Statistics is one of the most useful elements of any psychology degree. This popular textbook will equip you with the tools needed not only to make sense of your own data and research, but also to think critically about the...Show More
Statistics is one of the most useful elements of any psychology degree. This popular textbook will equip you with the tools needed not only to make sense of your own data and research, but also to think critically about the research and statistics you will encounter in everyday life.
- Logical, intuitive organization of key statistical concepts and tests with an emphasis on understanding which test to use and why
- Innovative graphic illustrations and insightful dialogues that help you to get to grips with statistics
- Concise, easy-to-follow guidelines for making sense of SPSS
- COverage of more complex tests and concepts for when you need to dig deeper
Making Sense of Data and Statistics in Psychology will help you design experiments, analyse data with confidence and establish a solid grounding in statistics; it will become a valuable resource throughout your studies.
Confronts the challenge of teaching statistics
The material is structured so that the reader revisits ideas at increasing levels of sophistication, building on their existing knowledge in order to develop their understanding of statistics.
This book, grounded in the authors' research into the way students learn maths and statistics, provides a 'way in' to statistics for all Psychology undergraduates, from those who have studied Maths to A Level to those who find their statistics courses to be the most daunting of their university years.
The authors emphasise the importance of developing a 'feel' for data, particularly through visual representation, before statistical tests are discussed in detail.
Making extensive use of exploratory data analysis, the text emphasises conceptual understanding. Concepts are introduced and clearly explained, enabling the student to understand the foundations of data analysis in interpreting psychological research.
There is an abundant use of examples from psychological research throughout, helping students to get to grips with different forms of data.
Avoids the jargon that makes statistics so inaccessible to many Psychology students.
Pedagogical features include Socratic dialogues between statistics-averse students and their lecturers; 'Making Links' boxes to help students see the connections between basic and more complex tests; and innovative comprehension check boxes which encourage students to stop and think before reading on.
A new feature, 'Making sense of SPSS', links this conceptual comprehension to the way students mostly carry out their statistical tests.
Statistics in Psychology
PART 1: MAKING SENSE OF BASIC DESIGNS
Describing and Summarising Data
Seeing Patterns in Data: Comparing
Seeing Patterns in Data: Correlating
The Relevance of Probability
Statistical Tests: Comparing
Statistical Tests: Correlating
Experimentation in Psychology
Other ways of assessing the importance of results
PART 2: MAKING SENSE OF 'BIGGER' DESIGNS
Seeing Patterns in Data: Comparing More Than Two Groups
Statistical Tests: Comparing More Than Two Groups
Seeing Patterns in Data: Comparisons Involving More than One Independent Variable
Statistical Tests: Comparing More than One Independent Variable
Relating: Multiple Variables
ABOUT THE AUTHOR
- Health Psychology and Behaviour Change Katy Tapper
- Forensic Psychology Thomas Davis
- Jamovi for Psychologists Paul Richardson, Laura Machan
- SPSS for Psychologists Virginia Harrison, Richard Kemp, Nicola Brace, Rosemary Snelgar
- Animal Cognition Clive D. L. Wynne, Monique A. R. Udell
- Understanding Developmental Psychology Stephanie Thornton, Teodora Gliga
- Issues, Debates and Approaches in Psychology Ian Fairholm
- Emotion Science Elaine Fox
- Psychology, Mental Health and Distress John Cromby, Dave Harper, Paula Reavey
- Attachment Across the Lifecourse David Howe
- Psychology of Addictive Behaviour Antony C. Moss, Kyle R. Dyer
- Health Psychology Karen Rodham
- Serious Stat Thom Baguley
- Schizophrenia Kevin Silber
- Research Methods and Statistics Ian Walker
- Meaning in Life Joel Vos
- Models of Mental Health Gavin Davidson, Jim Campbell, Ciarán Shannon, Ciaran Mulholland
- Critical Statistics Robert de Vries