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    Small Sample Size Solutions

    A Guide for Applied Researchers and Practitioners

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    Author(s)
    van de Schoot, Rens
    Miocević, Milica
    Collection
    Dutch Research Council (NWO)
    Language
    English
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    Abstract
    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.
    URI
    http://library.oapen.org/handle/20.500.12657/22385
    Keywords
    statistical methods; researchers; statistical model; research; small sample; estimation; population; variables; observations; social sciences; behavioral sciences; medical sciences; epidemiology; psychology; marketing; economics; analysis
    DOI
    10.4324/9780429273872
    ISBN
    9780367222222; 9780429273872
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2020
    Grantor
    • Nederlandse Organisatie voor Wetenschappelijk Onderzoek
    Classification
    Psychological methodology
    Pages
    284
    Public remark
    21-7-2020 - No DOI registered in CrossRef for ISBN 9780367221898
    Rights
    http://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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