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Statistics for Psychology: a Guide for Beginners (and Everyone)
Watt, Roger and Elizabeth Collins
Sage Publications / Softcover / 2019-04-01 / 1526441268
Statistics and Epidemiology / Psychology
price: $47.95
352 pages
In Stock (Ships within one business day)

This concise, easy-to-understand and highly visual book helps students to understand the principles behind the many statistical practices. This text helps students to build a mental map to enable them to work their way through tests and procedures with a better level of understanding (and ultimately feel more confident and get better grades). Statistical analysis will also be covered in the book in the same simple-to-follow way, without messy details or complicated formulae. However, this approach does not lead to simple understanding. Instead it allows students to really grasp how to use, and be creative with, statistics.

Key features:

• A principles-based approach, helping students to apply and adapt their skills to a variety of situation
• Test out principles in practice on the companion website with statistics scenarios
• Carefully designed graphics to explain statistical principles
• Links to relevant sources / further reading for statistical packages, so the book can be used as a portal to/ springboard for further study.
• Developed in conjunction with students means this book answers the key challenges students face.
• Based on a BPS commended programme
• Supported by a wealth of online resources at www.sagepub.co.uk/statisticsforpsychology

Table of Contents:

Chapter 1: Why do we need statistics? Chapter 2: The Research Cycle Chapter 3: Variables, Chapter 4: Relationships between Variables Chapter 5: Uncertainty in Research Chapter 6: Null Hypothesis Testing Chapter 7: Statistical Tests for 1 Independent Variable Chapter 8: Minimising Uncertainty: Research Design Chapter 9: Measurements and Uncertainty Chapter 10: Sampling and Uncertainty Chapter 11: Hypotheses with More Than One Independent Variable Chapter 12: Covariations: Relationships Between Two Independent Variables Chapter 13: Analysing Data with Two or More Independent Variables Chapter 14: Which Model is Best?


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