The Reviewer’s Guide to Quantitative Methods in the Social Sciences

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

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  • Author: Gregory R. Hancock
  • Publisher: Routledge
  • ISBN: 1317627792
  • Category : Education
  • Languages : en
  • Pages : 515

The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.


The Reviewer’s Guide to Quantitative Methods in the Social Sciences

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

PDF The Reviewer’s Guide to Quantitative Methods in the Social Sciences Download

  • Author: Gregory R. Hancock
  • Publisher: Routledge
  • ISBN: 1135172994
  • Category : Education
  • Languages : en
  • Pages : 449

Designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.


The Reviewer's Guide to Quantitative Methods in the Social Sciences

The Reviewer's Guide to Quantitative Methods in the Social Sciences

PDF The Reviewer's Guide to Quantitative Methods in the Social Sciences Download

  • Author: Gregory R. Hancock
  • Publisher: Routledge
  • ISBN: 1135172986
  • Category : Education
  • Languages : en
  • Pages : 968

The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers to offer constructive commentary on works they evaluate, and also serves as an indispensable author’s reference for preparing sound research manuscripts and proposals. Key features include: The chapters cover virtually all of the popular classic and emerging quantitative techniques, thus helping reviewers to evaluate a manuscript’s methodological approach and its data analysis. In addition, the volume serves as an indispensable reference tool for those designing their own research. For ease of use, all chapters follow the same structure: the opening page of each chapter defines and explains the purpose of that statistical method the next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysis the remainder of each chapter contains numbered sections corresponding to the numbered criteria listed in the opening table. Each section explains the role and importance of that particular criterion. Chapters are written by methodological and applied scholars who are expert in the particular quantitative method being reviewed.


Quantitative Methods for the Social Sciences

Quantitative Methods for the Social Sciences

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  • Author: Daniel Stockemer
  • Publisher: Springer
  • ISBN: 3319991183
  • Category : Social Science
  • Languages : en
  • Pages : 185

This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.


Doing Quantitative Research in the Social Sciences

Doing Quantitative Research in the Social Sciences

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  • Author: Thomas R Black
  • Publisher: SAGE
  • ISBN: 1446223639
  • Category : Social Science
  • Languages : en
  • Pages : 768

This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.


Handbook of Research Methods

Handbook of Research Methods

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  • Author: Natalie L. Sproull
  • Publisher: Scarecrow Press
  • ISBN: 9780810844865
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 456

A concise reference for researchers, managers and administrators who make research-based decisions, and for students. It covers the entire research process, from variables to final report. Special features include a glossary of terms, a summary of 14 types of instruments with examples, a research proposal checklist, flowcharts for selecting appropriate statistical tests, and a flowchart for the entire research process, with alternatives at each decision point. This edition (first was 1988) adds a chapter overview of multivariate techniques. Annotation copyright by Book News, Inc., Portland, OR


Meta-Analysis

Meta-Analysis

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  • Author: Fredric M. Wolf
  • Publisher: SAGE
  • ISBN: 9780803927568
  • Category : Social Science
  • Languages : en
  • Pages : 76

Author Fredric M. Wolf explains how to use combined statistical tests and measures of effect size to synthesize the results of independent studies of a common research question.


Quantitative Social Science

Quantitative Social Science

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  • Author: Kosuke Imai
  • Publisher: Princeton University Press
  • ISBN: 0691191093
  • Category : Political Science
  • Languages : en
  • Pages : 464

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--


Research Methods and Communication in the Social Sciences

Research Methods and Communication in the Social Sciences

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  • Author: Tesfa G Gebremedhin
  • Publisher: Bloomsbury Publishing USA
  • ISBN: 0313389314
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 184

This work was developed for graduate students, professors, and others involved in research in the social sciences. This practical work emphasizes that science is more than an organized body of knowledge. It is a method of reasoned thinking that manages the research process and the reporting of reliable knowledge. The work goes through the steps of identifying and stating a problem, formulating and stating an hypothesis, developing and conducting analysis, interpreting results, and drawing conclusions.


Statistical Methods for Social Scientists

Statistical Methods for Social Scientists

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  • Author: Eric A Hanushek
  • Publisher: Academic Press
  • ISBN: 0080918573
  • Category : Mathematics
  • Languages : en
  • Pages : 374

The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.