Theory-Based Data Analysis for the Social Sciences


Author: Carol S Aneshensel
Publisher: Pine Forge Press
ISBN: 9780761987369
Category: Social Science
Page: 254
View: 8117

Continue Reading →

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.

Teaching Research Methods in the Social Sciences


Author: Mark Garner,Claire Wagner,Barbara Kawulich
Publisher: Ashgate Publishing, Ltd.
ISBN: 9780754673545
Category: Social Science
Page: 244
View: 2928

Continue Reading →

This book is intended as a preliminary step towards the development of a pedagogical culture in research methodology. It contains chapters from a range of authors who are involved in the teaching of research methods in different countries and within a variety of disciplines. Their aim is to establish the extent to which there are common concerns and challenges and to demonstrate ways in which these are being met. The book provides both a stimulus and source materials for the development of a more substantial and systematic literature in the field.

Research Methods in the Social Sciences


Author: Bridget Somekh,Cathy Lewin
Publisher: SAGE
ISBN: 1412933900
Category: Social Science
Page: 376
View: 6788

Continue Reading →

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

Using Statistics in Social Research

A Concise Approach
Author: Scott M. Lynch
Publisher: Springer Science & Business Media
ISBN: 1461485738
Category: Social Science
Page: 229
View: 8420

Continue Reading →

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.

Reader's Guide to the Social Sciences


Author: Jonathan Michie
Publisher: Routledge
ISBN: 1135932263
Category: Social Science
Page: 2165
View: 442

Continue Reading →

This 2-volume work includes approximately 1,200 entries in A-Z order, critically reviewing the literature on specific topics from abortion to world systems theory. In addition, nine major entries cover each of the major disciplines (political economy; management and business; human geography; politics; sociology; law; psychology; organizational behavior) and the history and development of the social sciences in a broader sense.

Doing Research in Political Science

An Introduction to Comparative Methods and Statistics
Author: Paul Pennings,Hans Keman,Jan Kleinnijenhuis
Publisher: SAGE
ISBN: 1412903769
Category: Political Science
Page: 324
View: 8597

Continue Reading →

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.

Applied Survey Data Analysis


Author: Steven G. Heeringa,Brady T. West,Patricia A. Berglund
Publisher: CRC Press
ISBN: 9781420080674
Category: Mathematics
Page: 487
View: 5897

Continue Reading →

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/

Applied Informetrics for Information Retrieval Research


Author: Dietmar Wolfram
Publisher: Greenwood Publishing Group
ISBN: 9780313319709
Category: Language Arts & Disciplines
Page: 216
View: 7721

Continue Reading →

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.

Sourcebook of Family Theory and Research


Author: Vern L. Bengtson,Alan C. Acock,Katherine R. Allen,Peggye Dilworth-Anderson,David M. Klein
Publisher: SAGE
ISBN: 1452279101
Category: Family & Relationships
Page: 688
View: 3142

Continue Reading →

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.

Applied Econometrics Using the SAS System


Author: Vivek Ajmani
Publisher: John Wiley & Sons
ISBN: 1118210328
Category: Mathematics
Page: 328
View: 1760

Continue Reading →

The first cutting-edge guide to using the SAS® system for theanalysis of econometric data Applied Econometrics Using the SAS® System is thefirst book of its kind to treat the analysis of basic econometricdata using SAS®, one of the most commonly used software toolsamong today's statisticians in business and industry. This bookthoroughly examines econometric methods and discusses how datacollected in economic studies can easily be analyzed using theSAS® system. In addition to addressing the computational aspects ofeconometric data analysis, the author provides a statisticalfoundation by introducing the underlying theory behind each methodbefore delving into the related SAS® routines. The book beginswith a basic introduction to econometrics and the relationshipbetween classical regression analysis models and econometricmodels. Subsequent chapters balance essential concepts withSAS® tools and cover key topics such as: Regression analysis using Proc IML and Proc Reg Hypothesis testing Instrumental variables analysis, with a discussion ofmeasurement errors, the assumptions incorporated into the analysis,and specification tests Heteroscedasticity, including GLS and FGLS estimation,group-wise heteroscedasticity, and GARCH models Panel data analysis Discrete choice models, along with coverage of binary choicemodels and Poisson regression Duration analysis models Assuming only a working knowledge of SAS®, this book is aone-stop reference for using the software to analyze econometricdata. Additional features include complete SAS® code, Proc IMLroutines plus a tutorial on Proc IML, and an appendix withadditional programs and data sets. Applied Econometrics Usingthe SAS® System serves as a relevant and valuablereference for practitioners in the fields of business, economics,and finance. In addition, most students of econometrics are taughtusing GAUSS and STATA, yet SAS® is the standard in the workingworld; therefore, this book is an ideal supplement forupper-undergraduate and graduate courses in statistics, economics,and other social sciences since it prepares readers for real-worldcareers.

