Doing science : design, analysis, and communication of scientific research /

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Bibliographic Details
Author / Creator:Valiela, Ivan.
Imprint:Oxford ; New York : Oxford Univ. Press, ©2001.
Description:1 online resource (viii, 294 pages) : illustrations, maps
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11194525
Hidden Bibliographic Details
ISBN:9780195350791
0195350790
1280834153
9781280834158
0195134133
0195079620
9780195079623
9780195134131
Notes:Includes bibliographical references and index.
Print version record.
Summary:1. Obtaining Scientific Information. 2. Elements of Scientific Data and Tests of Questions. 3. Statistical Analyses. 4. Principles of Research Design. 5. Communication of Scientific Information: Writing. 6. The Scientific Paper. 7. Other Means of Scientific Communication. 8. Presenting Data in Tables. 9. Presenting Data in Figures. 10. Case Studies of Graphical Data Presentation. 11. Perceptions and Criticisms of Science. Index.
Other form:Print version: Valiela, Ivan. Doing science. Oxford ; New York : Oxford Univ. Press, ©2001 0195079620 9780195079623
Review by Choice Review

This new edition of Doing Science (1st ed., CH, Sep'01, 39-0274) would be a perfect resource for courses that some graduate departments offer beginning researchers on how to initiate, conduct, and report on a research project. It would also be a valuable addition to the libraries of both seasoned and novice researchers. Valiela (Marine Biological Laboratory, Woods Hole) covers a wide range of topics including formulating a research hypothesis, devising the questions that need to be answered to prove or disprove it, and collecting data. The treatment of data is covered in depth with chapters on analyzing statistics, preparing graphs/tables, and comparing data taken in multiple trials. The author explains how to construct a research paper and a paper for publication in reviewed journals, give talks, present poster demonstrations, and write grant proposals based on the results obtained. He includes a chapter of case studies from previous experiments. The book ends with a discussion of scientific ethics and the public perception of scientists based on sensationalized accounts of misleading, false, and fabricated results. This work is highly technical and presupposes a good knowledge of the mathematics associated with data manipulation. A list of sources and further readings end each chapter. Summing Up: Highly recommended. Academic audiences, upper-division undergraduates and above. C. G. Wood formerly, Eastern Maine Community College

Copyright American Library Association, used with permission.
Review by Choice Review