Search Results for "theory-based-data-analysis-for-the-social-sciences-undergraduate-research-methods-statistics-in-the-social-sciences"

Theory-Based Data Analysis for the Social Sciences

Theory-Based Data Analysis for the Social Sciences

  • Author: Carol S Aneshensel
  • Publisher: Pine Forge Press
  • ISBN: 9780761987369
  • Category: Social Science
  • Page: 254
  • View: 5512
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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

Teaching Research Methods in the Social Sciences

  • Author: Claire Wagner
  • Publisher: Routledge
  • ISBN: 1317046560
  • Category: Social Science
  • Page: 264
  • View: 6728
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How can excellence in the teaching of research methods be encouraged and ensured? This question has become increasingly important following the adoption of research methodology as a core part of many postgraduate and undergraduate courses. There has, however, been little discussion about the aims and methods of teaching the subject. In this volume; a number of authors from a variety of countries and disciplines employ their knowledge and experience towards the development of a 'pedagogical culture' in research methods. Their aim is to establish the extent of common concerns and challenges and to demonstrate ways in which these are being met. Intended to provide both a stimulus and source materials for the development of a more substantial and systematic literature in the field, the book will be of great interest to all those teaching research methods courses within social science disciplines.

Research Methods in the Social Sciences

Research Methods in the Social Sciences

  • Author: Bridget Somekh,Cathy Lewin
  • Publisher: SAGE
  • ISBN: 1412933900
  • Category: Social Science
  • Page: 376
  • View: 1569
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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

Reader's Guide to the Social Sciences

Reader's Guide to the Social Sciences

  • Author: Jonathan Michie
  • Publisher: Routledge
  • ISBN: 1135932263
  • Category: Social Science
  • Page: 2165
  • View: 6762
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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.

Applied Informetrics for Information Retrieval Research

Applied Informetrics for Information Retrieval Research

  • Author: Dietmar Wolfram
  • Publisher: Greenwood Publishing Group
  • ISBN: 9780313319709
  • Category: Language Arts & Disciplines
  • Page: 216
  • View: 558
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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

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: 2888
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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.

Discipline-Based Education Research

Discipline-Based Education Research

Understanding and Improving Learning in Undergraduate Science and Engineering

  • Author: National Research Council,Division of Behavioral and Social Sciences and Education,Board on Science Education,Committee on the Status, Contributions, and Future Directions of Discipline-Based Education Research
  • Publisher: National Academies Press
  • ISBN: 0309254140
  • Category: Education
  • Page: 282
  • View: 6189
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The National Science Foundation funded a synthesis study on the status, contributions, and future direction of discipline-based education research (DBER) in physics, biological sciences, geosciences, and chemistry. DBER combines knowledge of teaching and learning with deep knowledge of discipline-specific science content. It describes the discipline-specific difficulties learners face and the specialized intellectual and instructional resources that can facilitate student understanding. Discipline-Based Education Research is based on a 30-month study built on two workshops held in 2008 to explore evidence on promising practices in undergraduate science, technology, engineering, and mathematics (STEM) education. This book asks questions that are essential to advancing DBER and broadening its impact on undergraduate science teaching and learning. The book provides empirical research on undergraduate teaching and learning in the sciences, explores the extent to which this research currently influences undergraduate instruction, and identifies the intellectual and material resources required to further develop DBER. Discipline-Based Education Research provides guidance for future DBER research. In addition, the findings and recommendations of this report may invite, if not assist, post-secondary institutions to increase interest and research activity in DBER and improve its quality and usefulness across all natural science disciples, as well as guide instruction and assessment across natural science courses to improve student learning. The book brings greater focus to issues of student attrition in the natural sciences that are related to the quality of instruction. Discipline-Based Education Research will be of interest to educators, policy makers, researchers, scholars, decision makers in universities, government agencies, curriculum developers, research sponsors, and education advocacy groups.

Using Statistics in Social Research

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: 3106
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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.

Applied Econometrics Using the SAS System

Applied Econometrics Using the SAS System

  • Author: Vivek Ajmani
  • Publisher: John Wiley & Sons
  • ISBN: 1118210328
  • Category: Mathematics
  • Page: 328
  • View: 3496
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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.

Clinical Education in the Health Professions

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: 3724
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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.

Numbers, Hypotheses & Conclusions

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: 4486
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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.

