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Determining Sample Size
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Determining Sample Size: Balancing Power, Precision, and Practicality

Patrick Dattalo

Abstract

Sample size determination is an important and often difficult step in planning an empirical study. From a statistical perspective, sample size depends on the following factors: type of analysis to be performed, desired precision of estimates, kind and number of comparisons to be made, number of variables to be examined, and heterogeneity of the population to be sampled. Other important considerations include feasibility, such as ethical limitations on access to a population of interest and the availability of time and money. The primary assumption of the book is that, within the context of eth ... More

Keywords: estimating sample size, power analysis, confidence intervals, computer-intensive strategies, replication, careful planning, structural equation modeling, multi-level analysis, repeated measures MANOVA, repeated measures ANOVA

Bibliographic Information

Print publication date: 2008 Print ISBN-13: 9780195315493
Published to Oxford Scholarship Online: January 2009 DOI:10.1093/acprof:oso/9780195315493.001.0001

Authors

Affiliations are at time of print publication.

Patrick Dattalo, author
Virginia Commonwealth University