Small Sample Size Solutions (Open Access): A Guide for Applied Researchers and Practitioners, 1st Edition (Paperback) book cover

Small Sample Size Solutions (Open Access)

A Guide for Applied Researchers and Practitioners, 1st Edition

Edited by Rens van de Schoot, Milica Miočević


320 pages | 76 B/W Illus.

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pub: 2020-02-13
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This unique resource provides guidelines and tools for implementing solutions to issues that arise in small sample research, illustrating statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small.

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 comes with 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 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. Featuring models ranging from the estimation of a population mean to models with latent variables and nested observations, and solutions including both classical and Bayesian methods for synthesizing data, 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.

Table of Contents

Introduction (Van de Schoot & Miočević, 2020)

Symbol overview

Section I: Bayesian solutions

Chapter 1 (Miočević, Levy, & van de Schoot, 2020)

Chapter 2 (Miočević, Levy, & Savord, 2020)

Chapter 3 (Van de Schoot, Veen, Smeets, Winter, & Depaoli, 2020)

Chapter 4 (Veen & Egberts, 2020)

Chapter 5 (Van Erp, 2020)

Section II: n=1

Chapter 6 (Onghena, 2020)

Chapter 7 (Maric & Van der Werff, 2020)

Chapter 8 (Lek & Arts, 2020)

Chapter 9 (Klaassen, 2020)

Chapter 10 (Kavelaars, 2020)

Section III: Complex hypotheses and models

Chapter 11 (Vanbrabant & Rosseel, 2020)

Chapter 12 (Zondervan-Zwijnenburg & Rijshouwer, 2020)

Chpater 13 (Van Lissa, 2020)

Chapter 14 (Rioux, Stickley, Odejimi, & Little, 2020)

Chatper 15 (Hox & McNeish, 2020)

Chapter 16 (Rosseel, 2020)

Chapter 17 (Smid & Rosseel, 2020)

Chapter 18 (Hox, 2020)

About the Editors

Prof. Dr. Rens van de Schoot works as full professor '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 Miocevic 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. Miocevic’s research evaluates optimal ways to use Bayesian methods in the social sciences, particularly for mediation analysis.

About the Series

European Association of Methodology Series

The purpose of the European Association of Methodology book series is to advance the development and application of methodological and statistical research techniques in social and behavioral research. Each volume in the series presents cutting-edge methodological developments in a way that is accessible to a broad audience. Such books can be authored books, monographs, or edited volumes. Sponsored by the European Association of Methodology, the European Association of Methodology book series is open to contributions from the Behavioral, Social, Educational, Health and Economic Sciences. Proposals for volumes in the European Association of Methodology series should include the following:

  1. Title;
  2. authors/editors;
  3. a brief description of the volume's focus and intended audience;
  4. a table of contents;
  5. a timeline including planned completion date and projected length of the manuscript.

Proposals are invited from all interested authors and editors. Feel free to submit a proposal to series editor, Eldad Davidov (University of Cologne, Germany, and University of Zurich, Switzerland,
[email protected]),or by visiting the European Association of Methodology website at

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
PSYCHOLOGY / Research & Methodology