Quantitative Management In R And D
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| Author | : Luiz Moutinho |
| Publisher | : SAGE Publications |
| Total Pages | : 371 |
| Release | : 2011-02-09 |
| Genre | : Business & Economics |
| ISBN | : 1412935296 |
Electronic Inspection Copy available for instructors here A must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries covering the fundamentals of quantitative methodologies; covering both analysis and implementation and examples of use, as well as detailed graphics to aid understanding. Every entry features: -An introduction to the topic, -Key relevant features, -A worked example, -A concise summary and a selection of further reading suggestions -Cross-references to associated concepts within the dictionary
| Author | : Daniel Muijs |
| Publisher | : SAGE |
| Total Pages | : 266 |
| Release | : 2010-12-31 |
| Genre | : Education |
| ISBN | : 144624234X |
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 | : Miguel Ángel Canela |
| Publisher | : Springer |
| Total Pages | : 142 |
| Release | : 2019-07-03 |
| Genre | : Business & Economics |
| ISBN | : 3030175545 |
This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book’s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.
| Author | : W. Alex Edmonds |
| Publisher | : SAGE Publications |
| Total Pages | : 311 |
| Release | : 2016-04-20 |
| Genre | : Social Science |
| ISBN | : 1483317285 |
The Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries.
| Author | : Jason W. Osborne |
| Publisher | : SAGE |
| Total Pages | : 609 |
| Release | : 2008 |
| Genre | : Social Science |
| ISBN | : 1412940656 |
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 | : Barry Bozeman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 312 |
| Release | : 2013-06-29 |
| Genre | : Business & Economics |
| ISBN | : 1475751826 |
A critical issue in research and development (R&D) management is the structure and use of evaluative efforts for R&D programs. The book introduces the different methods that may be used in R&D evaluation and then illustrates these methods by describing actual evaluation in practice using those methods. The book is divided into two sections. The first section provides an introduction and details on several popular methodologies used in the evaluation of research and development activities. The second half of the book focuses on evaluation in practice and is comprised of several chapters offering the perspectives of individuals in different types of organizations. The book concludes with an annotated bibliography of selected R&D evaluation literature, focusing on post-1985 literature, on research evaluation.
| Author | : Uwe Flick |
| Publisher | : SAGE |
| Total Pages | : 162 |
| Release | : 2018-09-03 |
| Genre | : Social Science |
| ISBN | : 1526426196 |
Quality underpins the success (or failure) of any piece of qualitative research. In this book, Uwe Flick takes you through the steps in method and design to ensure quality and reliability throughout the entire research process. Showing hands-on what it means to ′manage′ quality, this book puts the spotlight on practical questions and steps researchers can use to continually interrogate, improve and demonstrate quality in your research.
| Author | : Vandana Desai |
| Publisher | : SAGE |
| Total Pages | : 337 |
| Release | : 2006-03-15 |
| Genre | : Business & Economics |
| ISBN | : 1847877826 |
Doing Development Research is a comprehensive introduction to research in development studies, that provides thorough training for anyone carrying out research in developing countries. It brings together experts with extensive experience of overseas research, presenting an interdisciplinary guide to the core methodologies. Informed by years of research experience, Doing Development Research draws together many strands of action research and participatory methods, demonstrating their diverse applications and showing how they interrelate. The text provides: · an account of the theoretical approaches that underlie development work · an explanation of the practical issues involved in planning development research · a systematic overview of information and data collecting methods in three sub-sections: · methods of social research and associated forms of analysis · using existing knowledge and records · disseminating findings/research Using clear and uncomplicated language – illustrated with appropriate learning features throughout - the text guides the researcher through the choice of appropriate methods, the implementation of the research, and the communication of the findings to a range of audiences. This is the essential A-Z of development research.
| Author | : Matthew L. Jockers |
| Publisher | : Springer Nature |
| Total Pages | : 283 |
| Release | : 2020-03-30 |
| Genre | : Computers |
| ISBN | : 3030396436 |
Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.
| Author | : David L. Morgan |
| Publisher | : SAGE Publications |
| Total Pages | : 289 |
| Release | : 2013-06-21 |
| Genre | : Social Science |
| ISBN | : 1483313662 |
Focusing on research designs for projects that collect both qualitative and quantitative data, this practical book discusses strategies for bringing qualitative and quantitative methods together so that their combined strengths accomplish more than is possible with a single method. The approach is broadly interdisciplinary, reflecting the interest in mixed methods research of social scientists from anthropology, communication, criminal justice, education, evaluation, nursing, organizational behavior, psychology, political science, public administration, public health, sociology, social work, and urban studies. In contrast to an "anything goes" approach or a naïve hope that "two methods are better than one," the author argues that projects using mixed methods must pay even more attention to research design than single method approaches. The book’s practical emphasis on mixed methods makes it useful both to active researchers and to students who intend to pursue such a career.
