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SPSS for Social Scientists 2e provides the novice researcher with a step-by-step guide to SPSS – easily the most widely used data analysis package in the social sciences. Written in a clear and non-technical style, the book gives practical guidance that gradually builds up the reader's knowledge, understanding and confidence. Beginning with an overview of quantitative research and introducing the basics of the SPSS package, the book is then split into 'modules' that explain major procedures in SPSS up to Version 17 and beyond. Each module is packed with step-by-step worked examples that provide supportive and structured advice on inputting data, creating graphical presentations and analysing results. With specific guidance on how to manage the exploration, manipulation and transformation of data, the workbook also takes the reader through key statistical techniques, from t-test and cross-tabulation analysis through multiple response analysis and data reduction to multivariate techniques such as loglinear analysis and logistic regression. This new edition is accompanied by a collection of rich and versatile datasets drawn from the International Social Survey Programme (ISSP), which offers a huge variety of international social science data from over 30 countries. Download datasets by clicking on the link 'Datasets for all nations' under 'Downloads' below and you're ready to go. Whether you're a student or a researcher looking to upgrade your skills, this accessible text brings statistical analysis with SPSS to life in a practical and meaningful way.
Learning statistical computing using the Statistical Package for Social Sciences (SPSS)r was never easier! The ideal SPSSr manual for students of statistics and social science research. With over 40 screen images, readers will be led step-by-step through uses of SPSSr to analyze data from experimental and correlational research designs. Dr. Zagumny shares his 15 years of experience as a student, teacher, and user of statistics and statistical software. All social scientists should have a copy on their bookshelf.
This accessible introduction to statistics using the program SPSS for Windows explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Keeping statistical symbols and formulae to a minimum and using simple examples, this book: * assumes no prior knowledge of statistics or computing * includes a concise introduction to the program SPSS for Windows * describes a wider range of tests than other introductory texts * contains a comprehensive range of exercises with answers Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable introductory statistics text for students, and a useful resource for graduates and professionals engaged in research in the social sciences.
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.
This student-friendly text offers a step-by-step introduction to the use of SPSS, the widely used data analysis computer package in the social sciences. It is supported by four datasets taken from the well-known British Social Attitudes Survey on the topics of crime, health, politics and poverty.
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:
This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by-step explanation of all the important statistical concepts, tests and procedures. It is also a guide to getting started with SPSS, and includes screenshots to illustrate explanations. With examples specific to social sciences, this text is essential for any student in this area.

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