Introduction to SPSS in Psychology, 7th edition is the essential step by step guide to SPSS for students taking their first course in statistics. This well-established text provides a clear and comprehensive coverage of how to carry out statistical analyses using SPSS. Full colour SPSS screenshots, clear explanation and a wide ranging coverage make it the perfect companion for students who want to be able to analyse data with confidence.

Understanding Statistics in Psychology with SPSS, eighth edition, offers students a trusted, straightforward, and engaging way of learning to do statistical analyses confidently using SPSS. Comprehensive and practical, the text is organised into short accessible chapters, making it the ideal text for undergraduate psychology students needing to get to grips with statistics in class or independently. Clear diagrams and full colour screenshots from SPSS make the text suitable for beginners while the broad coverage of topics ensures that students can continue to use it as they progress to more advanced techniques. Key features * Combines coverage of statistics with full guidance on how to use SPSS to analyse data. * Suitable for use with all versions of SPSS. * Examples from a wide range of real psychological studies illustrate how statistical techniques are used in practice. * Includes clear and detailed guidance on choosing tests, interpreting findings and reporting and writing up research. * Student-focused pedagogical approach including: o Key concept boxes detailing important terms. o Focus on sections exploring complex topics in greater depth. o Explaining statistics sections clarify important statistical concepts. . Dennis Howitt and Duncan Cramer are with Loughborough University.

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.

In one of the great euphemisms of our time, an embattled President Clinton admitted to an "inappropriate relationship" with his White House intern, Monica Lewinsky. But what exactly is an "inappropriate relationship?" For that matter, what is an "appropriate relationship?" And how can an understanding of the rules of "appropriateness" help us understand personal relationships in our modern world? Contributors to this book discuss the personal boundaries and taboos of modern relationships. Together they examine the power struggles that can occur when individuals are involved in "inappropriate" relationships, and the ways individuals in such a relationship may attempt to buffer themselves against sanctions--or even embrace this relationship as an agent of social change. Representing work from a range of disciplines, this collection will appeal to scholars, researchers, students, and professionals working on relationships issues in areas across the social sciences, including those working in the fields of social psychology, family studies, social anthropology, cultural studies, and communication.

In one of the great euphemisms of our time, an embattled President Clinton admitted to an "inappropriate relationship" with his White House intern, Monica Lewinsky. But what exactly is an "inappropriate relationship?" For that matter, what is an "appropriate relationship?" And how can an understanding of the rules of "appropriateness" help us understand personal relationships in our modern world?
Contributors to this book discuss the personal boundaries and taboos of modern relationships. Together they examine the power struggles that can occur when individuals are involved in "inappropriate" relationships, and the ways individuals in such a relationship may attempt to buffer themselves against sanctions--or even embrace this relationship as an agent of social change.
Representing work from a range of disciplines, this collection will appeal to scholars, researchers, students, and professionals working on relationships issues in areas across the social sciences, including those working in the fields of social psychology, family studies, social anthropology, cultural studies, and communication.

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.

Comprehensive, clear, and practical, Introduction to Research Methods in Psychology, sixth edition is the essential student guide to understanding and undertaking quantitative and qualitative research in psychology. Revised throughout, this new edition includes a new chapter on 'Managing your research project'. This is the ideal guide for students just beginning and those moving on to more advanced research methods projects in psychology.

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.

First Steps in Research and Statistics is a new, very accessible approach to learning about quantitative methods. No previous knowledge or experience is assumed and every stage of the research process is covered.
Key topics include:
* formulating your research questions
* how to choose the right statistical test for your research design
* important research issues, such as questionnaire design, ethics, sampling, reliability and validity
* conducting simple statistics to explore relationships and differences in your data
* using statistics to explore relationships and differences in your data
* writing up your research report and presenting statistics
Simple and helpful worksheets and flow diagrams guide you through the research stages. Each chapter contains exercises with answers to check whether you've understood.

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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 the following releases of 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.

