Research Methods and Data Analysis in the Social Sciences

Author: Thomas R. Herzog

Publisher: Prentice Hall

ISBN: 9780673991065

Category: Psychology

Page: 378

View: 917

Employing a clear, straightforward framework, this text focuses on the types of data most commonly produced by the basic research methods of observation, survey, and experiment, the text pairs each method chapter with a chapter on the analysis of the types of results usually obtained with that type of research.

Theory-Based Data Analysis for the Social Sciences

Author: Carol S Aneshensel

Publisher: Pine Forge Press

ISBN: 9780761987369

Category: Social Science

Page: 254

View: 1586

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.

Introduction to Research Methods and Data Analysis in Psychology

Author: Darren Langdridge

Publisher: Pearson Education

ISBN: 9780130978325

Category: Psychology

Page: 410

View: 1190

Introduction to Research Methods and Data Analysis in Psychology provides coverage of both quantitative and qualitative methods. This includes detail of the statistical analysis of data (by hand and using SPSS for Windows version 11.0) and the analysis of qualitative data with all the major approaches in use today. Few other single books provide the same level of coverage of quantitative and qualitative approaches. The book includes activity boxes providing exercises designed to further cement knowledge and understanding. Study boxes are used throughout to give examples of the application of research methods and data analysis with cutting-edge research in psychology. Introduction to Research Methods and Data Analysis in Psychology is accessible to undergraduate students studying other social science disciplines and is also appropriate for A-level students beginning to study psychology.

Statistics for the Social Sciences

Author: R. Mark Sirkin

Publisher: SAGE

ISBN: 9781412905466

Category: Mathematics

Page: 610

View: 7989

Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.

Text Mining for Qualitative Data Analysis in the Social Sciences

A Study on Democratic Discourse in Germany

Author: Gregor Wiedemann

Publisher: Springer

ISBN: 3658153091

Category: Social Science

Page: 294

View: 7219

Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.

Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences

Author: Michael J. Albers

Publisher: John Wiley & Sons

ISBN: 111929018X

Category: Mathematics

Page: 240

View: 5837

Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data’s contextual situation. Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following: • The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis • A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data • Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends • Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems • A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human–information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.

Introduction to Research Methods and Data Analysis in the Health Sciences

Author: Gareth Hagger-Johnson

Publisher: Routledge

ISBN: 1317674413

Category: Medical

Page: 310

View: 9386

Whilst the ‘health sciences’ are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills required to analyse them are very similar. Moreover, the ability to appraise and conduct research is emphasised within the health sciences – and students are expected increasingly to do both. Introduction to Research Methods and Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis. Divided into the three strands that run throughout quantitative health science research – critical numbers, critical appraisal of existing research, and conducting new research – this accessible textbook introduces: Descriptive statistics Measures of association for categorical and continuous outcomes Confounding, effect modification, mediation and causal inference Critical appraisal Searching the literature Randomised controlled trials Cohort studies Case-control studies Research ethics and data management Dissemination and publication Linear regression for continuous outcomes Logistic regression for categorical outcomes. A dedicated companion website offers additional teaching and learning resources for students and lecturers, including screenshots, R programming code, and extensive self-assessment material linked to the book’s exercises and activities. Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data, it is essential reading for all undergraduate and postgraduate students in the health and medical sciences.

Models and Methods in Social Network Analysis

Author: Peter J. Carrington,John Scott,Stanley Wasserman

Publisher: Cambridge University Press

ISBN: 9781139443432

Category: Social Science

Page: N.A

View: 3188

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Research in Practice

Applied Methods for the Social Sciences

Author: Martin Terre Blanche,Kevin Durrheim,Desmond Painter

Publisher: Juta and Company Ltd

ISBN: 9781919713694

Category: Social Science

Page: 594

View: 5141

A major shift in research methodology from technical to more contextual and pragmatic approaches, this thorough resource incorporates new trends while also providing comprehensive coverage of the full range of established research approaches and techniques, skillfully combining epistemology, methodology, statistics, and application in a volume that is both sophisticated and practical. Placing a greater emphasis on interdisciplinary and applied research skills, this guide encourages the concurrent use of qualitative and quantitative methods and explores such complex topics as ethical issues in social science research; inferential statistical methods; and Marxist, feminist, and black scholarship perspectives.

