The A-Z of Social Research PDF Download

Author: Robert Lee Miller
Publisher: SAGE
ISBN: 9780761971337
Category : Social Science
Languages : en
Pages : 370

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Book Description
The A-Z is a collection of entries ranging from qualitative research techniques to statistical testing and the practicalities of using the Internet as a research tool. Alphabetically arranged in accessible, reader-friendly formats, the shortest entries are 800 words long and the longest are 3000. Most entries are approximately 1500 words in length and are supported by suggestions for further reading.

Author: Robert Lee Miller
Publisher: SAGE
ISBN: 9780761971337
Category : Reference
Languages : en
Pages : 366

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Book Description
Alphabetically arranged in accessible, reader-friendly format this collection of 94 entries provides a concise introduction to the key concepts and methods in social research.

Author: Pertti Alasuutari
Publisher: SAGE
ISBN: 1473971268
Category : Social Science
Languages : en
Pages : 650

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Book Description
The SAGE Handbook of Social Research Methods is a must for every social-science researcher. It charts the new and evolving terrain of social research methodology, covering qualitative, quantitative and mixed methods in one volume. The Handbook includes chapters on each phase of the research process: research design, methods of data collection, and the processes of analyzing and interpreting data. The volume maintains that there is much more to research than learning skills and techniques; methodology involves the fit between theory, research questions research design and analysis. The book also includes several chapters that describe historical and current directions in social research, debating crucial subjects such as qualitative versus quantitative paradigms, how to judge the credibility of types of research, and the increasingly topical issue of research ethics. The Handbook serves as an invaluable resource for approaching research with an open mind. This volume maps the field of social research methods using an approach that will prove valuable for both students and researchers.

Author: David Robinson
Publisher: Routledge
ISBN: 0429802749
Category : Social Science
Languages : en
Pages : 128

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Book Description
First published in 1998, this volume examines a major function of research which is to strengthen the knowledge base of health professions and so enhance patient care. The rapid growth has unfortunately led to it being seen by many as an elitist activity full of jargon, carried out by academics. This to some degree has led to a theory practice gap with some professionals not recognising their important role within the research process. It is important to dispel the myth that all practitioner should carry out research, though they should use elements of the research process to develop a questioning and evaluative approach to care. This book will enable reader to demystify and enhance their understanding of terminology used in research and contains almost 300 terms. It offers readers a unique approach to explanations for each term by offering its Everyday use; its Research use; an Example and Related terms.

Author: Jean-édéric Morin
Publisher: Oxford University Press, USA
ISBN: 0198850298
Category :
Languages : en
Pages : 331

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Book Description
Research Methods in the Social Sciences is a comprehensive yet compact A-Z for undergraduate and postgraduate students undertaking research across the social sciences, featuring 71 entries that cover a wide range of concepts, methods, and theories. Each entry begins with an accessible introduction to a method, using real-world examples from a wide range of academic disciplines, before discussing the benefits and limitations of the approach, its current status in academic practice, and finally providing tips and advice for readers on when and how to apply the method in their own research. Wide ranging and interdisciplinary, the text covers both well-established concepts and emerging ideas, such as big data and network analysis, for qualitative and quantitative research methods. All entries feature extensive cross-referencing, providing ease of navigation and, pointing readers to related concepts, and to help build their overall understanding of research methods.

Author: Scott M. Lynch
Publisher: Springer Science & Business Media
ISBN: 1461485738
Category : Social Science
Languages : en
Pages : 229

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Book Description
This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic philosophical issues underpinning the process of scientific research. These include the concepts of deductive reasoning and the falsifiability of hypotheses, the development of a research question and hypotheses, and the process of data collection and measurement. Probability theory is then covered extensively with a focus on its role in laying the foundation for statistical reasoning and inference. After illustrating the Central Limit Theorem, later chapters address the key, basic statistical methods used in social science research, including various z and t tests and confidence intervals, nonparametric chi square tests, one-way analysis of variance, correlation, simple regression, and multiple regression, with a discussion of the key issues involved in thinking about causal processes. Concepts and topics are illustrated using both real and simulated data. The penultimate chapter presents rules and suggestions for the successful presentation of statistics in tabular and graphic formats, and the final chapter offers suggestions for subsequent reading and study.

Author: Joan E. Sieber
Publisher: Springer Science & Business Media
ISBN: 1461257190
Category : Psychology
Languages : en
Pages : 256

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Book Description
Social scientists are unprepared for many of the ethical problems that arise in their research, and for criticisms of their ethics that seem to ignore such cherished scientific values as objectivity and freedom of inquiry. Yet, they possess method ological talent and insight into human nature that can be used to understand and resolve these problems. The contributors to this book demonstrate that criticism of the ethics of social research can stimulate constructive development of meth odology. Both volumes of The Ethics of Social Research were written for and by social scientists to show how ethical dilemmas arise in the day-to-day conduct of social research and how they can be resolved. The topics discussed in this book include ethical problems that arise in experiments and sample surveys; the companion volume deals with the ethical issues involved in fieldwork and in the regulation and publication of research. With candor and humor, many of the contributors describe lessons they have learned about themselves, their methods, and their research participants. Collectively, they illustrate that both humanists and detenninists are likely to encounter ethical dilemmas in their research, albeit different ones, and that a blending of detenninistic and humanistic approaches may be needed to solve these dilemmas. The aim of this book is to assist irwestigators in preparing to meet some of the ethical problems that await the unwary. It offers perspectives, values, and guidelines for anticipating problems and devising solutions.

Author: N. Carlo Lauro
Publisher: Springer
ISBN: 3319554778
Category : Social Science
Languages : en
Pages : 300

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Book Description
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

Author: Sotirios Sarantakos
Publisher: Bloomsbury Publishing
ISBN: 1137292474
Category : Social Science
Languages : en
Pages : 536

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Book Description
From question development and research design to data collection and statistical analysis, this text guides the reader through every aspect of social research. Encouraging a critical approach in each chapter, this 4th edition includes enhanced coverage of internet sampling, mixed methods, conversation analysis and feminist research.

Author: Howard Lune
Publisher: SAGE
ISBN: 1412967392
Category : Social Science
Languages : en
Pages : 457

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Book Description
This book shows students the steps involved in the research process, the various strategies for conducting a valid social inquiry, and most importantly, the persuasiveness and elegance of reliable social research. It highlights the link between academic research and the real world. Included are carefully chosen examples of each of the major methodological techniques-survey, interviews, fieldwork observations, experiments, content analysis, secondary analysis and program evaluation. Also included are selections on sampling strategies, research ethics and both qualitative and quantitative data analysis.