Statistical Strategies for Small Sample Research

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; latent variable modeling; and time-series data from small numbers of individuals.

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