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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 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 t...
Publishing Journal Articles
Journal publication and grant writing are two core professional skills for new scholars today. However, systematic training is not typically offered in graduate programs worldwide. This book equips readers with the current scientific knowledge by providing a concise introduction to the science of journal article publication. The overall structure generally matches the curriculum of a graduate course and each chapter features a learning sequence based on Daniel Kahneman's intuitive judgement theory. The volume analyzes the intuitive thoughts of new authors from a variety of countries, uses over fifty real-life cases, and focuses on core concepts from nearly 100 research articles. It provides scientific advice for new authors, junior researchers, and graduate students to publish their scholarly work and advance their academic careers.
Measurement Invariance
Multi-item surveys are frequently used to study scores on latent factors, like human values, attitudes and behavior. Such studies often include a comparison, between specific groups of individuals, either at one or multiple points in time. If such latent factor means are to be meaningfully compared, the measurement structures including the latent factor and their survey items should be stable across groups and/or over time, that is ‘invariant’. Recent developments in statistics have provided new analytical tools for assessing measurement invariance (MI). The aim of this special issue is to provide a forum for a discussion of MI, covering some crucial ‘themes’: (1) ways to assess and ...
Comparative Law
Presents a fresh, contextualised and sophisticated perspective on comparative law for both students and scholars.
Geltungsbereiche des sozialen Kapitals in Deutschland
Saskia Fuchs zeigt in ihrer Untersuchung, wie das soziale Kapital – insbesondere soziales Vertrauen – in Deutschland verteilt ist und welche Herausforderungen sowie Lösungsmöglichkeiten bei dessen Messung bestehen. Anhand der Daten des Sozioökonomischen Panels (SOEP) werden die 96 Raumordnungsregionen in Deutschland hinsichtlich ihrer Sozialkapitalausstattung eingeschätzt. Für soziales Vertrauen zeigt sich (noch immer) ein Unterschied zwischen Osten und Westen. Es zeigt sich auch, dass Reziprozitätsnormen und Korruption in Deutschland miteinander verbunden sind.
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 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 t...
Bayesian Structural Equation Modeling
This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters on each SEM model clearly explain the Bayesian form of the model and walk the reader through implementation. Engaging worked-through examples from diverse social science subfields illustrate the various modeling techniques, highlighting statistical or estimation problems that are likely to arise and describing potential solutions. For each model, instructions are provided for writing up findings for publication, including annotated sample data analysis plans and results sections. Other user-friendly features in every chapter include "Major Take-Home Points," notation glossaries, annotated suggestions for further reading, and sample code in both Mplus and R. The companion website (www.guilford.com/depaoli-materials) supplies data sets; annotated code for implementation in both Mplus and R, so that users can work within their preferred platform; and output for all of the book’s examples.
Methodological Quality of Interventions in Psychology
Evaluations of intervention programs seek to present high-quality design, measures and data to assess their merit and worth. While evaluations differ in their purpose, theoretical framework and methodology, their collective aim is to obtain relevant and meaningful information to inform practice, research, and policy. As such, evaluation findings serve to build a body of knowledge on effective approaches to promote designated psychological outcomes, critical to an individual's overall health and well-being. However, as examined in this e-book, methodological weaknesses directly limit the potential of evaluations of intervention programs. As discussed by Chacón-Moscoso and Sanduvete-Chaves, m...
