Guide to Methods for Students of Political Science PDF Download

Author: Stephen Van Evera
Publisher: Cornell University Press
ISBN: 0801454441
Category : Political Science
Languages : en
Pages : 148

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Book Description
Stephen Van Evera greeted new graduate students at MIT with a commonsense introduction to qualitative methods in the social sciences. His helpful hints, always warmly received, grew from a handful of memos to an underground classic primer. That primer evolved into a book of how-to information about graduate study, which is essential reading for graduate students and undergraduates in political science, sociology, anthropology, economics, and history - and for their advisers. -How should we frame, assess, and apply theories in the social sciences? "I am unpersuaded by the view that the prime rules of scientific method should differ between hard science and social science. Science is science." -A section on case studies shows novices the ropes. -Van Evera contends the realm of dissertations is often defined too narrowly "Making and testing theories are not the only games in town.... If everyone makes and tests theories but no one ever uses them, then what are they for?" -In "Helpful Hints on Writing a Political Science Ph.D. Dissertation," Van Evera focuses on presentation, and on broader issues of academic strategy and tactics. -Van Evera asks how political scientists should work together as a community. "All institutions and professions that face weak accountability need inner ethical rudders that define their obligations in order to stay on course."

Author: Gregory R. Hancock
Publisher: Routledge
ISBN: 1135172994
Category : Education
Languages : en
Pages : 449

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Book Description
Designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.

Author: Judith A. Holton
Publisher: SAGE Publications
ISBN: 1483372561
Category : Social Science
Languages : en
Pages : 243

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Book Description
Classic Grounded Theory: Applications With Qualitative and Quantitative Data provides practical “how to” guidance for doing grounded theory (GT) using the classic approach articulated by Barney Glaser. Authors Judith A. Holton and Isabelle Walsh emphasize the philosophical flexibility of classic GT as a “full package” approach that can be applied to any study and any type of data where the goal is to discover and generate a conceptually integrated theory. Drawing on the experiences of novice researchers who have participated in GT troubleshooting seminars, the book provides step-by-step guidance on undertaking a research study that stays true to the classic GT practice paradigm.

Author: John W. Creswell
Publisher: SAGE
ISBN: 1452226105
Category : Reference
Languages : en
Pages : 305

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Book Description
The bestseller that pioneered the comparison of qualitative, quantitative, and mixed methods research design continues in its Fourth Edition to help students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis.

Author: Roger E Millsap
Publisher: SAGE Publications
ISBN: 141293091X
Category : Psychology
Languages : en
Pages : 801

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Book Description
`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology' - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.

Author: Jeremy Dawson
Publisher: SAGE
ISBN: 1473952832
Category : Business & Economics
Languages : en
Pages : 128

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Book Description
In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.

Author: Ethan Bueno de Mesquita
Publisher: Princeton University Press
ISBN: 0691215014
Category : Social Science
Languages : en
Pages : 400

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Book Description
An engaging introduction to data science that emphasizes critical thinking over statistical techniques An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking. An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields Introduces the basic toolkit of data analysis—including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity Uses real-world examples and data from a wide variety of subjects Includes practice questions and data exercises

Author: Jane Ritchie
Publisher: SAGE
ISBN: 144623584X
Category : Social Science
Languages : en
Pages : 356

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Book Description
'An excellent introduction to the theoretical, methodological and practical issues of qualitative research... they deal with issues at all stages in a very direct, clear, systematic and practical manner and thus make the processes involved in qualitative research more transparent' - Nyhedsbrev 'This is a "how to" book on qualitative methods written by people who do qualitative research for a living.... It is likely to become the standard manual on all graduate and undergraduate courses on qualitative methods' - Professor Robert Walker, School of Sociology and Social Policy, University of Nottingham What exactly is qualitative research? What are the processes involved and what can it deliver as a mode of inquiry? Qualitative research is an exciting blend of scientific investigation and creative discovery. When properly executed, it can bring a unique understanding of people's lives which in turn can be used to deepen our understanding of society. It as a skilled craft used by practitioners and researchers in the 'real world'; this textbook illuminates the possibilities of qualitative research and presents a sequential overview of the process written by those active in the field. Qualitative Research Practice: - Leads the student or researcher through the entire process of qualitative research from beginning to end - moving through design, sampling, data collection, analysis and reporting. - Is written by practising researchers with extensive experience of conducting qualitative research in the arena of social and public policy - contains numerous case studies. - Contains plenty of pedagogical material including chapter summaries, explanation of key concepts, reflective points for seminar discussion and further reading in each chapter - Is structured and applicable for all courses in qualitative research, irrespective of field. Drawn heavily on courses run by the Qualitative Unit at the National Centre for Social Research, this textbook should be recommended reading for students new to qualitative research across the social sciences.

Author: Nigel Bruce
Publisher: John Wiley & Sons
ISBN: 111869337X
Category : Medical
Languages : en
Pages : 603

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Book Description
Quantitative Research Methods for Health Professionals: A Practical Interactive Course is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community. Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts. The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so. The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.

Author: John Lofland
Publisher:
ISBN:
Category :
Languages : en
Pages :

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