By Jack P. Hailman, Karen B. Strier
This concise consultant to making plans, writing, and proposing examine is meant for biology scholars of all degrees, particularly these in behavioral ecology, The reader is guided via a dialogue of the character of clinical learn, the right way to plan examine, and the way to acquire investment. The authors provide recommendation and instructions for providing effects at examine seminars and clinical conferences, and in addition offer precious tips about getting ready abstracts and posters for clinical conferences. They talk about tips on how to write an efficient C.V. and provides normal the way to write in actual fact. The booklet is illuminated all through with own examples from the authors' personal studies and emphasis is put on difficulties linked to box stories. All biologists will locate this a useful source and advisor for the early years in their medical careers and verified college will locate it an important educational device.
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Extra resources for Planning, Proposing and Presenting Science Effectively: A Guide for Graduate Students and Researchers in the Behavioral Sciences and Biology, 2nd Edition
The technical soundness of an approach will be apparent if the study involves well-established methods of data collection and analyses. Nonetheless, it is critical to select methods appropriate to the kinds of data that will be needed to address the study’s goals. A mismatch between questions and methods can undermine a proposal’s credibility and will raise questions about the likelihood that the research will ultimately contribute new information to the field. If sophisticated methods will be employed, then references or letters of collaboration from appropriate laboratories or investigators will help to justify your rationale.
If you cannot discriminate among all of your alternative outcomes, then restating the question and the supporting hypotheses may be imperative. Once again, if reviewers are not convinced that your database will permit you to evaluate your hypotheses, then they will challenge the feasibility of your research despite strong marks for scientific interest.
Scientists think in terms of cause and effect, and so once they propose to themselves a causal relationship, the problem they were subconsciously wrestling with becomes explicit. Many paths exist for developing a model for one’s chosen problem, and these paths range from adopting a preexisting model (say, from the literature) to constructing one wholly from scratch. In most cases, some complicated path between these extremes is followed, amalgamating elements and aspects for various sources. One ordinarily adopts a model in toto from the literature for the explicit purpose of testing an idea that has interested researchers in the field but is neither well confirmed nor convincingly rejected.