Inspired by the famous quote of Leonardo da Vinci, this chapter builds upon the idea that practice without theory is blind and unpredictable. Indeed, theory without practice can be idle. Accordingly, progress in science is made through approaches that integrate hypothesis testing and falsifiability or that investigate weight of evidence for multiple hypothesis, such as the hypothetico-deductive method (HDM) and Bayesian techniques. Here, we provided a straightforward way to combine the HDM with statistical thinking to create a diagram that links variables by causal links, which can improve the scientific method and statistical literacy.
- Hypothetico-deductive method
- Scientific flowchart
- P value
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Editors and Affiliations
After Pickett et al. .
Conditions needed to sustain a hypothesis or build the theory.
Testable statement derived from or representing various components of a theory.
Direct interaction of a causal relationship that results in a phenomenon.
Repeated events, recurring entities or replicated relationships observed in time or space.
An observable event, entity or relationship.
A statement of expectation deduced from the logical structure or derived from the causal structure of a theory.
A subset of phenomena in which events follow one another in time or space, which may or may not be causally connected. It is cause, mechanism or constraint explaining a pattern.
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Gonçalves-Souza, T., Provete, D.B., Garey, M.V., da Silva, F.R., Albuquerque, U.P. (2019). Going Back to Basics: How to Master the Art of Making Scientifically Sound Questions. In: Albuquerque, U., de Lucena, R., Cruz da Cunha, L., Alves, R. (eds) Methods and Techniques in Ethnobiology and Ethnoecology . Springer Protocols Handbooks. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8919-5_7
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-8918-8
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