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This volume offers students a basic introduction to assessing the meaning and validity of research in the social sciences and related fields. The ability to "read "published research critically is essential and is different from the skills involved in "undertaking "research using statistical analysis. Thomas R Black explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Are the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached?
Much applied research takes place as if complex social problems--and evaluations of interventions to address them--can be dealt with in a purely technical way. In contrast, this groundbreaking book offers an alternative approach that incorporates sustained, systematic reflection about researchers' values, what values research promotes, how decisions about what to value are made and by whom, and how judging the value of social interventions takes place. The authors offer practical and conceptual guidance to help researchers engage meaningfully with value conflicts and refine their capacity to engage in deliberative argumentation. Pedagogical features include a detailed evaluation case, "Bridge to Practice" exercises and annotated resources in most chapters, and an end-of-book glossary.
We often decide what to believe and what to question on the basis of a simple rule of thumb like believe the trustworthy source or trust the expert. Sometimes, however, reliable and well-informed sources support both sides of the controversy. Whom are we to trust? How can we make a decision on the issue at hand? The second edition of Evaluating Social Science Research provides methods for thinking critically about claims of factual knowledge and drawing appropriate conclusions.The authors have added new sections to the book to reflect the new developments in the field since the appearance of the first edition sixteen years ago. Included is an expanded discussion of observational method that addresses the issues of validity that are now more clearly understood. There is an explicit discussion of quasi-experimental research design, including an added distinction between equivalent-group and nonequivalent-group experiments. New explanations of the logic of multiple regression analysis, casual modeling, and meta-analysis have been provided as well.The new edition, while recognizing the limits of each research method, retains its emphasis on the importance of observations that may be repeated and checked by other researchers. It treats the reader as a key actor who can advance knowledge by cross-checking observations and interpretations.
This book examines very important issues in research evaluation in the Social Sciences and Humanities. It is based on recent experiences carried out in Italy (2011-2015) in the fields of research assessment, peer review, journal classification, and construction of indicators, and presents a systematic review of theoretical issues influencing the evaluation of Social Sciences and Humanities. Several chapters analyse original data made available through research assessment exercises. Other chapters are the result of dedicated and independent research carried out in 2014-2015 aimed at addressing some of the debated and open issues, for example in the evaluation of books, the use of Library Catalog Analysis or Google Scholar, the definition of research quality criteria on internationalization, as well as opening the way to innovative indicators. The book is therefore a timely and important contribution to the international debate.
The ability to read published research critically is essential and is different from the skills involved in undertaking research using statistical analysis. This New Edition of Thomas R Black's best-selling text explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Is the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached? Each of the chapters from the New Edition has been thoroughly updated, with particular emphasis on improving and increasing the range of activities for students. As well, coverage has been broadened to include: a wider range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of `power' in statistical inference; calculating correlations; and a description of the difference between parametric and non-parametric tests in terms of research questions. Evaluating Social Science Research An Introduction 2nd Edition will be key reading for undergraduate and postgrduate students in research methodology and evaluation across the social sciences.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
The book is intended to help students understand and interpret research articles and how to evaluate what was done in the research. It is not intended to show them how to do research but rather how to understand research articles and evaluate that research.
Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ΓΏ
Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.