02303    a2200361   450000500170000000800420001702000220005903700360008104000070011704100080012407200150013207200160014707200150016307200160017807200150019407200140020907200130022307200140023607200130025007200140026307200130027707200120029007200210030207200210032307200180034410000230036224500830038525000060046826000320047430000100050652013960051670000290191220250526161934.0250430042020GB        152           eng    a9780367222222qBC  bTaylor & FranciscGBP 37.99fBB  a01  aeng7 aJMB2thema7 aMBNS2thema7 aPBT2thema7 aJHBC2thema7 aKCH2thema7 aJP2thema7 aJMB2bic7 aMBNS2bic7 aPBT2bic7 aJHBC2bic7 aKCH2bic7 aJP2bic7 aPSY0000002bisac7 aPSY0300002bisac7 a001.422bisac1 aRens van de Schoot10aSmall Sample Size SolutionsbA Guide for Applied Researchers and Practitioners  a1  aOxfordbRoutledgec20200225  a270 p  bResearchers 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.1 aMilica Miočević4B01