The advent of complex and powerful computer-generated statistical models has greatly eroded the former prominence of social theory in data analysis, replacing it with an emphasis on statistical technique. To correct this trend, Carol S. Aneshensel presents a method for bringing data analysis and statistical technique into line with theory.
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.
A companion website is available for this text! "This book provides an excellent balance between theory and practical application in social research. The book works well to develop students' understanding of particular methods of inquiry, embedding them within "real world" settings. I envisage that it will help students to understand the nuances of particular approaches, the complimentarity of certain methods, and the areas of conflict/contention within social research in a way that overcomes the sometimes abstract nature of these discussions" - Dr Jon Tan, School of Education and Professional Training, Leeds Metropolitan University "This book unlocks all of the important areas of social science research in an easily digestible and stimulating style. Both students and supervisors in a range of disciplines will find this an excellent resource" - Fazal Rizvi, Professor in Educational Policy Studies at the University of Illinois at Urbana-Champaign Rather than being written by one or two `generalists', this innovative book is written by a large number of active researchers about their specialisms in methods/methodologies. The book introduces all the key qualitative and quantitative research methodologies and methods and seeks to draw readers into a community of researchers engaged in reflection on the research process. Included are narrative accounts of carrying out a research study that explore the way in which the research design and methods are shaped by the methodology, discussing problematic issues, and reflecting on the way in which knowledge and understanding develop. Aimed at researchers and postgraduate students, it will also be invaluable for students at masters level. Click on the companion website logo above to access additional resources and links to accompany each chapter in the book. "Research Methods in the Social Sciences is a valuable pedagogical tool. It is organized as a dialogue between theory and key concepts, and practice - stories from the field allowing novices and scholars alike to see how critical interpretive research is actually conducted" - Norman K Denzin, University of Illinois
This two-volume handbook on current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences covers philosophical and ethical issues, theory construction, model building and types of models, survey and experiment design, measurement issues, observational methods, statistical methods, types of analysis, types of data, and common research fallacies.
Book & CD-ROM. This tutorial-based programme addresses some of the problems involved in teaching statistics to undergraduate social science students. These include the huge difference in ability among students, large classes that do not facilitate problem-based question-and-answer lecturing format, and a general resistance to statistics. The text emphasises contemporary approaches to data analysis, the role of statistics in sampling, and the idea that inference depends upon how sampling is conducted. The question of how one ensures that data is sound is explored with reference to measurement issues and test construction. It encourages problem-solving by getting students to go through worked examples and presenting open-ended problems and discussion questions.
Business & Economics by Larry Dwyer,Alison Gill,Neelu Seetaram
'This is an excellent book which significantly contributes to tourism research and education. It takes a rigorous yet readable style to address twenty five of the most pertinent quantitative and qualitative techniques applied in tourism research. the book will appeal to a wider readership of social scientists as well as to scholars of tourism as each chapter provides a thorough overview and explanation of the techniques irrespective of their tourism application.' – Dimitrios Buhalis, Bournemouth University, UK This insightful book explores the most important established and emerging qualitative and quantitative research methods in tourism. the authors provide a detailed overview of the nature of the research method, its use in tourism, the advantages and limitations, and future directions for research. Each chapter is structured to provide information on: the nature of the technique and its evolution; background and types of problems that the technique is designed to handle; applications of the technique to tourism, including discussion of studies that have used the technique and their findings; advantages and limitations of the technique conceptually and for policy formulation; and further developments and applications of the technique in tourism research. Handbook of Research Methods in Tourism will appeal to social scientists, students as well as researchers in tourism who use quantitative and qualitative research techniques.
Political Science by Elinor Scarbrough,Eric Tanenbaum
In this volume, a team of experts sets out various analytic tools available to social scientists from social science methodology. It guides them through the maze of advanced techniques applicable across the range of the social sciences.
