This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data. Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data.

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

This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.

Designing and Doing Survey Research is an introduction to the processes and methods of planning and conducting survey research in the real world. Taking a mixed method approach throughout, the book provides step-by-step guidance on: • Designing your research • Ethical issues • Developing your survey questions • Sampling • Budgeting, scheduling and managing your time • Administering your survey • Preparing for data analysis With a focus on the impact of new technologies, this book provides a cutting-edge look at how survey research is conducted today as well as the challenges survey researchers face. Packed full of international examples from various social science disciplines, the book is ideal for students and researchers new to survey research.

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Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s updated website.

A new edition of this best-selling introductory book to cover the latest SPSS versions 8.0 - 10.0 This book is designed to teach beginners how to use SPSS for Windows, the most widely used computer package for analysing quantitative data. Written in a clear, readable and non-technical style the author explains the basics of SPSS including the input of data, data manipulation, descriptive analyses and inferential techniques, including; - creating using and merging data files - creating and printing graphs and charts - parametric tests including t-tests, ANOVA, GLM - correlation, regression and factor analysis - non parametric tests and chi square reliability - obtaining neat print outs and tables - includes a CD-Rom containing example data files, syntax files, output files and Excel spreadsheets.