Quantitative Data Analysis

Doing Social Research to Test Ideas

Author: Donald J. Treiman

Publisher: John Wiley & Sons

ISBN: 111851260X

Category: Education

Page: 476

View: 7206

This book is an accessible introduction to quantitative dataanalysis, concentrating on the key issues facing those new toresearch, such as how to decide which statistical procedure issuitable, and how to interpret the subsequent results. Each chapterincludes illustrative examples and a set of exercises that allowsreaders to test their understanding of the topic. The book, writtenfor graduate students in the social sciences, public health, andeducation, offers a practical approach to making sociological senseout of a body of quantitative data. The book also will be useful tomore experienced researchers who need a readily accessible handbookon quantitative methods. The author has posted stata files, updates and data sets athis websitehttp://tinyurl.com/Treiman-stata-files-data-sets.

The SAGE Encyclopedia of Social Science Research Methods

Author: Michael Lewis-Beck,Alan E Bryman,Tim Futing Liao

Publisher: SAGE

ISBN: 9780761923633

Category: Social Science

Page: 1305

View: 6727

"The first encyclopedia to cover inclusively both quantitative and qualitative research approaches, this set provides clear explanations of 1,000 methodologies, avoiding mathematical equations when possible with liberal cross-referencing and bibliographies. Each volume includes a list of works cited, and the third contains a comprehensive index and lists of person names, organizations, books, tests, software, major concepts, surveys, and methodologies."--"Reference that rocks," American Libraries, May 2005.

Creative Research Methods in the Social Sciences

A Practical Guide

Author: Kara, Helen

Publisher: Policy Press

ISBN: 1447316266

Category: Political Science

Page: 224

View: 1703

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.

Research Methods in the Social Sciences

Author: Chava Frankfort-Nachmias,David Nachmias

Publisher: Hodder Arnold

ISBN: 9780340662267

Category: Social Science

Page: 617

View: 9999

The 5th edition of this successful book provides a comprehensive, non-technical introduction to the principal research methods employed in social science. It offers a carefully integrated treatment of its components; research theory, design, data collection and data analysis; and explores the progression from the conceptual and theoretical building blocks of the research process to data analysis and computer applications. Throughout, the authors draw on examples from both classic social science research studies and current social issues to provide students with an historical basis for appreciating how social science research applies to today's concerns. This new edition has been thoroughly revised to include current research study examples on contemporary social science issues, new computer exercises on data processing and analysis, an appendix on writing research reports, and a fully updated appendix on SPSS with coverage of SPSS/PC+ and SPSS for Windows.

Data Collection and Analysis

Author: Roger Sapsford,Victor Jupp

Publisher: SAGE

ISBN: 9780761943631

Category: Social Science

Page: 332

View: 2904

In simple and non-technical terms, this text illustrates a wide range of techniques and approaches used in social research projects.

Methodology and Epistemology of Multilevel Analysis

Approaches from Different Social Sciences

Author: D. Courgeau

Publisher: Springer Science & Business Media

ISBN: 9781402014758

Category: Business & Economics

Page: 235

View: 2513

The possibility to analyse human behaviours taking account of the multiple contexts in which they occur, is opening a new research avenue in social sciences. This book considers, through examples drawn from different social sciences, the methodological challenges multilevel analysis permits to answer and points out some limitations of these models. It also considers the more general philosophical and epistemological issues raised by their use, as the multilevel approach offers a mean to combine causal and systemic explanations.

Conducting Research in Conservation

Social Science Methods and Practice

Author: Helen Newing

Publisher: Routledge

ISBN: 1136934405

Category: Science

Page: 422

View: 343

This is the first textbook on social science research methods for use in the expanding and increasingly multidisciplinary field of environmental conservation. It is divided into five useful sections and illustrated throughout with practical examples of conservation-related research from different parts of the world (Europe, the Americas, Africa, Asia, Australia) and different ecosystems (forests, grasslands, desert, marine and riverine systems, as well as farmland and home gardens). It will be an invaluable tool in the training of the next generation of conservation professionals.

Handbook of Research Methods and Applications in Spatially Integrated Social Science

Author: Robert Stimson

Publisher: Edward Elgar Publishing

ISBN: 0857932977

Category: Social Science

Page: 688

View: 6903

The chapters in this book provide coverage of the theoretical underpinnings and methodologies that typify research using a Spatially Integrated Social Science (SISS) approach. This insightful Handbook is intended chiefly as a primer for students and bu

Research Methods and Communication in the Social Sciences

Author: Tesfa G. Gebremedhin,Luther G. Tweeten

Publisher: ABC-CLIO

ISBN: 0275949303

Category: Social Science

Page: 167

View: 9747

Integrates critical thinking and scientific method for graduate students, professors, and others doing research work in the social sciences.

Longitudinal Data Analysis

A Practical Guide for Researchers in Aging, Health, and Social Sciences

Author: Jason Newsom,Richard N. Jones,Scott M. Hofer

Publisher: Routledge

ISBN: 1136705465

Category: Psychology

Page: 405

View: 6285

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.