Web-based research methodology has evolved since the development of the world wide web in the 1990s and has proliferated and diversified with layers upon layers of new major developments in internet technology and life generally (e.g., search engines, social media, smartphones, Open Science). This volume presents a selection of state-of-the-art contributions on web-based research in psychology. Expert authors explore research methodology, including new methods made possible through the web or research that cannot be done without the web. In addition, research ethics, which have special characteristics in the online research environment, are addressed to varying degrees, including deception and inclusivity. Further topics presented range from how web-based research can advance our knowledge on perception to the adoption of Open Science (including sharing data, materials, and preregistrations), as well as how behavior is observed in web-based research. This collection of contributions is a showcase of the creativity of researchers to find nifty new ways to harness the web to advance psychological research.

Careful data collection and analysis lies at the heart of good research, through which our understanding of psychology is enhanced. Yet the students who will become the next generation of researchers need more exposure to statistics and experimental design than a typical introductory course presents.
Experimental Design and Analysis for Psychology provides a complete course in data collection and analysis for students who need to go beyond the basics.
Acting as a true course companion, the text's engaging writing style leads readers through a range of often challenging topics, blending examples and exercises with careful explanations and custom-drawn figures to ensure even the most daunting concepts can be fully understood.
Opening with a review of key concepts, including probability, correlation, and regression, the book goes on to explore the analysis of variance and factorial designs, before moving on to consider a range of more specialised, but yet powerful, statistical tools, including the General Linear Model, and the concept of unbalanced designs.
Not just a printed book, Experimental Design and Analysis for Psychology is enhanced by a range of online materials, all of which add to its value as an ideal teaching and learning resource.
The Online Resource Centre features
For registered adopters:
Figures from the book, available to download.
Answers to exercises featured in the book.
Online-only Part III: bonus chapters featuring more advanced material, to extend the coverage of the printed book.
For students:
A downloadable workbook, featuring exercises for self-study.
SAS, SPSS and R companions, featuring program code and output for all major examples in the book tailored to these three software packages.