02342 a2200373 4500 20250526161934.0 250430042020GB 152 eng 9780367222222 BC Taylor & Francis GBP 37.99 BB 01 eng JMB thema MBNS thema PBT thema JHBC thema KCH thema JP thema JMB bic MBNS bic PBT bic JHBC bic KCH bic JP bic PSY000000 bisac PSY030000 bisac 001.42 bisac Rens van de Schoot 1093 Small Sample Size Solutions A Guide for Applied Researchers and Practitioners 1 Oxford Routledge 20200225 270 p 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. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics. Milica Miočević B01 1094 10663 10663