Experimental Design for the Life Sciences starts off by asking why we should care about design. It then looks to how to start with a well-defined hypothesis. The text covers questions involved in selecting the broad design of a study. It looks at between-individual variation, replication, and sampling. There are also chapters on pseudoreplication, sample size, power, effective design, experimental design, and factorial designs. Finally, the text considers beyond complete randomization, within-subject designs, and measurements.
Book
Edited by Graeme D. Ruxton and Nick Colegrave
Book
Nick Colegrave and Graeme D. Ruxton
Power Analysis starts by asking: what is statistical power and why is low power undesirable? It then moves on to considering ways in which we can improve the power of an experiment. It asks how we can quantify power by simulation. It also examines simple factorial designs and extensions to other designs. Next, it asks how we can deal with multiple hypotheses. Finally, it looks at how to apply the simulation approach presented in this book beyond null hypothesis testing.
Book
Debbie Holmes, Peter Moody, Diana Dine, and Laurence Trueman
Research Methods for the Biosciences starts off by describing the process of planning an experiment. It asks where the student should begin. It looks into the use of questionnaires, focus groups, and interviews. It also considers research and the law. The next section is about how to handle data. It starts by asking what the student should do with raw data. It introduces hypothesis testing and then goes deeper into the subject by looking at whether the data fit the expected ratio, associations and relationships, parametric data, and non-parametric data. The final section is about reporting results and research.
