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| the quantitative analysis approach begins with: The Quants Scott Patterson, 2010-02-02 With the immediacy of today’s NASDAQ close and the timeless power of a Greek tragedy, The Quants is at once a masterpiece of explanatory journalism, a gripping tale of ambition and hubris, and an ominous warning about Wall Street’s future. In March of 2006, four of the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with million-dollar stakes, but those numbers meant nothing to them. They were accustomed to risking billions. On that night, these four men and their cohorts were the new kings of Wall Street. Muller, Griffin, Asness, and Weinstein were among the best and brightest of a new breed, the quants. Over the prior twenty years, this species of math whiz--technocrats who make billions not with gut calls or fundamental analysis but with formulas and high-speed computers--had usurped the testosterone-fueled, kill-or-be-killed risk-takers who’d long been the alpha males the world’s largest casino. The quants helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse. Few realized, though, that in creating this unprecedented machine, men like Muller, Griffin, Asness and Weinstein had sowed the seeds for history’s greatest financial disaster. Drawing on unprecedented access to these four number-crunching titans, The Quants tells the inside story of what they thought and felt in the days and weeks when they helplessly watched much of their net worth vaporize--and wondered just how their mind-bending formulas and genius-level IQ’s had led them so wrong, so fast. |
| the quantitative analysis approach begins with: Quantitative Methods Paolo Brandimarte, 2012-01-03 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. |
| the quantitative analysis approach begins with: Knowledge Technology and Systems Yoshiteru Nakamori, 2023-07-15 This book discusses technology and systems to create valuable ideas from data through the construction of knowledge. The primary concern is to make better decisions about economic and management issues in today’s information-flooded society. Human creative activity is in the realm of soft technology, with no physical entity to operate. Focusing on the ability of knowledge as judgment power, this definition results: “Knowledge technology is soft technology that underpins the human creative activities of converting data and information into knowledge, creating new ideas based on that knowledge and validating those ideas.” That definition includes a wide range of soft technologies developed in informatics, management studies, and systems science. The knowledge system creates ideas from data and knowledge through knowledge technologies. Based on the proposition that knowledge emerges by the interaction between explicit and tacit knowledge, another definition is possible: “The knowledge system is a system that promotes interaction between codified and personalized knowledge and creates ideas for solving a specific problem.” Codified knowledge includes data and information, while personalized knowledge is empirical knowledge or wisdom that is difficult to put into words. Building a knowledge system requires mathematical or intelligent knowledge technology and participatory knowledge technology to create or manage codified knowledge and personalized knowledge. For example, a company builds cross-sectional knowledge systems by gathering human resources from various departments, according to the purpose, as in new product development or sales promotion. Chapter 1 defines knowledge technology and the knowledge system and organizes the challenges in their development, while Chapters 2 through 9 introduce mathematical or intelligent knowledge technologies by researchers at the forefront of knowledge technology development. |
| the quantitative analysis approach begins with: Best Practices in Quantitative Methods Jason W. Osborne, 2008 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. |
| the quantitative analysis approach begins with: Forensic Psychology Prof. Dr. Bilal Semih Bozdemir, Understanding the neurobiological underpinnings of psychopathy has also become increasingly important. Some studies suggest that differences in brain structure and function, particularly in areas related to emotional processing (e.g., the amygdala), may contribute to the emotional deficits observed in psychopathic individuals. Insights from neuroscience can inform multidisciplinary approaches to criminal profiling and offender rehabilitation. |
| the quantitative analysis approach begins with: Quantitative Social Science Kosuke Imai, Lori D. Bougher, 2021-03-16 The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides |
| the quantitative analysis approach begins with: Interpreting Quantitative Data with SPSS Rachad Antonius, 2003-01-22 This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied. |
