Author: Russell A. Jones
Publisher: Sinauer Associates Incorporated
Release Date: 1996
Genre: Social Science
This text acquaints the student with the diverse methods used in the social, psychological and behavioural sciences. The scientific question at hand affects the researcher's choice of methods, and this book helps students develop an appreciation for the sorts of hypotheses and questions that can be most profitably investigated with each method. The text emphasizes that the student needs to be acquainted with a variety of research methods, as there is no single perfect method. Along with the illustrative research in each chapter, the advantages and disadvantages of each method are discussed.
Offering a concise, comprehensive guide to conducting research on the Internet, this book provides a detailed explanation of all the main areas of Internet research. It distinguishes between primary research (using the Internet to recruit participants, to administer the research process and to collect results) and secondary research (using the Internet to access available material online). The book is designed for social science researchers and presents a user-friendly, practical guide that will be invaluable to both students and researchers who wish to incorporate the Internet into their research practice.
Author: Jerry Wellington
Publisher: A&C Black
Release Date: 2007-10-18
The aim of this book is to provide an introductory but not simplistic guide to research in the social and behavioural sciences. The book sets out to tackle difficult issues and concepts in a scholarly but accessible manner, providing ample guidance and signposts to further reading. We explore a wide range of questions about research and research methods, including: * What counts as 'good research'? * Research approaches, paradigms, methods and methodology: what are they and what is the difference? * What is the so-called 'qualitative/ quantitative'? * When and where is quantitative research indispensable? * If one suggests that research should be 'scientific' what does that mean? * What methods and methodologies are used in social research? * What is the role of statistics in social and behavioural research? How should statistical evidence be interpreted? * What are the ways in which research can, and should, be disseminated and presented? This book is aimed as much at the reflective, researching professional as for the professional researcher.
Author: Stanley Wasserman
Release Date: 1994-08-12
Genre: Social Science
In this book, leading methodologists address the issue of how effectively to apply the latest developments in social network analysis to behavioural and social science disciplines. Topics examined include: ways to specify the network contents to be studied; how to select the method for representing network structures; how social network analysis has been used to study interorganizational relations via the resource dependence model; how to use a contact matrix for studying the spread of disease in epidemiology; and how cohesion and structural equivalence network theories relate to studying social influence. The book also offers some statistical models for social support networks.
Author: Abbas Tashakkori
Release Date: 2003
Genre: Social Science
"The Handbook provides both philosophical and practical foundations for using mixed methods in social science inquiry. Theory about mixing methods is nicely balanced and illustrated with concrete examples. All aspects of inquiry are covered from conceptualizing research to selecting methods, analyzing and interpreting data, and reporting findings. The Handbook offers the most comprehensive review of mixed methods available anywhere. It will be a definitive reference for a long time to come." --MICHAEL QUINN PATTON, The Union Institute and Utilization-Focused Evaluation Written so that it can be used either as a pedagogical tool or as a reference for researchers, the book is rich in examples and includes a glossary, easy-to-follow diagrams, and tables to help readers become more familiar with the language and controversies in this evolving area.
Author: Herman J Ader
Release Date: 1999-12-07
Genre: Social Science
This is an ideal text for advanced courses in research methods and experimental design. It argues that the methodology of quantitative research is a unified discipline with basic notions, procedures and ways of reasoning which can be applied across the social, behavioural and life sciences. Key designs, models and methods in research are covered by leading contributors in their field who seek to explain the fundamentals of the research process to enable the student to understand the broader implications and unifying themes.
Author: Charles Teddlie
Publisher: SAGE Publications Inc
Release Date: 2009
Genre: Social Science
Foundations of Mixed Methods Research is the first comprehensive textbook on using mixed methods in the social sciences, written by two leading names in the field. Mixed methodology (combining quantitative and qualitative approaches) has become an increasingly popular way of both researching and teaching methodology across the social sciences, and students across these fields are expected to be proficient in both quantitative and qualitative techniques. This text begins with an introduction to and overview of the development of mixed methodology, and then takes students through all aspects of working with mixed methods from research design and data collection through to analysis and conclusions.
Author: David B. Flora
Release Date: 2017-12-11
Genre: Social Science
Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.
