Search Results for "research-training-for-social-scientists"

Research Training for Social Scientists

Research Training for Social Scientists

A Handbook for Postgraduate Researchers

  • Author: Dawn Burton
  • Publisher: SAGE Publications Limited
  • ISBN: N.A
  • Category: Social Science
  • Page: 528
  • View: 2467
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With indispensable advice for students from all social science backgrounds, this handbook provides the core conceptual and practical skills to embark on succesful research. The organization of the book reflects the knowledge that is required in order to become a competent and effective researcher. It follows the life-cycle of the research project: it begins with a discussion of ethical and philosphical issues; presents guides to both quantitative and qualitative data collection and analysis; provides help on using computers in research; and includes advice on how to write up and present a research project. Based on the UK Economic and Social Research Council advice on the training which students should undertake in preparat

Research Training for Social Scientists

Research Training for Social Scientists

A Handbook for Postgraduate Researchers

  • Author: Dawn Burton
  • Publisher: SAGE
  • ISBN: 1446235513
  • Category: Social Science
  • Page: 528
  • View: 2948
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With indispensable advice for students from all social science backgrounds, this handbook provides the core conceptual and practical skills to embark on succesful research. The organization of the book reflects the knowledge that is required in order to become a competent and effective researcher. It follows the life-cycle of the research project: it begins with a discussion of ethical and philosphical issues; presents guides to both quantitative and qualitative data collection and analysis; provides help on using computers in research; and includes advice on how to write up and present a research project. Based on the UK Economic and Social Research Council advice on the training which students should undertake in preparation for postgraduate research, this book will be invaluable for all beginning researchers.

Research Training for Social Scientists

Research Training for Social Scientists

A Handbook for Postgraduate Researchers

  • Author: Dawn Burton
  • Publisher: SAGE
  • ISBN: 0761963510
  • Category: Social Science
  • Page: 503
  • View: 5890
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With indispensable advice for students from all social science backgrounds, this handbook provides the core conceptual and practical skills to embark on succesful research. The organization of the book reflects the knowledge that is required in order to become a competent and effective researcher. It follows the life-cycle of the research project: it begins with a discussion of ethical and philosphical issues; presents guides to both quantitative and qualitative data collection and analysis; provides help on using computers in research; and includes advice on how to write up and present a research project. Based on the UK Economic and Social Research Council advice on the training which students should undertake in preparat

Essential Mathematics for Political and Social Research

Essential Mathematics for Political and Social Research

  • Author: Jeff Gill
  • Publisher: Cambridge University Press
  • ISBN: 0521834260
  • Category: Mathematics
  • Page: 448
  • View: 2912
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This 2006 book addresses the comprehensive introduction to the mathematical principles needed by modern social scientists.

Ethics and Experiments

Ethics and Experiments

Problems and Solutions for Social Scientists and Policy Professionals

  • Author: Scott Desposato
  • Publisher: Routledge
  • ISBN: 1317438663
  • Category: Political Science
  • Page: 336
  • View: 4515
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For most of political science's history, discussions about professional ethics had nothing to do with human subjects. Professional ethics involved integrity in the classroom, fair tenure and promotion rule, and the careful avoidance of plagiarism. As most research was observational, there was little need for attention to how scholarly activities might directly affect the subjects of our work. Times have changed. The dramatic growth in the use of experiments in social science, especially overseas, is generating unexpected ethical controversies. The purpose of this volume is to identify, debate, and propose practical solutions to the most critical of these new ethical issues. A leading team of internationally distinguished political science scholars presents the first examination of the practical and ethical challenges of research with human subjects in social science and policy studies. Part 1 examines contextual challenges provided by experiments conducted overseas - questions of culture, religion, security, and poverty. Part 2 examines questions of legal constraints on research, focusing on questions of foreign review of international experiments. Part 3 tackles the critical issues in field experiments, including deception and consent, impact on elections and careers, the boundaries of the public officials' exemption, and the use of partner organizations to avoid Institutional Review Body (IRB) review. Part 4 considers strategies for the future, including training and education, IRB reform, institutional changes, and norm development.

Social Science Research

Social Science Research

Principles, Methods, and Practices

  • Author: Anol Bhattacherjee
  • Publisher: CreateSpace
  • ISBN: 9781475146127
  • Category: Science
  • Page: 156
  • View: 557
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This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

