the kinds of practical problems that arise in survey research. Reader-friendly throughout, Data Analysis: A Guide to Market and Social Research provides numerous worked examples, end-of-chapter questions and points for further discussion to help reinforce concepts learnt. A data diskette containing the worked examples in SPSS is also provided in the back of the book. Also available is a companion website with extra features to accompany the text, please take a look by clicking below - http://www.palgrave.com/business/kent/index.asp

Designed as a comprehensive introduction to the key phases of research projects, this textbook responds to the lack of guides tailored specifically to management studies. It combines theory and practice to offer a completely rounded introduction.