| the quantitative analysis approach begins with: Research with Children Michelle O′Reilly, Nisha Dogra, Pablo Daniel Ronzoni, 2013-02-01 Thought-provoking, pertinent and engaging, this book provides an overview of every aspect of carrying out research with children. It is unique in its particular focus on vulnerable groups of children such as those with mental-health problems, physical health problems and learning disabilities, along with young offenders and looked after children. The book helpfully addresses each stage of the research process: -Part I introduces the main elements of doing research with children, including seeking ethical approval for sensitive research topics. -Part II guides the reader through the initial stages of the research project including recruitment issues and communicating with gatekeepers. -Part III outlines the data collection, data analysis, writing up and dissemination stages of research and covers both quantitative and qualitative methods. Filled with practical advice and useful activities for each chapter, this book is an essential resource for any student, academic or professional working with, or doing research with, children. |
| the quantitative analysis approach begins with: Social Research Methods Nicholas Walliman, 2006-04-27 Social Research Methods provides student readers with essential help with their research project, with revising for their course exams, preparing and writing course assessment materials, and enhancing and progressing their knowledge and thinking skills in line with course requirements on Research Methods courses. |
| the quantitative analysis approach begins with: Keeping Up with the Quants Thomas H. Davenport, Jinho Kim, 2013-06-11 A renowned thought-leader and a professor of statistics team up to provide the essential tools for enhancing thinking and decision-making in today's workplace in order to be more competitive and successful. 25,000 first printing. |
| the quantitative analysis approach begins with: Research Design for the Behavioral Sciences Stephen V. Flynn, PhD, LPC, LMFT-S, NCC, ACS, 2021-02-17 I wholeheartedly invite counselor trainees and counselors into this journey of growing the research component of their professional identity... Flynn and his colleagues prepare counselor trainees and counselors for this journey well and guide them carefully toward researcher competency. In an approachable and developmentally appropriate manner, they highlight for the profession the value of research and how it can be conducted. - Danica G. Hays, PhD American Counseling Fellow Professor and Executive Associate Dean University of Nevada, Las Vegas Research Design for the Behavioral Sciences fills an important gap for the helping professions by offering a blueprint for advanced concepts and an applied approach to understanding quantitative, qualitative, and mixed methods research design. This graduate-level text seamlessly weaves together the philosophy, science, and practical application of the most common methodological frameworks in practice. Advanced research design concepts are presented through clear and in-depth blueprints, applied case studies, myriad examples, and helpful learning activities. Written in detailed yet accessible language, this text describes the foundations of behavioral science research. The authors explore research-based philosophical integration, along with the technical application of every tradition. Through this philosophical and pragmatic approach, students will be able to attain a well-rounded and comprehensive understanding of behavioral science research. This text provides students with the opportunity to reach a greater level of research efficacy though the inclusion of methodological procedures, data analysis methods, reliability/validity standards, ethics, and directions on how to increase the rigor of each approach to research. Instructor resources include an instructor's manual, learning activities, test bank, and PowerPoints. Purchase includes digital access for use on most mobile devices and computers. Key Features: Provides clear, detailed, and contextually accurate examples of writing, quantitative, qualitative, and mixed methods procedures Reviews the paradigmatic hierarchy of each research tradition along with key analytic features in detail Delivers instructions for enhancing the methodological rigor of each approach Analyzes methodology-specific multicultural issues Demonstrates the application of a wide range of research methodologies with case studies Reviews the trends and history in research for counseling, psychology, social work, and marriage and family therapy Offers comprehensive instructor resources including manual, learning activities, test bank, and PowerPoint slides |
| the quantitative analysis approach begins with: Discourse on the Move Douglas Biber, Ulla Connor, Thomas A. Upton, 2007-09-19 Discourse on the Move is the first book-length exploration of how corpus-based methods can be used for discourse analysis, applied to the description of discourse organization. The primary goal is to bring these two analytical perspectives together: undertaking a detailed discourse analysis of each individual text, but doing so in terms that can be generalized across all texts of a corpus. The book explores two major approaches to this task: ‘top-down’ and ‘bottom-up’. In the ‘top-down’ approach, the functional components of a genre are determined first, and then all texts in a corpus are analyzed in terms of those components. In contrast, textual components emerge from the corpus analysis in the bottom-up approach, and the discourse organization of individual texts is then analyzed in terms of linguistically-defined textual categories. Both approaches are illustrated through case studies of discourse structure in particular genres: fund-raising letters, biology/biochemistry research articles, and university classroom teaching. |
