ISBN : 9780198753339
Starting Out in Methods and Statistics for Psychology: a Hands-on Guide to Doing Research takes first year psychology students through the entire process of doing research in psychology, from exploring designs and methods, to conducting step-by-step, by-hand data analysis, and writing up their findings, all in a friendly and accessible way.
The text begins by presenting a thorough overview of research, explaining its central role in psychology as a science and exploring how to read and present research findings before introducing students to both qualitative and quantitative approaches to research. The author then explores experimental and correlational designs in detail, introducing the general principles before addressing the logic of the specific data analyses used in these forms of design. Dedicated chapters show students how to calculate independent and repeated t tests, and independent measures ANOVA in the experimental design section, and correlation and regression analyses in the correlation section. After guiding students through these essentials, the author moves on to a detailed explanation of when to use non-parametric tests, and again takes students through these data analyses in a carefully-paced series of hand calculations. The text concludes with a clear guide to when to use which test, and takes a look forward to the sorts of statistical analyses students will encounter in both published research and the next phase of their studies.
Part One: Introduction
1: An overview of how to do research
2: How to design a psychological study: the basics of methodology
3: How to find, read, write and think about research papers
4: Qualitative methods in psychological research
5: The basics of statistical analysis
Part Two: Experimental Design
6: How to design an experiment
7: How can I tell if scores differ between two groups? Independent t test
8: How can I tell if scores differ between two conditions? Repeated t test
9: How can I tell if scores differ between three or more groups? One-way independent measures ANOVA
Part Three: Correlational Design
10: How to design a correlational study
11: How can I tell if two variables are correlated? Pearson's correlation
12: How can I tell if one variable can predict another? Simple linear regression
Part Four: Non-parametric Statistics
13: When and why might I need to use non-parametric statistics?
14: Do my data fit the expected frequencies? Chi square
15: Are there differences between groups or conditions? Mann-Whitney U and Wilcoxon signed rank tests
16: Is there a relationship between two variables? Spearman>'s correlation
Part Five: Beyond the Basics
17: Which statistical test should I use?
18: Moving beyond the basics of research and analysis: how do I understand more complicated research designs?
A well-written and accessible text, perfectly positioned for a year one student - Julia Robertson, Buckinghamshire New University
It ticks all the boxes - Becci Owens, University of Sunderland
A very useful resource for students to return to again and again - Eimear Lee, Anglia Ruskin University
Both the level and pace are spot-on - this is not an easy thing to achieve - Chris Kent, University of Bristol
This is just the right sort of level for my first year students - in the Goldilocks zone! - Rebecca Semmens-Wheeler, Birmingham City University
This is the only current book to 'go back to basics' and explain complex concepts and intricate calculations in a clear and simple format - Antonina Pereira, University of Chichester
A truly introductory reader-friendly text - Paul Engelhardt, University of East Anglia
The writer seems genuinely excited and interested in the topic - and most importantly shows it through her writing! It's a really enjoyable, educational read and encourages reader interaction with the material throughout. I would definitely recommend this book! - Amara Mohammed, psychology student, Manchester Metropolitan University