Author: | Dr Jeremy J Foster, Emma Barkus, Christian Yavorsky | ISBN: | 9781446228326 |
Publisher: | SAGE Publications | Publication: | November 29, 2005 |
Imprint: | SAGE Publications Ltd | Language: | English |
Author: | Dr Jeremy J Foster, Emma Barkus, Christian Yavorsky |
ISBN: | 9781446228326 |
Publisher: | SAGE Publications |
Publication: | November 29, 2005 |
Imprint: | SAGE Publications Ltd |
Language: | English |
Understanding and Using Advanced Statistics is a comprehensive, practical guide for postgraduate students advising how and when to use more advanced statistical methods. Perfect for students without a mathematical background, the authors refresh important basics such as descriptive statistics and research design as well as introducing essential upper-level techniques to cater for the advanced student.
Key Features:
- Comprehensive guide informing how to use a range of advanced statistical methods such as MANOVA, path analysis and logistical regression;
- Inter-disciplinary: ideal for students studying upper level statistical methods in any subject across the social sciences;
- Practical guide: case studies, further reading, key terms explained in order to help the non-mathematically orientated student get ahead with their research.
Building on undergraduate statistical grounding, Understanding and Using Advanced Statistics provides the upper-level researcher with the knowledge of what advanced statistics do, how they should be used, and what their output means.
Understanding and Using Advanced Statistics is a comprehensive, practical guide for postgraduate students advising how and when to use more advanced statistical methods. Perfect for students without a mathematical background, the authors refresh important basics such as descriptive statistics and research design as well as introducing essential upper-level techniques to cater for the advanced student.
Key Features:
- Comprehensive guide informing how to use a range of advanced statistical methods such as MANOVA, path analysis and logistical regression;
- Inter-disciplinary: ideal for students studying upper level statistical methods in any subject across the social sciences;
- Practical guide: case studies, further reading, key terms explained in order to help the non-mathematically orientated student get ahead with their research.
Building on undergraduate statistical grounding, Understanding and Using Advanced Statistics provides the upper-level researcher with the knowledge of what advanced statistics do, how they should be used, and what their output means.