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Small Sample Size Solutions

A Guide for Applied Researchers and Practitioners
Series: European Association of Methodology Series
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Small Sample Size Solutions addresses the challenges researchers face when data availability is limited, offering practical statistical methods tailored for small data sets. The book guides readers through applying optimal models suitable for complex research questions, even with constrained sample sizes. It covers a range of models from simple population means to those involving latent variables and hierarchical data structures, using both classical and Bayesian approaches.

Designed for social and behavioural science researchers, it includes clear step-by-step instructions and annotated R code to facilitate implementation, making advanced techniques accessible despite sample size limitations.
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Format: Paperback / softback
$9199
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for researchers and practitioners in social and behavioural sciences—including psychology, economics, marketing, medical sciences, and epidemiology—who need to perform complex statistical analyses with small sample sizes. It is particularly useful for those seeking practical, implementable solutions supported by code examples in R.

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This unique resource provides guidelines and tools for implementing solutions to issues that arise in small sample research. 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.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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.

Small Sample Size Solutions is essential for social and behavioural science researchers aiming to test their hypotheses even when the required statistical model 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 by annotated syntax in R.

The methods described in this book will be useful for researchers across the social and behavioural sciences, including those in the medical sciences and epidemiology, as well as in psychology, marketing, and economics.

Series: European Association of Methodology Series

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  • Small Sample Size Solutions
    Small Sample Size Solutions
    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...
    Paperback
    $9199
    Available
    Ships in 4-6 weeks

Book Details

INFORMATION

ISBN: 9780367222222

Publisher: Taylor & Francis Ltd

Format: Paperback / softback

Date Published: 25 February 2020

Country: United Kingdom

Imprint: Routledge

Illustration: 20 Tables, black and white; 51 Line drawings, black and white; 25 Halftones, black and white; 76 Illustrations, black and white

Contributors:

  • Edited by Rens van de Schoot
  • Edited by Milica Miočević

Audience: General / adult, Tertiary education

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 530g

Pages: 270

Collections

Education & Reference Non-Fiction Philosophy & Psychology Series: European Association of Methodology Series

About the Author

Prof. Dr. Rens van de Schoot works as a Full Professor teaching Statistics for Small Data Sets at Utrecht University in the Netherlands and as Extra-ordinary professor North-West University in South Africa. He obtained his PhD cum laude on the topic of applying Bayesian statistics to empirical data.

Dr. Milica Miočević is an Assistant Professor in the Department of Psychology at McGill University. She received her PhD in Quantitative Psychology from Arizona State University in 2017. Dr. Miočević’s research evaluates optimal ways to use Bayesian methods in the social sciences, particularly for mediation analysis.

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