Quantitative Data Analysis with IBM SPSS 17, 18 & 19
Quantitative Data Analysis with IBM SPSS 17, 18 & 19
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 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.
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 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.
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Descrierea produsului
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 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.
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 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.
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