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. … More >>
Statistical Strategies for Small Sample Research
I purchased this book specifically for the last chapter on the partial least squares (PLS) method of SEM. The Chin and Newstead chapter did a good job of working through the nuances of appropriate sample size for PLS to compute component loadings, but didn’t do a very good job of working through calculating sample size and power. However, did provide a good place to start.
Rating: 4 / 5