This accessible book examines the four areas of creative research methods: arts-based research, research using technology, mixed-method research and transformative research frameworks. It offers examples in practice and shows readers why, when, and how to use them in their research.
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
A Practical Guide for the Social and Behavioural Sciences
Author: Claire Hewson
Category: Social Science
Offering a concise, comprehensive guide to conducting research on the Internet, this book provides a detailed explanation of all the main areas of Internet research. It distinguishes between primary research (using the Internet to recruit participants, to administer the research process and to collect results) and secondary research (using the Internet to access available material online). The book is designed for social science researchers and presents a user-friendly, practical guide that will be invaluable to both students and researchers who wish to incorporate the Internet into their research practice.
A Practical Guide for Researchers in Health and Social Sciences
Author: Linda Finlay
Publisher: John Wiley & Sons
Reflexivity is a popular tool used to analyse personal, intersubjective and social processes which shape research projects. It enables researchers, particularly within the qualitative tradition, to acknowledge their role and the situated nature of their research. In the current climate, which sees the popularity of qualitative methods coupled with increased public and professional scrutiny of research, reflexivity provides a means of bolstering greater transparency and quality in research. This book recognises the considerable value of reflexivity to researchers, and provides a means to navigate this field. The book is foremost a practical guide which examines reflexivity at different stages of the research process. The editors and contributors offer candid approaches to the subject, which supply readers with diverse strategies on how to do reflexivity in practice. Features * Provides an accessible, practical guide to reflexive research processes, methods and outcomes * Encompasses both the health and social science fields * Includes contributions from international researchers The book is aimed at postgraduate and final year students of health and social sciences. Interested clinicians will also find useful insights in the text.
Such diverse thinkers as Lao-Tze, Confucius, and U.S. Defense Secretary Donald Rumsfeld have all pointed out that we need to be able to tell the difference between real and assumed knowledge. The systematic review is a scientific tool that can help with this difficult task. It can help, for example, with appraising, summarising, and communicating the results and implications of otherwise unmanageable quantities of data. This book, written by two highly-respected social scientists, provides an overview of systematic literature review methods: Outlining the rationale and methods of systematic reviews; Giving worked examples from social science and other fields; Applying the practice to all social science disciplines; It requires no previous knowledge, but takes the reader through the process stage by stage; Drawing on examples from such diverse fields as psychology, criminology, education, transport, social welfare, public health, and housing and urban policy, among others. Including detailed sections on assessing the quality of both quantitative, and qualitative research; searching for evidence in the social sciences; meta-analytic and other methods of evidence synthesis; publication bias; heterogeneity; and approaches to dissemination.
A Practical Guide for Students and Researchers in Social Sciences and the Humanities
Author: Elia Shabani Mligo
Publisher: Wipf and Stock Publishers
Category: Language Arts & Disciplines
This book provides introductory materials on research methods and report writing that aim at guiding students and researchers towards effective research and reporting of their findings. Unlike the many volumes on research that are mostly theoretical, this book originated in the classroom and grew out of the students' own needs to design and conduct satisfactory research in order to meet academic requirements. It is also designed to help experienced researchers in their research ventures. In fulfilling this purpose, the author uses simple, straightforward language. He also provides appropriate examples and illustrations to enable the reader to grasp the basic concepts of research. The book will prove a useful guide for students and researchers in social sciences and humanities who wish to transform research theory into real and feasible research projects.
A Practical Guide for Researchers in Aging, Health, and Social Sciences
Author: Jason Newsom
This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.
Meeting a crucial need for graduate students and newly minted researchers, this innovative text provides hands-on tools for generating ideas and translating them into formal theories. It is illustrated with numerous practical examples drawn from multiple social science disciplines and research settings. The authors offer clear guidance for defining constructs, thinking through relationships and processes that link constructs, and deriving new theoretical models (or building on existing ones) based on those relationships. Step by step, they show readers how to use causal analysis, mathematical modeling, simulations, and grounded and emergent approaches to theory construction. A chapter on writing about theories contains invaluable advice on crafting effective papers and grant applications. Useful pedagogical features in every chapter include: Application exercises and concept exercises Lists of key terms and engaging topical boxes Annotated suggestions for further reading. This book is intended for graduate students in a range of disciplines, including psychology, education, sociology, health, and management, as well as social scientists pursing research careers in academic or other settings. It can serve as a primary text in graduate-level courses in theory construction or as a supplemental text in courses on research methodology, theories of a particular discipline, grant writing, or the dissertation.
This text provides an essential resource for the social researcher. It offers a comprehensive introduction for first time researchers right through to thorough and practical advice for those undertaking more advanced work.
Written in a clear, accessible and lively style, this text offers a comprehensive introduction as well as a practical guide to the planning, implementation and presentation of social research. Social research is introduced in a systematic way, following the logical sequence, which a student of the social science would follow in the design and implementation of a research project. The material is presented in a direct and humourous style, and the emphasis is on explanation with no assumption made about the reader's background in research issues.