Political Science by Paul Pennings,Hans Keman,Jan Kleinnijenhuis
An Introduction to Comparative Methods and Statistics
Author: Paul Pennings,Hans Keman,Jan Kleinnijenhuis
Category: Political Science
This is an immensely helpful book for students starting their own research... an excellent introduction to the comparative method giving an authoritative overview over the research process - Klaus Armingeon, University of Bern Doing Research in Political Science is the book for mastering the comparative method in all the social sciences - Jan-Erik Lane, University of Geneva This book has established itself as a concise and well-readable text on comparative methods and statistics in political science I...strongly recommend it. - Dirk Berg-Schlosser, Philipps-University Marburg This thoroughly revised edition of the popular textbook offers an accessible but comprehensive introduction to comparative research methods and statistics for students of political science. Clearly organized around three parts, the text introduces the main theories and methodologies used in the discipline. Part 1 frames the comparative approach within the methodological framework of the political and social sciences. Part 2 introduces basic descriptive and inferential statistical methods as well as more advanced multivariate methods used in quantitative political analysis. Part 3 applies the methods and techniques of Parts 1 & 2 to research questions drawn from contemporary themes and issues in political science. Incorporating practice exercises, ideas for further reading and summary questions throughout, Doing Research in Political Science provides an invaluable step-by-step guide for students and researchers in political science, comparative politics and empirical political analysis.
Reviews of the First Edition `... an ideal primary text for an undergraduate course in social research methods' - Teaching Sociology `This is a very impressive book. It is admirably written in clear, straightforward language, so that I can easily imagine undergraduates responding well to its use as a core text.' - Geoff Payne, Professor of Social Research, University of Plymouth `Provides an excellent introductory methods text that covers every stage of quantitative and qualitative research.' - Journal of Social Policy `an ideal text for undergraduates in a variety of disciplines who are taking research methods courses'
The purpose of the multilevel approach is to understand individual behaviors taking into account the social context in which they occur. This book deals with concepts and methods underlying this approach. This book is of interest to a broad audience of social scientists, statisticians and philosophers concerned with new issues raised by the multilevel approach, and more generally with explanation in the social sciences.
Research Design for Social Work and the Human Services integrates a range of research techniques into a single epistemological framework and presents a balanced approach to the teaching of research methods in the "helping professions." Jeane W. Anastas begins with a discussion of the different philosophical perspectives within which social research occurs and continues with problem formulation, research design, and methodological issues influencing data collection, analysis, and dissemination. She presents both fixed (quantitative) and flexible (qualitative) methods of research, granting legitimacy, value, utility, and relevance to both styles of inquiry. Utilizing complete case studies to illustrate different methodological approaches, Research Design for Social Work and the Human Services integrates material on women and people of color, and draws attention to the ways racism, heterosexism, sexism, and classism affect the conceptualization and conduct of research. Anastas not only exposes these biases but actively addresses the experiences, needs, and concerns of clients of both genders and different races, ethnicities, sexual orientations, cultures, and classes.
Mathematics by Steven G. Heeringa,Brady T. West,Patricia A. Berglund
Author: Steven G. Heeringa,Brady T. West,Patricia A. Berglund
Publisher: CRC Press
Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available software procedures while reinforcing the principles and theory that underlie those methods. After introducing a step-by-step process for approaching a survey analysis problem, the book presents the fundamental features of complex sample designs and shows how to integrate design characteristics into the statistical methods and software for survey estimation and inference. The authors then focus on the methods and models used in analyzing continuous, categorical, and count-dependent variables; event history; and missing data problems. Some of the techniques discussed include univariate descriptive and simple bivariate analyses, the linear regression model, generalized linear regression modeling methods, the Cox proportional hazards model, discrete time models, and the multiple imputation analysis method. The final chapter covers new developments in survey applications of advanced statistical techniques, including model-based analysis approaches. Designed for readers working in a wide array of disciplines who use survey data in their work, this book also provides a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. A guide to the applied statistical analysis and interpretation of survey data, it contains many examples and practical exercises based on major real-world survey data sets. Although the authors use Stata for most examples in the text, they offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s website: http://www.isr.umich.edu/src/smp/asda/
This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.
This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions. A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.” Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as well as a self-study resource for researchers and professionals. The book covers such key issues as: higher order interactions among categorical variables; the use of the delta-method to correctly determine asymptotic standard errors for complex quantities reported in surveys; the fundamentals of the main theories of causal analysis based on observational data; the usefulness of the odds ratio as a measure of association; and a detailed discussion of log-linear models, including graphical models. The book contains over 200 problems, many of which may also be used as starting points for undergraduate research projects. The material can be used by students toward a variety of goals, depending on the degree of theory or application desired.