| the quantitative analysis approach begins with: Research, Evaluation and Audit Maria J. Grant, Barbara Sen, Hannah Spring, 2013-10-12 This handbook provides library and information professionals with the information they need to undertake research projects in the workplace in order to inform their own practice and improve service delivery. Whether you are a complete novice or have experience of undertaking evaluations, audits or research, this book will guide you step-by-step through the key phases of planning, doing and disseminating research. The text is divided into three sections: • Part 1: Getting started introduces the concepts, ethics and planning stages. • Part 2: Doing research, evaluation and audit explores the fundamentals of projects, including the literature review, qualitative and quantitative research methods, data analysis and research tools. • Part 3: Impact of research, evaluation and audit guides you through writing up your project, putting the results of your project findings into practice and dissemination to the wider community. Written by academics and practitioners from a diverse range of sectors throughout the world, the book offers a thorough but common sense approach. Each chapter is structured to begin with a comprehensive introduction to a discrete topic area complemented with case studies drawn from a broad range of LIS contexts to illustrate the issues raised and provide transferable lessons to your own context. Whatever your experience, this book will support your project development and explain how evidence-based library and information practice is relevant to you. Readership: This is the essential handbook for any librarian or information professional who wants to undertake research in the workplace in order to inform their own practice and the wider evidence base for library and information science. It’s also a useful guide for undergraduate and postgraduate LIS students undertaking their final year research project. |
| the quantitative analysis approach begins with: Research Methods in European Union Studies K. Lynggaard, I. Manners, K. Löfgren, 2016-01-08 This collection sets a new agenda for conducting research on the EU and learns from past mistakes. In doing so it provides a state-of-the-art examination of social science research designs in EU studies while providing innovative guidelines for the advancement of more inclusive and empirically sensitive research designs in EU studies |
| the quantitative analysis approach begins with: Discourse on the Move Douglas Biber, 2007 Discourse on the Move is the first book-length exploration of how corpus-based methods can be used for discourse analysis, applied to the description of discourse organization. The primary goal is to bring these two analytical perspectives together: undertaking a detailed discourse analysis of each individual text, but doing so in terms that can be generalized across all texts of a corpus. The book explores two major approaches to this task: 'top-down' and 'bottom-up'. In the 'top-down' approach, the functional components of a genre are determined first, and then all texts in a corpus are analyzed in terms of those components. In contrast, textual components emerge from the corpus analysis in the bottom-up approach, and the discourse organization of individual texts is then analyzed in terms of linguistically-defined textual categories. Both approaches are illustrated through case studies of discourse structure in particular genres: fund-raising letters, biology/biochemistry research articles, and university classroom teaching. |
| the quantitative analysis approach begins with: Practical Text Analytics Murugan Anandarajan, Chelsey Hill, Thomas Nolan, 2018-10-19 This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information. |
| the quantitative analysis approach begins with: Laboratory Manual for the Course in Beginning Quantitative Analysis Hobart Hurd Willard, 1920 |
| the quantitative analysis approach begins with: Making sense of ‘intersectionality’ Colfer, C.J.P., Sijapati Basnett, B., Ihalainen, M., 2018-04-22 The forestry sector has engaged with gender issues to the extent that including 'women' mattered for sustainable forest management and other forest-related goals. More recently, there has been a growing recognition that gender equality is a goal in its ow |
| the quantitative analysis approach begins with: Research Design in Aging and Social Gerontology Joyce Weil, 2017-02-24 This text provides a review of methodological approaches and data-collection methods commonly used with older adults in real-life settings. |
