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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.