Numbers, Hypotheses & Conclusions

A Course in Statistics for the Social Sciences
Author: Kevin Durrheim,Colin Tredoux
Publisher: Juta and Company Ltd
ISBN: 9781919713311
Category: Social Science
Page: 542
View: 2815

Continue Reading →

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.

Clinical Education in the Health Professions

An Educator's Guide
Author: Clare Delany,Elizabeth Molloy
Publisher: Elsevier Health Sciences
ISBN: 072957900X
Category: Medical
Page: 304
View: 5008

Continue Reading →

Clinical settings are dynamic educational spaces that present both opportunities and barriers to learning and teaching. Designed to inform, challenge and educate health professionals about the evidence underpinning clinical education practices and outcomes, this multi-disciplinary book brings together important concepts in healthcare education and addresses context and processes of learning, professional identity and socialisation, feedback and assessment, ethics, and inter-professional education. The authors encourage teaching and learning practices based on research findings, expertise and innovation, and the development of individual teaching methods and styles from a theoretical base that provides relevant principles, direction and support. With clear links between theory, research and practice, collaboration from a broad range of clinical disciplines, and models for learning and teaching grounded in empirical research, Clinical Education in the Health Professions will become a standard reference for all health professionals and educators. examines patterns of practice in clinical education in the health professions, using a qualitative research focus identifies the roles of university and clinical educators, students, peers and patients in clinical education highlights implicit tensions in clinical education practice and presents strategies to identify and address such tensions challenges the reader to consider new approaches to clinical education that may optimise students’ learning and enculturation into the health professions Despite claims that clinical education lies at the heart of health care education, little empirical research has explored what constitutes effectiveness in clinical teaching and learning. This book draws on the research, ideas and expertise of researchers who have observed and researched different aspects of clinical education. Their research has spanned clinical education topics including professional identity and socialisation, assessment and feedback, pedagogical methods, clinical reasoning, dealing with ambiguity, dealing with diversity and interprofessional education. This book has been designed to synthesise empirical clinical education research and ideas about the context, value, processes and outcomes of clinical education. Each chapter presents a research based facet of clinical education as a platform from which knowledge and future research in clinical education can occur. The authors entice the reader to reconceptualise facets of their own teaching and learning practices based on research findings, expertise and innovation.

Researching Social Life


Author: Nigel Gilbert
Publisher: SAGE
ISBN: 9780761972457
Category: Social Science
Page: 406
View: 1973

Continue Reading →

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'

In Search of Structure

Essays in Social Science and Methodology
Author: M. Fennema,C. van der Eijk,Huibert Schijf
Publisher: Het Spinhuis
ISBN: 9789055891146
Category: Social sciences
Page: 277
View: 3946

Continue Reading →

Lectures on Categorical Data Analysis


Author: Tamás Rudas
Publisher: Springer
ISBN: 1493976931
Category: Social Science
Page: 285
View: 4616

Continue Reading →

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.

Geographic Information Systems for the Social Sciences

Investigating Space and Place
Author: Steven J. Steinberg,Sheila L. Steinberg
Publisher: SAGE
ISBN: 9780761928737
Category: Social Science
Page: 252
View: 5943

Continue Reading →

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.

Question Evaluation Methods

Contributing to the Science of Data Quality
Author: Jennifer Madans,Kristen Miller,Aaron Maitland,Gordon Willis
Publisher: John Wiley & Sons
ISBN: 1118036999
Category: Mathematics
Page: 378
View: 5478

Continue Reading →

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.

Statistical Analysis of Designed Experiments

Theory and Applications
Author: Ajit C. Tamhane
Publisher: John Wiley & Sons
ISBN: 1118491432
Category: Science
Page: 720
View: 4115

Continue Reading →

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.