Sampling Design

Steven N. Murray, Richard F. Ambrose and Megan N. Dethier

in Monitoring Rocky Shores

Published by University of California Press

Published in print March 2006 | ISBN: 9780520247284
Published online March 2012 | e-ISBN: 9780520932715 | DOI:
Sampling Design

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The decision about what study design to use is a fundamental decision that will determine what inferences can be made from data collected, and even whether the data will be valid for use in the study. The issues are primarily statistical, so this chapter begins with a brief discussion of statistical considerations (statistical power, distribution of sampling effort, etc.). It then examines how sampling units are positioned in a study area and discusses random, systematic, and targeted placement and the various methods for stratifying sampling units in the field. Finally, the chapter explains how to determine the appropriate number of samples to take. To ensure that estimates are unbiased, and to satisfy the assumptions of most parametric statistical tests, the collected data must have independent and normal error distributions, homogeneity of error variation among groups, and additivity of effects. Two types of sampling can be planned for a site: one-time or “one-off” assessment and repeated assessment.

Keywords: sampling; study design; statistical tests; statistical power; sampling units; error distributions; one-off assessment; repeated assessment

Chapter.  10234 words.  Illustrated.

Subjects: Animal Pathology and Diseases

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