A Mathematics Course for Political and Social Research

A Mathematics Course for Political and Social Research

  • Author: Will H. Moore,David A. Siegel
  • Publisher: Princeton University Press
  • ISBN: 140084861X
  • Category: Political Science
  • Page: 456
  • View: 3727
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Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are written for mathematics or economics majors, and fail to convey to students of political science and sociology the reasons for learning often-abstract mathematical concepts. A Mathematics Course for Political and Social Research fills this gap, providing both a primer for math novices in the social sciences and a handy reference for seasoned researchers. The book begins with the fundamental building blocks of mathematics and basic algebra, then goes on to cover essential subjects such as calculus in one and more than one variable, including optimization, constrained optimization, and implicit functions; linear algebra, including Markov chains and eigenvectors; and probability. It describes the intermediate steps most other textbooks leave out, features numerous exercises throughout, and grounds all concepts by illustrating their use and importance in political science and sociology. Uniquely designed and ideal for students and researchers in political science and sociology Uses practical examples from political science and sociology Features "Why Do I Care?" sections that explain why concepts are useful Includes numerous exercises Complete online solutions manual (available only to professors, email david.siegel at duke.edu, subject line "Solution Set") Selected solutions available online to students

Theory Construction and Model-building Skills

Theory Construction and Model-building Skills

A Practical Guide for Social Scientists

  • Author: James Jaccard,Jacob Jacoby
  • Publisher: Guilford Press
  • ISBN: 1606233408
  • Category: Psychology
  • Page: 391
  • View: 9809
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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.

Quantitative Social Science

Quantitative Social Science

An Introduction

  • Author: Kosuke Imai
  • Publisher: Princeton University Press
  • ISBN: 1400885256
  • Category: Social Science
  • Page: 432
  • View: 3185
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Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

Creative Research Methods in the Social Sciences

Creative Research Methods in the Social Sciences

A Practical Guide

  • Author: Kara, Helen
  • Publisher: Policy Press
  • ISBN: 1447316266
  • Category: Political Science
  • Page: 224
  • View: 2124
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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.

Handbook of Survey Methodology for the Social Sciences

Handbook of Survey Methodology for the Social Sciences

  • Author: Lior Gideon
  • Publisher: Springer Science & Business Media
  • ISBN: 1461438764
  • Category: Social Science
  • Page: 520
  • View: 6295
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Surveys enjoy great ubiquity among data collection methods in social research: they are flexible in questioning techniques, in the amount of questions asked, in the topics covered, and in the various ways of interactions with respondents. Surveys are also the preferred method by many researchers in the social sciences due to their ability to provide quick profiles and results. Because they are so commonly used and fairly easy to administer, surveys are often thought to be easily thrown together. But designing an effective survey that yields reliable and valid results takes more than merely asking questions and waiting for the answers to arrive. Geared to the non-statistician, the Handbook of Survey Methodology in Social Sciences addresses issues throughout all phases of survey design and implementation. Chapters examine the major survey methods of data collection, providing expert guidelines for asking targeted questions, improving accuracy and quality of responses, while reducing sampling and non-sampling bias. Relying on the Total Survey Error theory, various issues of both sampling and non-sampling sources of error are explored and discussed. By covering all aspects of the topic, the Handbook is suited to readers taking their first steps in survey methodology, as well as to those already involved in survey design and execution, and to those currently in training. Featured in the Handbook: • The Total Survey Error: sampling and non-sampling errors. • Survey sampling techniques. • The art of question phrasing. • Techniques for increasing response rates • A question of ethics: what is allowed in survey research? • Survey design: face-to-face, phone, mail, e-mail, online, computer-assisted.? • Dealing with sensitive issues in surveys. • Demographics of respondents: implications for future survey research. • Dealing with nonresponse, and nonresponse bias The Handbook of Survey Methodology in Social Sciences offers how-to clarity for researchers in the social and behavioral sciences and related disciplines, including sociology, criminology, criminal justice, social psychology, education, public health, political science, management, and many other disciplines relying on survey methodology as one of their main data collection tools.

Doing Discourse Research

Doing Discourse Research

An Introduction for Social Scientists

  • Author: Reiner Keller
  • Publisher: SAGE
  • ISBN: 1446290670
  • Category: Social Science
  • Page: 176
  • View: 5155
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This book provides an introduction to the basic principles of discourse research, offering practical research strategies for doing discourse analyses in the social sciences. The book includes guidance on developing a research question, selecting data and analyzing it, and presenting the results. The author has extensive practical experience in the field of discourse research and shows, throughout, how the methods suggested are compatible with numerous research questions and problems in sociology, cultural, political and social studies and related disciplines.