| the quantitative analysis approach begins with: Risk Analysis XII S. Syngellakis, A. Fabbri, 2020-08-19 Current events help to emphasise the importance of the analysis and management of risk to planners and researchers around the world. Natural hazards such as floods, earthquakes, landslides, fires and others have always affected human societies. The more recent emergence of the importance of man-made hazards is a consequence of the rapid technological advances made in the last few centuries. The interaction of natural and anthropogenic risks adds to the complexity of the problems. Presented at the 12th International Conference on Risk Analysis and Hazard Mitigation, the included research works cover a variety of topics related to risk analysis and hazard mitigation, associated with both natural and anthropogenic hazards. |
| the quantitative analysis approach begins with: Quantitative Ethnography David Williamson Shaffer, 2017 How can we make sense of make sense of the deluge of information in the digital age? The new science of Quantitative Ethnography dissolves the boundaries between quantitative and qualitative research to give researchers tools for studying the human side of big data: to understand not just what data says, but what it tells us about the people who created it. Thoughtful, literate, and humane, Quantitative Ethnography integrates data-mining, discourse analysis, psychology, statistics, and ethnography into a brand-new science for understanding what people do and why they do it. Packed with anecdotes, stories, and clear explanations of complex ideas, Quantitative Ethnography is an engaging introduction to research methods for students, an introduction to data science for qualitative researchers, and an introduction to the humanities for statisticians--but also a compelling philosophical and intellectual journey for anyone who wants to understand learning, culture and behavior in the age of big data. |
| the quantitative analysis approach begins with: Handbook on Gender, Diversity and Federalism Jill Vickers, Joan Grace, Cheryl N. Collier, 2020-06-26 This insightful Handbook offers a comprehensive exploration of the third generation of gender and federalism studies. In this timely and authoritative examination, feminist scholars in both the West and the global south debate the impact of state architectures on women’s movements, partisan organizations and policy advocacy using innovative discursive, institutional and intersectional approaches. |
| the quantitative analysis approach begins with: Trends, Paradigms, and Advances in Mechatronics Engineering Mellal, Mohamed Arezki, 2022-11-18 Most modern systems involve various engineering disciplines. Mechatronic systems are designed to be dependable and efficient; however, mechatronics engineering faces multiple challenges at the design and exploitation stages. It is essential for engineers to be aware of these challenges and remain up to date with the emerging research in the mechatronics engineering field. Trends, Paradigms, and Advances in Mechatronics Engineering presents the latest advances and applications of mechatronics. It highlights the recent challenges in the field and facilitates understanding of the subject. Covering topics such as the construction industry, design optimization, and low-cost fabrication, this premier reference source is a crucial resource for engineers, computer scientists, construction managers, students and educators of higher education, librarians, researchers, and academicians. |
| the quantitative analysis approach begins with: Business Risk and Simulation Modelling in Practice Michael Rees, 2015-08-05 The complete guide to the principles and practice of risk quantification for business applications. The assessment and quantification of risk provide an indispensable part of robust decision-making; to be effective, many professionals need a firm grasp of both the fundamental concepts and of the tools of the trade. Business Risk and Simulation Modelling in Practice is a comprehensive, in–depth, and practical guide that aims to help business risk managers, modelling analysts and general management to understand, conduct and use quantitative risk assessment and uncertainty modelling in their own situations. Key content areas include: Detailed descriptions of risk assessment processes, their objectives and uses, possible approaches to risk quantification, and their associated decision-benefits and organisational challenges. Principles and techniques in the design of risk models, including the similarities and differences with traditional financial models, and the enhancements that risk modelling can provide. In depth coverage of the principles and concepts in simulation methods, the statistical measurement of risk, the use and selection of probability distributions, the creation of dependency relationships, the alignment of risk modelling activities with general risk assessment processes, and a range of Excel modelling techniques. The implementation of simulation techniques using both Excel/VBA macros and the @RISK Excel add-in. Each platform may be appropriate depending on the context, whereas the core modelling concepts and risk assessment contexts are largely the same in each case. Some additional features and key benefits of using @RISK are also covered. Business Risk and Simulation Modelling in Practice reflects the author′s many years in training and consultancy in these areas. It provides clear and complete guidance, enhanced with an expert perspective. It uses approximately one hundred practical and real-life models to demonstrate all key concepts and techniques; these are accessible on the companion website. |
