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Synopsis
This book provides encouragement and strategies for researchers who routinely address research questions using data from small samples. Chapters cover such topics as: using multiple imputation software with small sets; computing and combining effect sizes; bootstrap hypothesis testing; application of latent variable modeling; time-series data from small numbers of individuals; and sample size, reliability and tests of statistical mediation.
Booknews
Twelve contributions describe and illustrate statistical strategies that are flexible and sophisticated, yet appropriate for analyzing data from small samples of fewer than 150 cases. Many authors use simulations to evaluate the performance of statistical methods based on asymptotic theory in very small samples. Others present strategies for maximizing the yield from small-sample data. The topics include multiple imputation software, hypothesis tests using bootstrapping, confirmatory factor analysis, and structural equation modeling. Annotation c. by Book News, Inc., Portland, Or.