Going Public

Going Public

A Guide for Social Scientists

  • Author: Arlene Stein,Jessie Daniels
  • Publisher: University of Chicago Press
  • ISBN: 022636478X
  • Category: Language Arts & Disciplines
  • Page: 230
  • View: 5490
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Introduction: so you want to go public? -- Writing beyond the academy -- Telling stories about your research -- Books for general audiences -- The digital turn -- Building an audience -- The perils of going public -- Making it count, making a difference

Data Analysis for the Social Sciences

Data Analysis for the Social Sciences

Integrating Theory and Practice

  • Author: Douglas Bors
  • Publisher: SAGE
  • ISBN: 1526422301
  • Category: Social Science
  • Page: 664
  • View: 7310
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'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, Psychology, Swansea University 'This unique text presents the conceptual underpinnings of statistics as well as the computation and application of statistics to real-life situations--a combination rarely covered in one book. A must-have for students learning statistical techniques and a go-to handbook for experienced researchers.' —Barbra Teater, Social Work, College of Staten Island, City University of New York Accessible, engaging, and informative, this book will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling through to t-tests, multiple regression and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types and results reliability. It shows you how to: Describe data with graphs, tables, and numbers Calculate probability and value distributions Test a priori and post hoc hypotheses Conduct Chi-squared tests and observational studies Structure ANOVA, ANCOVA, and factorial designs Supported by lots of visuals and a website with interactive demonstrations, author video, and practice datasets, this book is the student-focused companion to support students through their statistics journeys.

Social Research Methods

Social Research Methods

  • Author: Alan Bryman
  • Publisher: Oxford University Press
  • ISBN: 0199689458
  • Category:
  • Page: 824
  • View: 6410
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This best-selling introduction to research methods provides students and researchers with unrivalled coverage of both quantitative and qualitative methods, making it invaluable for anyone embarking on social research. Bridging the gap between theory and practice, Social Research Methods is packed full of engaging examples and practical tips to equip students with the tools and knowledge needed for them to complete their own research projects. In addition to providing practical advice, Bryman deftly explores thenature of social research and the wider issues impinging on it. This book is supported by an Online Resource Centre, which includes:For Students* A researcher's toolkit to take students step by step through the research process* Multiple choice questions to help students test their knowledge and understanding* A guide to using Excel in data analysis to help develop analytical skillsFor Lecturers* A test bank of questions which can be customized to meet teaching needs* PowerPoint slides for each chapter* New seminar outlines including suggested activities and tasks * New exam and course work questions to set in class

Laboratory Experiments in the Social Sciences

Laboratory Experiments in the Social Sciences

  • Author: Murray Webster,Jane Sell
  • Publisher: Elsevier
  • ISBN: 9780080546148
  • Category: Psychology
  • Page: 576
  • View: 9526
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Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses “how-to explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences. This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance. · Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing · Offers "how-to" explanations of the problems and challenges faced by everyone involved in social science experiments · Pays attention to both practical problems and to theoretical and philosophical arguments · Defines commonalities and distinctions within and among experimental situations across the social sciences

Ethical Imperialism

Ethical Imperialism

Institutional Review Boards and the Social Sciences, 1965–2009

  • Author: Zachary M. Schrag
  • Publisher: JHU Press
  • ISBN: 9780801899140
  • Category: History
  • Page: 264
  • View: 8703
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This short, smart analysis will engage scholars across academia.

The Behavioral and Social Sciences

The Behavioral and Social Sciences

Achievements and Opportunities

  • Author: Committee on Basic Research in the Behavioral and Social Sciences,Commission on Behavioral and Social Sciences and Education,Division of Behavioral and Social Sciences and Education,National Research Council
  • Publisher: National Academies Press
  • ISBN: 0309542782
  • Category: Science
  • Page: 279
  • View: 1692
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This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.

Applied Missing Data Analysis

Applied Missing Data Analysis

  • Author: Craig K. Enders
  • Publisher: Guilford Press
  • ISBN: 1606236407
  • Category: Psychology
  • Page: 377
  • View: 7556
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Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data. Easy-to-follow examples and small simulated data sets illustrate the techniques and clarify the underlying principles. The companion website (www.appliedmissingdata.com) includes data files and syntax for the examples in the book as well as up-to-date information on software. The book is accessible to substantive researchers while providing a level of detail that will satisfy quantitative specialists.

Qualitative Interviewing

Qualitative Interviewing

  • Author: Svend Brinkmann
  • Publisher: Oxford University Press
  • ISBN: 0199861390
  • Category: Psychology
  • Page: 177
  • View: 7082
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Qualitative interviewing has today become one of the most common research methods across the human and social sciences, but it is an approach that comes in different guises. Qualitative Interviewing will help its readers write, represent, understand, and critique qualitative interview research in its many forms as currently practiced. The book begins with a theoretically informed introduction to qualitative interviewing by presenting a variegated landscape of how conversations have been used for knowledge-producing purposes. Particular attention is paid to the complementary positions of experience-focused interviewing (phenomenological positions) and language-focused interviewing (discourse-oriented positions), which focus on interview talk as reports (of the experiences of interviewees) and accounts (occasioned by the situation of interviewing), respectively. The following chapters address various ways of designing qualitative interview studies and a guide to writing up the methodological procedures and results of an interview study. The book concludes with a presentation of the most common errors in interview reports, offering a range of solutions and strategies for evaluating research findings based on qualitative interviews.