Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation. ​

This book provides practical guidance on research methods and designs that can be applied to Complex Dynamic Systems Theory (CDST) research. It discusses the contribution of CDST to the field of applied linguistics, examines what this perspective entails for research and introduces practical methods and templates, both qualitative and quantitative, for how applied linguistics researchers can design and conduct research using the CDST framework. Introduced in the book are methods ranging from those in widespread use in social complexity, to more familiar methods in use throughout applied linguistics. All are inherently suited to studying both dynamic change in context and interconnectedness. This accessible introduction to CDST research will equip readers with the knowledge to ensure compatibility between empirical research designs and the theoretical tenets of complexity. It will be of value to researchers working in the areas of applied linguistics, language pedagogy and educational linguistics and to scholars and professionals with an interest in second/foreign language acquisition and complexity theory.

In this book, basic statistical knowledge is conveyed in an understandable and application-oriented manner. The readers should be enabled to carry out their own empirical evaluations and to understand or critically reflect on existing analyses. The third edition is extended by a detailed chapter on the logic of significance tests. A replication syntax for the statistical program Stata is provided online as supplementary material.

There has been a rapid global expansion of academic and policy attention focusing on in-work poverty, acknowledging that across the world a large number of the poor are ‘working poor’. Taking a global and multi-disciplinary perspective, this Handbook provides a comprehensive overview of current research at the intersection between work and poverty.

Entrepreneurship and intrapreneurship have become a vehicle that offers solutions for social, environmental, and economic problems. Even though the level of entrepreneurial activity and its diversity have been motivated through public policies, social support has also played an important role in encouraging people to think of entrepreneurship as a desirable career choice. This book brings together analyses of those elements required for entrepreneurial and intrapreneurial intention and action, which ultimately become important leverages of development. Chapters highlight the importance of rural, urban, university, organizational, and family environments for a bunch of intentions and behaviors such as green, sport, social, corporate, innovative, traditional, and gender entrepreneurship. This entrepreneurial diversity is translated into higher development through the empowerment of women, environmental consciousness, and efficient production. Policymakers, scholars, and practitioners can find different examples and cases useful for decision-making, learning, and practice in this book.

This book provides the first systematic overview of German sociology today. Thirty-four chapters review current trends, relate them to international discussions and discuss perspectives for future research. The contributions span the whole range of sociological research topics, from social inequality to the sociology of body and space, addressing pressing questions in sociological theory and innovative research methods. TOC: Introduction Culture / Uta Karstein and Monika Wohlrab-Sahr Demography and Aging / François Höpflinger Economic Sociology / Andrea Maurer Education and Socialization / Matthias Grundmann Environment / Anita Engels Europe / Monika Eigmüller Family and Intimate Relationships / Dirk Konietzka, Michael Feldhaus, Michaela Kreyenfeld, and Heike Trappe (Felt) Body. Sports, Medicine, and Media / Robert Gugutzer and Claudia Peter Gender / Paula-Irene Villa and Sabine Hark Globalization and Transnationalization / Anja Weiß Global South / Eva Gerharz and Gilberto Rescher History of Sociology / Stephan Moebius Life Course / Johannes Huinink and Betina Hollstein Media and Communication / Andreas Hepp Microsociology / Rainer Schützeichel Migration / Ludger Pries Mixed-Methods and Multimethod Research / Felix Knappertsbusch, Bettina Langfeldt, and Udo Kelle Organization / Raimund Hasse Political Sociology / Jörn Lamla Qualitative Methods / Betina Hollstein and Nils C. Kumkar Quantitative Methods / Alice Barth and Jörg Blasius Religion / Matthias Koenig Science and Higher Education / Anna Kosmützky and Georg Krücken Social Inequalities―Empirical Focus / Gunnar Otte, Mara Boehle, and Katharina Kunißen Social Inequalities―Theoretical Focus / Thomas Schwinn Social Movements / Thomas Kern Social Networks / Roger Häußling Social Policy / Birgit Pfau-Effinger and Christopher Grages Social Problems / Günter Albrecht Social Theory / Wolfgang Ludwig Schneider Society / Uwe Schimank Space. Urban, Rural, Territorial / Martina Löw Technology and Innovation / Werner Rammert Work and Labor / Brigitte Aulenbacher and Johanna Grubner List of Contributors Index

This document provides tested and standardized tools to collect the data needed for a socio-economic assessment of a fishery, including sampling design, quality checks and how to transform inputs into statistics.

This comparative volume provides a comprehensive cross-national account of media coverage and public attitudes toward migration both within and into the European Union. Using empirical research from across Germany, Hunary, Poland, Spain, Sweden, and the United Kingdom, Media and Public Attitudes Toward Migration in Europe offers an in-depth exploration of one of the most prominent social and political topics of the decade in Europe. Drawing on a large scale, cross-national panel survey, experiments, and media content analysis of migration discourse in both traditional news media and social media, expert contributors from across the continent investigate topics such as the linguistic features of migration coverage, the public perception of migrants, and the effects of journalistic communication strategies. Other topics addressed include a discussion of news framing effects on migration coverage and politicians’ postings on social media coverage about the issue. This is a valuable resource for academics, students, and policymakers interested in media coverage of migration, news framing effects, and public attitudes to migration generally. .

Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organizations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. Measurement Error in Longitudinal Data tackles the important issue of how to investigate change in the context of imperfect data. It compiles the latest advances in estimating change in the presence of measurement error from several fields and covers the entire process, from the best ways of collecting longitudinal data, to statistical models to estimate change under uncertainty, to examples of researchers applying these methods in the real world. This book introduces the essential issues of longitudinal data collection, such as memory effects, panel conditioning (or mere measurement effects), the use of administrative data, and the collection of multi-mode longitudinal data. It also presents some of the most important models used in this area, including quasi-simplex models, latent growth models, latent Markov chains, and equivalence/DIF testing. Finally, the use of vignettes in the context of longitudinal data and estimation methods for multilevel models of change in the presence of measurement error are also discussed.