Duncan Cramer – författare

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:

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/ .

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:

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/ .

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 answersFundamental 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 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 answersFundamental 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.

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 Minitab 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, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises.Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.

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 Minitab 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, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises.Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.

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 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:

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.

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:

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.

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.

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.

The full text downloaded to your computer

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eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.

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Time limit

The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

The full text downloaded to your computer

With eBooks you can:

eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.

Upon purchase, you''ll gain instant access to this eBook.

Time limit

The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

The essential guide in Research Methods in Psychology whether you are new to psychological research or moving on to more complex projects.

Research Methods in Psychology, 7e by Dennis Howitt and Duncan Cramer is a highly accessible introduction to both quantitative and qualitative research methods.

Ideal for undergraduate students of any level studyingrelevant courses inresearch methods, this book will help you connect your learning to relevant research examples and give you the practical guidance you need to prepare you to undertake your own projects.

Covering everything - from the role of research in Psychology to the pitfalls to avoid - this text will not only help you critically evaluate existing research but will guide you through all the stages of developing and managing your own research project.

Key Features include:

This newest edition of the text also covers the latest advances in modern psychological research, including a whole new chapter on online research methods and up-to-date coverage of the most recent standards of ethics.

Become confident with the most common statistical techniques so that you can grasp the fundamentals and transition from a student to a professional researcher

Now in its ninth edition, Understanding Statistics in Psychology, by Dennis Howitt and Duncan Cramer continues to provide an accessible introduction to the intimidating subject of statistics in psychology for students of all years and abilities.

Clear explanations and diagrams break down the statistical techniques that are used in modern psychological research and updated examples of real-life studies bring the topic to life by showing you how statistics are used in practice.

The new software-agnostic approach of this edition means that you will gain a solid understanding of statistics which can be applied to whichever statistical package you are using to analyse your data. The modular structure of this text and its small accessible chapters also mean that it is easy to dip in and out of, concentrating on the techniques that are the most relevant for you and your own research projects.

This text does not just focus on how to analyse data but also contains clear and detailed guidance of the whole research process, from how to choose the appropriate tests, to interpreting your findings and successfully writing up your research.

Become confident with the most common statistical techniques so that you can grasp the fundamentals and transition from a student to a professional researcher

Now in its ninth edition, Understanding Statistics in Psychology, by Dennis Howitt and Duncan Cramer continues to provide an accessible introduction to the intimidating subject of statistics in psychology for students of all years and abilities.

Clear explanations and diagrams break down the statistical techniques that are used in modern psychological research and updated examples of real-life studies bring the topic to life by showing you how statistics are used in practice.

The new software-agnostic approach of this edition means that you will gain a solid understanding of statistics which can be applied to whichever statistical package you are using to analyse your data. The modular structure of this text and its small accessible chapters also mean that it is easy to dip in and out of, concentrating on the techniques that are the most relevant for you and your own research projects.

This text does not just focus on how to analyse data but also contains clear and detailed guidance of the whole research process, from how to choose the appropriate tests, to interpreting your findings and successfully writing up your research.