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Author: W. Paul Vogt
Publisher: Allyn & Bacon
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 360
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Book Description
This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computation formulas, it is accessible to a wide range of users of research. Professional practitioners in areas such education, business, social work, and psychology can gain an understanding of research methods sufficient to base their work on advanced research in their fields. The text discusses the quantitative designs and analytic techniques most needed by students in the social sciences and in applied disciplines such as education, social work, and business. It teaches what the various methods mean, when to use them, and how to interpret their results. Since it emphasizes general understanding rather than mathematical foundations, students are able to review a broad range of methods in a comparatively short space.
Author: W. Paul Vogt
Publisher: Allyn & Bacon
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 360
Get Book Here
Book Description
This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computation formulas, it is accessible to a wide range of users of research. Professional practitioners in areas such education, business, social work, and psychology can gain an understanding of research methods sufficient to base their work on advanced research in their fields. The text discusses the quantitative designs and analytic techniques most needed by students in the social sciences and in applied disciplines such as education, social work, and business. It teaches what the various methods mean, when to use them, and how to interpret their results. Since it emphasizes general understanding rather than mathematical foundations, students are able to review a broad range of methods in a comparatively short space.
Author: Mark Balnaves
Publisher: SAGE
ISBN: 1848608640
Category : Social Science
Languages : en
Pages : 273
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Book Description
Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences. The original CD-ROM accompanying the book and its content are no longer available.
Author: William E. Martin
Publisher: John Wiley & Sons
ISBN: 111823457X
Category : Social Science
Languages : en
Pages : 498
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Book Description
Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.
Author: Jason W. Osborne
Publisher: SAGE
ISBN: 1412940656
Category : Social Science
Languages : en
Pages : 609
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Book Description
The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
Author: Paolo Brandimarte
Publisher: John Wiley & Sons
ISBN: 111802348X
Category : Mathematics
Languages : en
Pages : 812
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Book Description
An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.
Author: Daniel Muijs
Publisher: SAGE
ISBN: 144624234X
Category : Education
Languages : en
Pages : 266
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Book Description
This accessible and authoritative introduction is essential for education students and researchers needing to use quantitative methods for the first time. Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book′s website, enabling students to practice the techniques for themselves. This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation. Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.
Author: Brad Nunnally
Publisher: "O'Reilly Media, Inc."
ISBN: 1491951265
Category : Computers
Languages : en
Pages : 255
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Book Description
One key responsibility of product designers and UX practitioners is to conduct formal and informal research to clarify design decisions and business needs. But there’s often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. Fact is, anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner. This book contains four sections, including a brief introduction to UX research, planning and preparation, facilitating research, and analysis and reporting. Each chapter includes a short exercise so you can quickly apply what you’ve learned. Learn what it takes to ask good research questions Know when to use quantitative and qualitative research methods Explore the logistics and details of coordinating a research session Use softer skills to make research seem natural to participants Learn tools and approaches to uncover meaning in your raw data Communicate your findings with a framework and structure
Author: Nicholas Harkiolakis
Publisher:
ISBN: 9781543148138
Category :
Languages : en
Pages : 248
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Book Description
Attempting to describe quantitative research methods through one volume of material is quite a challenging endeavor and it should be noted here that this book is by no means attempting to exhaustively present everything under the Sun on the subject. Interested readers will need to expand on what is presented here by searching the extant literature on what exists and what best suits their research needs. Having said that, the book does cover the great majority of quantitative methods found in social sciences research.The motivation for developing this book came from years of delivering quantitative methods courses for graduate programs in Europe and the USA. Through exposure to such programs it became apparent that while most students had some exposure, to statistics mainly, at the time they entered graduate studies most of their understanding and familiarity with quantitative techniques was forgotten or vaguely remembered. In many cases, what remained was the impression of how much they "hated" the subject. Overcoming this negative predisposition required a re-introduction of basic concepts and a fast-track approach to higher and more advanced methods of analysis.These realities guided the development of this book and so the assumption is made that the reader doesn't know anything about quantitative research and about research in general. All concepts presented in the book are defined and introduced. Also, alternative and overlapping expressions and keywords used in quantitative research are presented so the reader can identify them in their readings of academic research. Whether this "zero-to-hero" approach succeeded is left for the reader to judge.Additional effort was made to include examples that are easily replicated in spreadsheets like Excel so the users can manually repeat them at their convenience. Regarding the use of software, commands for executing the various methods for SPSS are given in footnotes to avoid diverting from the core narrative of the text. The interested reader can easily retrieve a plethora of material from the Internet with step-by-step instructions for most of the analysis techniques discussed here and for the most popular statistical software packages. The book's website at www.harkiolakis.com/books/quan provides additional material for executing the methods discussed here with SPSS, as well as all book images in higher resolution and links to other sources online. For instructors who are interested in using the book as a textbook, data sets and exercises on the methods included in the book are available upon request.
Author: Kirsty Williamson
Publisher: Elsevier
ISBN: 178063420X
Category : Language Arts & Disciplines
Languages : en
Pages : 373
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Book Description
Research is such an important subject for information professionals that there will always be a need for effective guides to it. Research skills are a prerequisite for those who want to work successfully in information environments, an essential set of tools which enable information workers to become information professionals. This book focuses on producing critical consumers of research. It also goes some way towards producing researchers in the fields of information management and systems.The first edition of this book was enthusiastically received by researchers, students and information professionals in Australia and beyond. Reviews of the first edition considered it a "a worthwhile addition to any information professional's or research student's reference shelf (Archives & Manuscripts). This new edition has an additional chapter on ethics, to address the importance of the ethical implications of research. It also has (as did the first edition) two unique characteristics: it is Australian-focused, distinctive among research texts for information professionals; and it has a multi-disciplinary focus, with its authors being drawn from information management (librarianship, archives and recordkeeping) and information systems. The numerous examples throughout the book are drawn from these multiple disciplines. The first edition of this book was road-tested with students from several disciplines who are studying in several universities. Its Introduction noted that "In research terms, the content have been refereed and found to be authoritative!" To this can be added the many satisfied users of the first edition.
Author: Peter J. Burke
Publisher: Routledge
ISBN: 1351111051
Category : Psychology
Languages : en
Pages : 358
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Book Description
The Elements of Inquiry covers the basic guidelines for graduate students doing an investigation or inquiry project. It distils the rubrics necessary for teaching research methods and completing research projects, and gives the student researcher a list of steps to follow to complete any type of inquiry project – including formal research projects such as doctoral dissertations. It was written to support the work of students in an educational leadership doctoral program, but it will also assist the research efforts of college students at any level in any discipline. The book begins by establishing the underlying philosophical concepts upon which all good research is based, preparing students to get down to the "nuts and bolts" of conducting their own research and evaluating the research of others. Fundamental concepts and rules of research are explained both for producers and consumers of social science and educational research. Numerous practical examples illustrate the steps in the research process presented in the text. There are end-of-chapter exercises for students to apply the concepts discussed in the chapter. Templates for organizing and presenting research provide students with a game plan for success with their research. The book ends with an up-to-date annotated bibliography of beginning and advanced research texts allowing students easy access to books that detail the more specialized research topics. While most research books detail one or more method in depth, this text provides a broad introduction to many techniques and models used in doctoral dissertations, and will be of particular value to those who are consumers of inquiry studies and research reports. Key to the overview provided is the annotated bibliography that leads the reader to the next stage of understanding or doing research.
