Small Sample Size Solutions (Open Access)

by Van de Schoot, Rens

Type Book

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Full title :Small Sample Size Solutions (Open Access).

Summary

Researchers often have difficulties collecting enough data to test their hypotheses,either because target groups are small or hard to access, or because data collectionentails prohibitive costs. Such obstacles may result in data sets that are too small forthe complexity of the statistical model needed to answer the research question. Thisunique book provides guidelines and tools for implementing solutions to issuesthat arise in small sample research. Each chapter illustrates statistical methods thatallow researchers to apply the optimal statistical model for their research questionwhen the sample is too small.This essential book will enable social and behavioral science researchers to testtheir hypotheses even when the statistical model required for answering theirresearch question is too complex for the sample sizes they can collect. The statisticalmodels in the book range from the estimation of a population mean to models withlatent variables and nested observations, and solutions include both classical andBayesian methods. All proposed solutions are described in steps researchers canimplement with their own data and are accompanied with annotated syntax in R.The methods described in this book will be useful for researchers across the socialand behavioral sciences, ranging from medical sciences and epidemiology to psychology,marketing, and economics.