Small Sample Size Solutions (open Access) —— A Guide For Applied Researchers And Practitioners

----- 小样本解决方案（开放获取）：应用研究人员与从业人员指南

ISBN: 9780367221898 出版年：2020 页码：284 Rens Van De Schoot Taylor & Francis

Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in r.