| the quantitative analysis approach begins with: Principles of Sequencing and Scheduling Kenneth R. Baker, Dan Trietsch, 2018-10-08 An updated edition of the text that explores the core topics in scheduling theory The second edition of Principles of Sequencing and Scheduling has been revised and updated to provide comprehensive coverage of sequencing and scheduling topics as well as emerging developments in the field. The text offers balanced coverage of deterministic models and stochastic models and includes new developments in safe scheduling and project scheduling, including coverage of project analytics. These new topics help bridge the gap between classical scheduling and actual practice. The authors—noted experts in the field—present a coherent and detailed introduction to the basic models, problems, and methods of scheduling theory. This book offers an introduction and overview of sequencing and scheduling and covers such topics as single-machine and multi-machine models, deterministic and stochastic problem formulations, optimization and heuristic solution approaches, and generic and specialized software methods. This new edition adds coverage on topics of recent interest in shop scheduling and project scheduling. This important resource: Offers comprehensive coverage of deterministic models as well as recent approaches and developments for stochastic models Emphasizes the application of generic optimization software to basic sequencing problems and the use of spreadsheet-based optimization methods Includes updated coverage on safe scheduling, lognormal modeling, and job selection Provides basic coverage of robust scheduling as contrasted with safe scheduling Adds a new chapter on project analytics, which supports the PERT21 framework for project scheduling in a stochastic environment. Extends the coverage of PERT 21 to include hierarchical scheduling Provides end-of-chapter references and access to advanced Research Notes, to aid readers in the further exploration of advanced topics Written for upper-undergraduate and graduate level courses covering such topics as scheduling theory and applications, project scheduling, and operations scheduling, the second edition of Principles of Sequencing and Scheduling is a resource that covers scheduling techniques and contains the most current research and emerging topics. |
| the quantitative analysis approach begins with: Research Design Julianne Cheek, Elise ∅by, 2023-03-28 Designing research is about making decisions to transform an idea into a plan that can provide answers to a research problem or question. Thinking about, and then making these decisions results in the research design – the plan that will be followed to conduct the research and answer the question. This text engages in a dialogue with the reader, providing a serious but accessible introduction to research design, for use as a guide when designing your own research or when reading the research of others. Julianne Cheek and Elise Øby show that designing research is an iterative and reflexive process in which there is constant thinking through, and re-visiting of, decisions about that design as it develops. They use a variety of pedagogical devices throughout the book including Tip; Activity; and Putting it into Practice boxes to emphasize specific points and encourage readers to think about the practical implications of what they have learned. |
| the quantitative analysis approach begins with: Media Research Methods James A. Anderson, 2011-09-21 Media Research Methods: Understanding Metric and Interpretive Approaches brings the insights of a senior theorist, methodologist, and critic to the classroom. Departing from the methods recipe approach, the text explains the reasons behind the methods and makes the connections to theory and knowledge production. Written in a conversational style, the book engages students and appeals to them as media consumers and users of research. The book takes the reader through each step of the research process, outlining the procedures, differences, strengths and limitations of metric, interpretive and the newer hybrid approaches. The text lays down a strong foundation in empirical research and problem solving, addressing metric topics of hypotheses, sampling, statistics, survey and experimental protocols and interpretive topics of textual analysis, coding, critical engagement and ethnography. A special chapter at the end of the book is a helpful guide for those readers who aspire to a research and analysis career. |
