|Author||Lenth, Russell V.|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Sample Size ♦ Effective Sample-size Determination ♦ Practical Guideline ♦ Ill-advised Shortcut ♦ Steve Simon ♦ Important Hurdle ♦ Associate Editor ♦ Sample-size Determination ♦ Effect Measure ♦ Kate Cowles ♦ John Castelloe ♦ High-quality Study ♦ Helpful Comment ♦ Real Goal ♦ Study Design ♦ Observed Power ♦ Main Issue ♦ Statistical Study ♦ Important Step ♦ Effect Size ♦ Equivalence Testing ♦ Retrospective Power ♦ Meaningful Sample-size Determination ♦ Error Variance|
|Abstract||Sample-size determination is often an important step in planning a statistical study---and it is usually a difficult one. Among the important hurdles to be surpassed, one must obtain an estimate of one or more error variances, and specify an effect size of importance. There is the temptation to take some shortcuts. This paper offers some suggestions for successful and meaningful sample-size determination. Also discussed is the possibility that sample size may not be the main issue, that the real goal is to design a high-quality study. Finally, criticism is made of some ill-advised shortcuts relating to power and sample size. Key words: Power; Sample size; Observed power; Retrospective power; Study design; Cohen's effect measures; Equivalence testing; # I wish to thank Kate Cowles, John Castelloe, Steve Simon, two referees, an editor, and an associate editor for their helpful comments on earlier drafts of this paper. Much of this work was done with the support of the Obermann ...|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Education Level||UG and PG ♦ Career/Technical Study|
|Learning Resource Type||Article|
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