"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
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The eagerly anticipated Fourth Edition of the title that pioneered the comparison of qualitative, quantitative, and mixed methods research design is here! For all three approaches, Creswell includes a preliminary consideration of philosophical assumptions, a review of the literature, an assessment of the use of theory in research approaches, and refl ections about the importance of writing and ethics in scholarly inquiry. He also presents the key elements of the research process, giving specifi c attention to each approach. The Fourth Edition includes extensively revised mixed methods coverage, increased coverage of ethical issues in research, and an expanded emphasis on worldview perspectives.
Qualitative Research Design: An Interactive Approach, Second Edition provides researchers and students with a user-friendly, step-by-step guide to planning qualitative research. A bestseller in its First Edition, this invaluable book presents an innovative approach to the components of design and how they interact with each other. The text presents a clear strategy for creating coherent and workable relationships among these design components and highlights key design issues. Based on a course the author taught for seven years at the Harvard Graduate School of Education, the work is written in an informal, jargon-free style and incorporates many examples and hands-on exercises.
Author Paul E. Spector provides a clear introduction to the principles of experimental and non-experimental design, including single group design, pre-test, post-test designs, and factorial designs. Spector also covers hierarchical designs, multivariate designs, the Solomon four group design, panel designs, and designs with concomitant variables.
Systematic, practical, and accessible, this is the first book to focus on finding the most defensible design for a particular research question. Thoughtful guidelines are provided for weighing the advantages and disadvantages of various methods, including qualitative, quantitative, and mixed methods designs. The book can be read sequentially or readers can dip into chapters on specific stages of research (basic design choices, selecting and sampling participants, addressing ethical issues) or data collection methods (surveys, interviews, experiments, observations, archival studies, and combined methods). Many chapter headings and subheadings are written as questions, helping readers quickly find the answers they need to make informed choices that will affect the later analysis and interpretation of their data. Useful features include: *Easy-to-navigate part and chapter structure. *Engaging research examples from a variety of fields. *End-of-chapter tables that summarize the main points covered. *Detailed suggestions for further reading at the end of each chapter. *Integration of data collection, sampling, and research ethics in one volume. *Comprehensive glossary. See also Vogt et al.'s Selecting the Right Analyses for Your Data, which addresses the next steps in coding, analyzing, and interpreting data.
Providing a practical overview for graduates and professional researchers, this book highlights the central issues involved in the design of medium to large scale social and economic research. Covering both theoretical and policy research Hakim sets out the key features, strengths and limitations of eight main types of study, with illustrations from real life research of the kinds of questions each can best be used to answer. This book also offers a more general pragmatic discussion of strategies for choosing between one design and another, and on how different types of study can be successfully combined in wider ranging research programmes. In this expanded second edition the author has added new material on areas of contemporary significance across the social and economic sciences. New features to this edition are: * a chapter on cross-national comparative studies * more examples throughout the text of comparative research both within Europe and across modern societies * discussions of student theses, advocacy research, selection effects and collaboration.
With this book David de Vaus has written one of the best general research methods textbooks around. The use of different types of research design as the point of departure is a different and very helpful approach to take, especially since many textbooks confuse issues of method and design. The author outlines with great clarity a wide variety of issues, including testing theories, causation, data analysis, and the main considerations involved in using the different research designs covered. Both students and their instructors will find this an extremely valuable, well-written book' - "Professor Alan Bryman, University of Loughborough " A wonderful opportunity for research design students and practitioners to think more about the planning and process of research design' - "Forum for Qualitative Social Research " This book is intended to show social science students the importance of attending to design issues when undertaking social research. One of the main problems in doing practical research is that design and structure are inappropriate for the uses of research. They often do not support the conclusions that are drawn from it. Several research methods books focus on data collection strategy and statistical analysis. While these issues are pertinent, this book argues that the core of research methods is the structure and design of the research. The book: - provides students with a clear understanding of the importance of research design and its place in the research process. - describes the main types of research designs in social research. - explains the logic and purposes of design to enable students to evaluate particular research strategies - equips students with the design skills to operate in real world research situations The book is divided into five parts. Part One explores issues about types of research, research concepts, research questions, causality and basic issues in the design process. The remaining four parts focus on different types of research design. Experimental, longitudinal, cross-sectional and case-study methods are clearly and systematically examined, and their strengths and weaknesses are described. The result is a one-stop critical guide to design in social research that students and researchers will find invaluable.
This book gives researchers and students a user-friendly, step-by-step guide to planning qualitative research. Based on a course that the author taught for 7 years at the Harvard Graduate School of Education, it is written in an informal, jargon-free style and incorporates many examples and hands-on exercises. Rather than the rigid, linear approach to design that is usually found in research methods textbooks--and which is particularly ill suited for qualitative research--this book presents a flexible, systemic model of design. This model not only better fits what experienced qualitative researchers actually do, but provides a clear framework for designing a study and developing a research proposal. This edition includes new or substantially expanded discussions of research paradigms, defining a research problem, site and participant selection, relationships with research participants, data analysis, and validity, as well as more examples and exercises.
Previous ed. cataloged as: Qualitative inquiry & research design. c2007.
Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.