A researcher's decision about the sample to draw in a study may have an enormous impact on the results, and it rests on numerous statistical and practical considerations that can be difficult to juggle. Computer programs help, but no single software package exists that allows researchers to determine sample size across all statistical procedures. This pocket guide shows social work students, educators, and researchers how to prevent some of the mistakes that would result from a wrong sample size decision by describing and critiquing four main approaches to determining sample size. In concise, example-rich chapters, Dattalo covers sample-size determination using power analysis, confidence intervals, computer-intensive strategies, and ethical or cost considerations, as well as techniques for advanced and emerging statistical strategies such as structural equation modeling, multilevel analysis, repeated measures MANOVA and repeated measures ANOVA. He also offers strategies for mitigating pressures to increase sample size when doing so may not be feasible. Whether as an introduction to the process for students or as a refresher for experienced researchers, this practical guide is a perfect overview of a crucial but often overlooked step in empirical social work research.Example 10: MANCOVA Power Analysis MANCOVA is a MANOVA in which the dependent variables (DVs) are initially adjusted for differences ... If k is the number of groups in the design and g is the number of covariates, then groups1a 4kA¾g.
|Title||:||Determining Sample Size : Balancing Power, Precision, and Practicality|
|Author||:||Patrick Dattalo Associate Professor in the School of Social Work Virginia Commonwealth University|
|Publisher||:||Oxford University Press, USA - 2007-12-12|