| the quantitative analysis approach begins with: Financial Economics and Econometrics Nikiforos T. Laopodis, 2021-12-14 Financial Economics and Econometrics provides an overview of the core topics in theoretical and empirical finance, with an emphasis on applications and interpreting results. Structured in five parts, the book covers financial data and univariate models; asset returns; interest rates, yields and spreads; volatility and correlation; and corporate finance and policy. Each chapter begins with a theory in financial economics, followed by econometric methodologies which have been used to explore the theory. Next, the chapter presents empirical evidence and discusses seminal papers on the topic. Boxes offer insights on how an idea can be applied to other disciplines such as management, marketing and medicine, showing the relevance of the material beyond finance. Readers are supported with plenty of worked examples and intuitive explanations throughout the book, while key takeaways, ‘test your knowledge’ and ‘test your intuition’ features at the end of each chapter also aid student learning. Digital supplements including PowerPoint slides, computer codes supplements, an Instructor’s Manual and Solutions Manual are available for instructors. This textbook is suitable for upper-level undergraduate and graduate courses on financial economics, financial econometrics, empirical finance and related quantitative areas. |
| the quantitative analysis approach begins with: Studying Educational and Social Policy Ronald H. Heck, 2004-07-19 The overall purpose of this text is to introduce beginning researchers to the study of educational and social policy, how it has been examined from a scholarly perspective, and the salient issues to consider in conceptualizing and conducting policy research. The emphasis is on introduce, as the various policy fields within the public sector (for example, education, energy, health, labor) are much too diverse to include in depth in a single volume on theoretical concepts and research methods. The focus is not so much on the substance of policymaking as on understanding the interplay between how policy is made and implemented and the various conceptual approaches and methods researchers can use to frame and conduct policy studies. The underlying assumption is that a critique of the substantive, theoretical, and methodological issues involved in studying policy can help researchers conduct policy studies that are more informative in guiding policy development and more effective in assessing the impact of policy reforms. *Part I acquaints readers with substantive issues and challenges related to the study of the policy process, and includes chapters on federalism and policymaking, and on studying policy development, implementation, and impact. *Part II examines different conceptual frameworks and theories for the study of policy, with chapters on political culture and policymaking, the punctuated-equilibrium theory and the advocacy coalition framework, economic and organizational perspectives, and new approaches (e.g., feminism, critical theory, postmodernism). *Part III focuses research methods for studying policy, covering research design, qualitative methods, multilevel methods for policy research, and growth modeling methods for examining policy change. *Part IV compares the diversity of approaches used by policy scholars with respect to their strengths and weaknesses, and presents a number of issues for further consideration in conducting policy research. This introduction to theories and methods of conducting policy research is intended to give prospective researchers an appreciation of the relationship among policy problems, empirical methods, and practice, and to contribute to building their skills in conceptualizing and conducting policy research that answers important questions. The text includes examples of studies to illustrate the diversity of methodological techniques, and discusses issues related to the design and conduct of original educational policy studies. Studying Educational and Social Policy: Theoretical Concepts and Research Methods is designed primarily for graduate courses in educational policy and educational research and is appropriate as well for research methodology courses in other disciplines, including statistics and research methodology in the social sciences, organizational studies, public policy, and political science |
| the quantitative analysis approach begins with: A Guide to Research Methodology Shyama Prasad Mukherjee, 2019-09-04 Research Methodology is meant to provide a broad guideline to facilitate and steer the whole of a research activity in any discipline. With the ambit and amount of research increasing by the day, the need for Research Methodology is being widely appreciated. Against this backdrop, we notice the dearth of well-written books on the subject. A Guide to Research Methodology attempts a balance between the generic approach to research in any domain and the wide array of research methods which are to be used in carrying out different tasks in any research. Discussions on these research methods appropriate in various disciplines have focused on the research tasks, keeping in mind the fact that a single such task like a comparison among alternatives may involve several methods from seemingly