Researching Social Life

Researching Social Life

  • Author: Nigel Gilbert
  • Publisher: SAGE
  • ISBN: 9780761972457
  • Category: Social Science
  • Page: 406
  • View: 9988
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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'

Designing and Conducting Survey Research

Designing and Conducting Survey Research

A Comprehensive Guide

  • Author: Louis M. Rea,Richard A. Parker
  • Publisher: John Wiley & Sons
  • ISBN: 0787981257
  • Category: Business & Economics
  • Page: 304
  • View: 3675
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Experiential Learning

Experiential Learning

Experience as the Source of Learning and Development

  • Author: David A. Kolb
  • Publisher: FT Press
  • ISBN: 0133892506
  • Category: Education
  • Page: 416
  • View: 2937
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Experiential learning is a powerful and proven approach to teaching and learning that is based on one incontrovertible reality: people learn best through experience. Now, in this extensively updated book, David A. Kolb offers a systematic and up-to-date statement of the theory of experiential learning and its modern applications to education, work, and adult development. Experiential Learning, Second Edition builds on the intellectual origins of experiential learning as defined by figures such as John Dewey, Kurt Lewin, Jean Piaget, and L.S. Vygotsky, while also reflecting three full decades of research and practice since the classic first edition. Kolb models the underlying structures of the learning process based on the latest insights in psychology, philosophy, and physiology. Building on his comprehensive structural model, he offers an exceptionally useful typology of individual learning styles and corresponding structures of knowledge in different academic disciplines and careers. Kolb also applies experiential learning to higher education and lifelong learning, especially with regard to adult education. This edition reviews recent applications and uses of experiential learning, updates Kolb's framework to address the current organizational and educational landscape, and features current examples of experiential learning both in the field and in the classroom. It will be an indispensable resource for everyone who wants to promote more effective learning: in higher education, training, organizational development, lifelong learning environments, and online.

Internet Data Collection

Internet Data Collection

  • Author: Samuel J. Best,Brian S. Krueger
  • Publisher: SAGE
  • ISBN: 9780761927105
  • Category: Computers
  • Page: 91
  • View: 6879
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Designed for researchers and students alike, the volume describes how to perform each stage of the data collection process on the Internet, including sampling, instrument design, and administration. Through the use of non-technical prose and illustrations, it details the options available, describes potential dangers in choosing them, and provides guidelines for sidestepping them. In doing so, though, it does not simply reiterate the practices of traditional communication modes, but approaches the Internet as a unique medium that necessitates its own conventions.

Statistical Analysis of Designed Experiments

Statistical Analysis of Designed Experiments

Theory and Applications

  • Author: Ajit C. Tamhane
  • Publisher: John Wiley & Sons
  • ISBN: 1118491432
  • Category: Science
  • Page: 720
  • View: 2267
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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.

Constructing the Self in a Mediated World

Constructing the Self in a Mediated World

  • Author: Debra Grodin,Thomas R. Lindlof
  • Publisher: SAGE Publications
  • ISBN: 1452247900
  • Category: Language Arts & Disciplines
  • Page: 240
  • View: 3090
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In today's world, identities are no longer built solely within communities of family, neighbourhood, school and work - the media plays an important role in formulating our identities or constructions of self. This volume brings together the usually segregated areas of interpersonal and mass communication, and also incorporates work from sociology, psychology and women's studies. Each contributor examines our understanding of self both within a specific context of mediated culture and within a specific theoretical framework, such as critical theory, social constructionism and feminism.

Courses of Study

Courses of Study

  • Author: Cornell University
  • Publisher: N.A
  • ISBN: N.A
  • Category: Education
  • Page: N.A
  • View: 3249
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Lectures on Categorical Data Analysis

Lectures on Categorical Data Analysis

  • Author: Tamás Rudas
  • Publisher: Springer
  • ISBN: 1493976931
  • Category: Social Science
  • Page: 285
  • View: 1399
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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.

General Theory of Statistics

General Theory of Statistics

  • Author: Victor Aladjev,Valery Haritonov
  • Publisher: Fultus Corporation
  • ISBN: 9781596820128
  • Category: Mathematics
  • Page: 251
  • View: 5769
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Book Description fields of social and economic sciences. The book presents a manual on the course General Theory of Statistics, including a series of not quite traditional topics. First of all, it concerns the mathematical bases of statistics and use of computer technologies in statistical probing. Thematic choice of the chapters and sections of the book is caused not only by interests and tastes of the authors, but also by modern tendencies in applied statistics and orientation of the given work. The book is based on a course of lectures given by the first author for undergraduates in social and economic sciences along with three books published in Russian and English in Estonia, Lithuania and Byelorussia. This book has been written for a large enough audience of teachers, researchers, statisticians, students, collegians and users of statistics in behavioral and social sciences. Above all, the book is directed to a wide circle of the readers studying statistical disciplines in high schools and colleges; however, it can be useful also to persons independently studying statistics.