Mathematics by Jennifer Madans,Kristen Miller,Aaron Maitland,Gordon Willis
Author: Jennifer Madans,Kristen Miller,Aaron Maitland,Gordon Willis
Publisher: John Wiley & Sons
Insightful observations on common question evaluation methods and best practices for data collection in survey research Featuring contributions from leading researchers and academicians in the field of survey research, Question Evaluation Methods: Contributing to the Science of Data Quality sheds light on question response error and introduces an interdisciplinary, cross-method approach that is essential for advancing knowledge about data quality and ensuring the credibility of conclusions drawn from surveys and censuses. Offering a variety of expert analyses of question evaluation methods, the book provides recommendations and best practices for researchers working with data in the health and social sciences. Based on a workshop held at the National Center for Health Statistics (NCHS), this book presents and compares various question evaluation methods that are used in modern-day data collection and analysis. Each section includes an introduction to a method by a leading authority in the field, followed by responses from other experts that outline related strengths, weaknesses, and underlying assumptions. Topics covered include: Behavior coding Cognitive interviewing Item response theory Latent class analysis Split-sample experiments Multitrait-multimethod experiments Field-based data methods A concluding discussion identifies common themes across the presented material and their relevance to the future of survey methods, data analysis, and the production of Federal statistics. Together, the methods presented in this book offer researchers various scientific approaches to evaluating survey quality to ensure that the responses to these questions result in reliable, high-quality data. Question Evaluation Methods is a valuable supplement for courses on questionnaire design, survey methods, and evaluation methods at the upper-undergraduate and graduate levels. it also serves as a reference for government statisticians, survey methodologists, and researchers and practitioners who carry out survey research in the areas of the social and health sciences.
Family & Relationships by Vern L. Bengtson,Alan C. Acock,Katherine R. Allen,Peggye Dilworth-Anderson,David M. Klein
Author: Vern L. Bengtson,Alan C. Acock,Katherine R. Allen,Peggye Dilworth-Anderson,David M. Klein
Category: Family & Relationships
Sponsored by the National Council on Family Relations, the Sourcebook of Family Theory and Research is the reference work on theory and methods for family scholars and students around the world. This volume provides a diverse, eclectic, and paradoxically mature approach to theorizing and demonstrates how the development of theory is crucial to the future of family research. The Sourcebook reflects an interactive approach that focuses on the process of theory building and designing research, thereby engaging readers in "doing" theory rather than simply reading about it. An accompanying Web site, http://www.ncfr.org/sourcebook, offers additional participation and interaction in the process of doing theory and making science.
The author demonstrates how informetric analysis of information retrieval system content and use provides valuable insights that have applications for the modeling, design, and evaluation of information retrieval systems.
Science by Daniel J. Decker,Shawn J. Riley,William F. Siemer
Author: Daniel J. Decker,Shawn J. Riley,William F. Siemer
Publisher: JHU Press
Wildlife professionals can more effectively manage species and social-ecological systems by fully considering the role that humans play in every stage of the process. Human Dimensions of Wildlife Management provides the essential information that students and practitioners need to be effective problem solvers. Edited by three leading experts in wildlife management, this textbook explores the interface of humans with wildlife and their sometimes complementary, often conflicting, interests. The book's well-researched chapters address conservation, wildlife use (hunting and fishing), and the psychological and philosophical underpinnings of wildlife management. Human Dimensions of Wildlife Management explains how a wildlife professional should handle a variety of situations, such as managing deer populations in residential areas or encounters between predators and people or pets. This thoroughly revised and updated edition includes detailed information about • systems thinking• working with social scientists• managing citizen input• using economics to inform decision making• preparing questionnaires• ethical considerations
Social Science by Steven J. Steinberg,Sheila L. Steinberg
Geographic Information Systems for the Social Sciences: Investigating Space and Place is the first book to take a cutting-edge approach to integrating spatial concepts into the social sciences. In this text, authors Steven J. Steinberg and Sheila L. Steinberg simplify GIS (Geographic Information Systems) for practitioners and students in the social sciences through the use of examples and actual program exercises so that they can become comfortable incorporating this research tool into their repertoire and scope of interest. The authors provide learning objectives for each chapter, chapter summaries, links to relevant Web sites, as well as suggestions for student research projects.
A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.