Appropriate for social science students, this text offers comprehensive coverage of both experimental and non-experimental methods. The author provides succinct explanations for a full range of methods, including descriptive, correlational, experimental, and quasi-experimental research designs. Practical tips and applications integrated throughout the text allow students to make real-world connections and understand the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Bart L. Weathington
Publisher: John Wiley & Sons
Release Date: 2017-09-13
A comprehensive introduction to research methods and best practices for designing,conducting, interpreting, and reporting findings This text is designed to develop in students a passion for conducting research and an understanding of the practical value of systematic information- gathering and decision-making. It features step-by-step coverage of the research process including research design, statistical considerations, and guidance on writing up and presenting results. Recognized leaders in the field—authors Bart Weathington, Christopher Cunningham, and David Pittenger—present: Introductions to multiple research designs—including single-participant, multi-group, longitudinal, correlational, and experimental designs—accompanied by examples Bibliographic research and methods for appropriate sampling Identifying, developing, and evaluating reliable and valid approaches to measurement The issues and steps common to all single-factor and multifactor studies, as well as single-subject and nonexperimental methods How to summarize research in writing that conforms to the editorial guidelines of the American Psychological Association A comprehensive review of research methods and the statistical concepts that support them, Research Methods for the Behavioral and Social Sciences offers the best techniques for studying behavior and social phenomena.
A Research Primer for the Social and Behavioral Sciences provides an introductory but comprehensive overview of the research process that primarily concerns human subjects. This book discusses the methods of acquiring knowledge, importance of a well-chosen problem, review of the literature, and relationship between theory-building and hypothesis-testing. The common sources of invalidity in practice, non-experimental research types, Stevens' classification of scales, and estimation based on probabilistic sampling are also elaborated. This text likewise covers the role of computer in research, techniques for analysis of data, univariate and bivariate statistics, and assumptions underlying analysis of variance. Other topics include the canonical correlation analysis, non-parametric analysis of variance, deterministic problem analysis techniques, and common errors in presentation of findings. This publication is intended for novice investigators in the broad category of social and behavioral sciences.
Author: Bernard E. Whitley, Jr.
Release Date: 2012-11-12
Intended for beginning graduate or advanced undergraduate students, this book provides a comprehensive review of research methods used in psychology and related disciplines. It covers topics that are often omitted in other texts including correlational and qualitative research and integrative literature reviews. Basic principles are reviewed for those who need a refresher. The focus is on conceptual issues – statistics are kept to a minimum. Featuring examples from all fields of psychology, the book addresses laboratory and field research. Chapters are written to be used independently, so instructors can pick and choose those that fit their course needs. Reorganized to parallel the steps of the research process, tips on writing reports are also provided. Each chapter features an outline, key terms, a summary, and questions and exercises that integrate chapter topics and put theory into practice. A glossary and an annotated list of readings are now included. Extensively updated throughout, the new edition features a new co-author, Mary Kite, and: • New chapters on qualitative research and content analysis and another on integrative literature reviews including meta-analysis, critical techniques for today’s research environment. • A new chapter on exploratory and confirmatory factor analysis that addresses the use of path analysis and structural equation modeling. • A new chapter on how to write a research report using APA style. • Examples from cross-cultural and multi-cultural research, neuroscience, cognitive, and developmental psychology along with ones from social, industrial, and clinical psychology. • More on Internet research and studies. • Greatly expanded Part 3 on research designs with chapters on true experiments, field research, correlational and single-case designs, content analysis, and survey and qualitative research. • A website with PowerPoint slides for each chapter, a test bank with short answer and multiple choice questions, additional teaching resources, and the tables and figures from the book for Instructor’s and chapter outlines, suggested readings, and links to related web sites for students. Intended as a text for beginning graduate and/or advanced undergraduate courses in research methods or experimental methods or design taught in psychology, human development, family studies, education, or other social and behavioral sciences, a prerequisite of undergraduate statistics and a beginning research methods course is assumed.
The internet is a compelling tool for research, enabling efficient, cost-effective data collection and facilitating access to large samples and new populations. This book presents a state-of-the-art guide to the internet as a tool for conducting research in the social and behavioural sciences using qualitative, quantitative and mixed methods approaches. New to this edition: Fully re-written to reflect the emergence of Web 2.0 technologies Expanded coverage of web surveys for data collection Unobtrusive methods to harvest data from online archives and documents New practical tools and resources, where to find them, and how to keep up-to-date with new developments as they emerge New chapter on research ethics and discussion of ethical practicalities throughout Guiding the reader through the theoretical, ethical and practical issues of using the internet in research, this is an essential resource for researchers wishing to assess how the latest techniques, tools and methods in internet-mediated research may support and expand research in their own field.