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Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Mac users using the same formulae free, non-technical approach as the very successful SPPS version. Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualization and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises. Social science students will be interested in this integrated, non-mathematical introduction to quantitative data anlysis and the Minitab package.

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.

Many topics within the study of close relationships are relevant to positive psychology, such as love, friendship, social support, and forgiveness. However, very little has been done to specifically connect and thus expand these two interrelated and rapidly growing fields. Positive Psychology of Love fills this void by bringing together the latest research and theory in the field of close relationships from a positive psychology point of view, suggesting how we can have more fulfilling close and intimate relationships and how these relationships may enhance our lives. Each of the chapters focuses on a different aspect of close and intimate relationships as related to positive psychology, such as romantic love, friendship, positive emotions, sexuality, attachment, communication, forgiveness, conflict resolution, self-esteem, relational maintenance, mental health, physical health, and culture. International contributors from a variety of disciplines explore how these areas of close relationships relate to positive psychology, and how close relationships function as an important aspect of our personal health, growth, happiness, and well-being. This unique and fascinating approach will be of interest to researchers, educators, and students in a number of fields including psychology, sociology, counseling, social work, communication, family studies, marriage and family therapy, and nursing.

*What do advanced statistical techniques do? *When is it appropriate to use them? *How are they carried out and reported? 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. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise 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 Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.

First Steps in Research and Statistics is a new, very accessible approach to learning about quantitative methods. No previous knowledge or experience is assumed and every stage of the research process is covered.Key topics include: Formulating your research questions How to choose the right statistical test for your research design Important research issues, such as questionnaire design, ethics, sampling, reliability and validity Conducting simple statistics to explore relationships and differences in your data Using statistics to explore relationships and differences in your data Writing up your research report and presenting statistics Simple and helpful worksheets and flow diagrams guide you through the research stages. Each chapter contains exercises with answers to check whether you've understood.

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. Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to techniques including: Non-parametric tests Correlation Simple and multiple regression Multivarate analysis of variance and covariance Factor analysis The authors discuss 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 contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. This 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 both students and researchers in the social sciences. The datasets used in Quantitative Data Analysis for SPSS Release 12 and 13 are available online at www.psypress.com/brymancramer/ .

Statistics play a vital role in the description of the results of empirical research in the social sciences. Consequently, an understanding of the way in which such data have been analyzed is essential to be able to evaluate those results fully and critically. This introduction to statistics using the program SPSS for Windows assumes no prior knowledge of statistics or computing and explains when to apply and how to calculate a wide range of statistical procedures commonly used in the social sciences. Ranging from chi-square and the t-test to analysis of covariance and multiple regression, the text covers a wide choice of statistics including tests not found in other introductory texts, such as tests for determining whether correlations differ and the extent of agreement between observers. Important statistical points are illustrated with worked numerical examples, and exercises are provided at the end of chapters.

The authors make excellent use of illustrative examples' - "Reference Reviews

"

The SAGE Dictionary of Statistics provides students and researchers with an accessible and definitive resource to use when studying statistics in the social sciences, reading research reports and undertaking data analysis. Written by leading academics in the field of methodology and statistics, the Dictionary will be an essential study guide for the first-time researcher as well as a primary resource for more advanced study.

This is a practical and concise dictionary that serves the everyday uses of statistics across the whole range of social science disciplines. It offers basic and straightforward definitions of key concepts, followed by more detailed step-by-step explanations of situating specific methods and techniques. It also contains lists of related concepts to help the user to draw connections across various fields and increase their overall understand of a specific technique. A list of key readings helps to reinforce the aim of the Dictionary as an invaluable learning resource.

Designed specifically for students and those new to research, and written in a lively and engaging manner, this Dictionary is an essential reference work for students and researchers across the social sciences.

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. Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to techniques including: Non-parametric tests Correlation Simple and multiple regression Multivarate analysis of variance and covariance Factor analysis The authors discuss 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 contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. This 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 both students and researchers in the social sciences. The datasets used in Quantitative Data Analysis for SPSS Release 12 and 13 are available online at www.psypress.com/brymancramer/ .