Abstract
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.
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Contents
- Front Matter
- 1. Why you should care about design
- 2. Starting with a well-defined hypothesis
- 3. Selecting the broad design of your study
- 4. Between-individual variation, replication, and sampling
- 5. Pseudoreplication
- 6. Sample size, power, and efficient design
- 7. The simplest type of experimental design: completely randomized, single-factor
- 8. Experiments with several factors (factorial designs)
- 9. Beyond complete randomization: blocking and covariates
- 10. Within-subject designs
- 11. Taking measurements
- End Matter