Research Methods and Data Analysis in the Social Sciences

Author: Thomas R. Herzog

Publisher: Prentice Hall

ISBN: 9780673991065

Category: Psychology

Page: 378

View: 9511

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: SAGE

ISBN: 1412994357

Category: Social Science

Page: 446

View: 8370

This book presents a method for bringing data analysis and statistical technique into line with theory. The author begins by describing the elaboration model for analyzing the empirical association between variables. She then introduces a new concept into this model, the focal relationship. Building upon the focal relationship as the cornerstone for all subsequent analysis, two analytic strategies are developed to establish its internal validity: an exclusionary strategy to eliminate alternative explanations, and an inclusive strategy which looks at the interconnected set of relationships predicted by theory. Using real examples of social research, the author demonstrates the use of this approach for two common forms of analysis, multiple linear regression and logistic regression. Whether learning data analysis for the first time or adding new techniques to your repertoire, this book provides an excellent basis for theory-based data analysis.

Introduction to Research Methods and Data Analysis in Psychology

Author: Darren Langdridge,Gareth Hagger-Johnson

Publisher: Pearson Education

ISBN: 9780131982031

Category: Psychology

Page: 558

View: 9110

This is a comprehensive introduction to research methods and data analysis. The book assumes no previous knowledge of research methods or psychology and provides an accessible and jargon-free way into this frequently difficult topic area.

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: 6551

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.

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: 2474

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.

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: 6323

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.

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: 6441

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.

Data Science and Social Research

Epistemology, Methods, Technology and Applications

Author: N. Carlo Lauro,Enrica Amaturo,Maria Gabriella Grassia,Biagio Aragona,Marina Marino

Publisher: Springer

ISBN: 3319554778

Category: Social Science

Page: 300

View: 8899

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

Statistics for the Social Sciences

Author: R. Mark Sirkin

Publisher: SAGE

ISBN: 9781412905466

Category: Mathematics

Page: 610

View: 4304

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.

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: 1020

"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.

Quantitative Data Analysis

Doing Social Research to Test Ideas

Author: Donald J. Treiman

Publisher: John Wiley & Sons

ISBN: 111851260X

Category: Education

Page: 476

View: 5370

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.

Spatial Data Analysis in the Social and Environmental Sciences

Author: Robert Haining

Publisher: Cambridge University Press

ISBN: 9780521448666

Category: Mathematics

Page: 409

View: 1963

Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data description, map interpolation, and exploratory and explanatory analyses. The book also examines spatial referencing, and methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. This is an important text for any discipline requiring a broad overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final year undergraduates in the fields of geography, environmental sciences and social sciences.

Analyzing Social Science Data

50 Key Problems in Data Analysis

Author: Professor David de Vaus

Publisher: SAGE

ISBN: 9781446226100

Category: Social sciences

Page: 402

View: 9476

In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships The book is a "tour de force" in making data analysis manageable and rewarding for today's undergraduate studying research methods. I'm full of admiration for this book. Once again, David de Vaus has come up with a superb book that is well written and organized and which will be a boon to a wide range of students. He has taken a vast array of problems that users of quantitative data analysis procedures are likely to encounter. The selection of issues and problems ... reflects the experience of a true practitioner with a grasp of his field and of the intricacies of the research process. The selection of issues clearly derives also from experience of teaching students how to do research and analyse data....A large number of practitioners will want the book. I was surprised at how much I learned from this. This will be a vital book for the bookshelves of practitioners of the craft of quantitative data analysis' - "Alan Bryman, Professor of Social Research, Loughborough University

Creative Research Methods in the Social Sciences

A Practical Guide

Author: Kara, Helen

Publisher: Policy Press

ISBN: 1447316266

Category: Political Science

Page: 224

View: 6012

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.

Basic Concepts in the Methodology of the Social Sciences

Author: Johann Mouton,H. C. Marais

Publisher: HSRC Press

ISBN: 9780796906489

Category: Humanities

Page: 276

View: 3699

This book consists of three major sections. In the first, which includes chapters 1 to 7, the basic concepts of the methodology of the social social sciences are discussed. In the second, chapters 8 and 9, the most important concepts of part one are integrated in discussions on the writing of research proposals and research reports. The third section (appendices) consists of three "case studies" in which the most important methodological principles which were discussed in the preceding sections are illustrated.

Research Design

The Logic of Social Inquiry

Author: John M. Bynner,Keith M. Stribley

Publisher: AldineTransaction

ISBN: 1412843847

Category: Social Science

Page: 354

View: 9643

Research Design: The Logic of Social Inquiry is a collection of critical writings on different aspects of social research. They have been carefully selected for the variety of approaches they display in relation to three broad styles of research: experimental, survey, and ethnographic. All are classic contributions to the development of methodology and excellent expositions of particular procedures. The book is organized in sections that detail the methods of a typical experimental research program design, data collection, and data analysis. These five sections include The Language of Social Research, Research Design, Data Collection, Measurement, and Data Analysis and Report. Each is preceded by an introduction stressing the unique strengths of the different viewpoints represented and reconciling them in one coherent approach to research. The volume includes displays of philosophical underpinnings of different methodological styles and important issues in research design. Data collection methods, particularly the problem of systematic bias in the data collected, and ways in which researchers may attempt to reduce it, are discussed. There is also a discussion on measurement in which the central issues of reliability, validity, and scale construction are detailed. This kind of synthesis, between such diverse schools of research as the experimentalists and the ethnographers, is of particular concern to social researchers. The book will be of great value to planners and researchers in local government and education departments and to all others engaged in social science or educational research.

Introduction to Research Methods and Data Analysis in the Health Sciences

Author: Gareth Hagger-Johnson

Publisher: Routledge

ISBN: 1317674413

Category: Medical

Page: 328

View: 2444

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.

The SAGE Handbook of Qualitative Data Analysis

Author: Uwe Flick

Publisher: SAGE

ISBN: 1446296695

Category: Social Science

Page: 664

View: 4619

The wide range of approaches to data analysis in qualitative research can seem daunting even for experienced researchers. This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text, sounds, images and virtual data. The handbook includes chapters on traditional analytic strategies such as grounded theory, content analysis, hermeneutics, phenomenology and narrative analysis, as well as coverage of newer trends like mixed methods, reanalysis and meta-analysis. Practical aspects such as sampling, transcription, working collaboratively, writing and implementation are given close attention, as are theory and theorization, reflexivity, and ethics. Written by a team of experts in qualitative research from around the world, this handbook is an essential compendium for all qualitative researchers and students across 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: 2378

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.