distinct areas. Unique features of this volume, as will be evident to a discerning reader, include: A detailed discussion on problem areas for research in several domains An illustrative and ampliated list of research problems drawn from different disciplines which can be pursued by interested research workers A comprehensive delineation of Research Design supported by illustrations An elaborate engagement with models with a note on model uncertainty Focus on recent and emerging models, methods and techniques A novel treatment of data analysis where the nature of data and the objective(s) of analysis justify drawing upon a variety of techniques for analysis This book will serve the purpose of a pre-PhD or a Master-level course-work for students of any discipline with a basic knowledge of quantitative analysis. In fact, anyone aspiring to take up meaningful research work will find the content useful and interesting. |
| the quantitative analysis approach begins with: Organisation and Complexity Jacco van Uden, 2004-05 Students of organisation have used complexity theory in many different ways and for many different reasons. What characterises the writings of most 'management thinkers', however, is that the authors are primarily concerned with the question of how to make this complexity thing work for us? This study takes a rather different approach. Ideas and concepts of the science of complexity are borrowed to develop the idea that organisations live lives of their own - an idea that is very much at odds with the dominant view that understands organisations as tools that we use to realise certain goals. To illustrate matters, the book discusses the developments of the organisation of Vitesse, a mediocre Dutch professional football club that according to its president needed to be transformed into a major player in the family entertainment industry. |
| the quantitative analysis approach begins with: Home-School Relations Yan Guo, 2018-07-06 This book examines new directions in home-school relations from an international perspective. Unlike other current literature that concentrates on traditional models of family-school partnerships in Western countries, it focuses on the contributions of immigrant and minority parents, especially those in Asia and South America. This book brings together international scholars who explore home-school relations in Australia, Brazil, Canada, China, Hong Kong, South Korea, Mongolia, Sweden and the United States. |
| the quantitative analysis approach begins with: The Theory and Philosophy of Organizations John Hassard, Denis Pym, 2012-11-12 The Theory and Philosophy of Organizations makes a major contribution to the debate on the status of organizational theory as a discipline. The volume is divided into three sections exploring issues under the headings `theory', `anasis' and `philosophy'. In each, the limitations of `traditional' or `scientific' organizational paradigms are illuminated and new forms of interpretation offered. |
| the quantitative analysis approach begins with: The Sage Handbook of Survey Development and Application Lucy R. Ford, Terri A. Scandura, 2023-06-29 The SAGE Handbook of Survey Development and Application provides a practical resource that researchers can go to for cutting-edge tools to ensure they are employing the best survey research techniques. This handbook not only covers the classic and innovational skills and approaches involved at every step of the survey research process, but also centres itself around applied, how-to guidance to aid readers in best practice. Chapters engage with a broad range of topics including sampling issues, approaches to establishment of measurement equivalence, and the use of online labour pools in survey development. With contributions from a global community of leading and emerging scholars across a wide variety of disciplines, this Handbook is focused on being applicable and accessible across the social sciences. Containing over 120 tables and figures, checklists and tutorial guides, The SAGE Handbook of Survey Development and Application will serve as a one stop resource for survey research. This handbook serves as a touchstone for a variety of fields such as Organizational Behavior, Industrial & Organizational Psychology, Management, Psychology, Educational Research, Marketing, Public Policy, and others. PART 1: Conceptual Issues and Operational Definition PART 2: Research Design Considerations PART 3: Item Development PART 4: Scale Improvement Methods PART 5: Data Collection PART 6: Data Management and Analysis PART 7: Research Production and Dissemination PART 8: Applications |
| the quantitative analysis approach begins with: Nelson Information's Directory of Investment Managers , 2005 |
| the quantitative analysis approach begins with: Bryman's Social Research Methods Tom Clark, Liam Foster, Alan Bryman, Luke Sloan, 2021 Clear, comprehensive, and trusted, Bryman's Social Research Methods has guided over a quarter of a million students through their research methods course and student research project. The thoroughly updated sixth edition offers unrivalled coverage of quantitative, qualitative, and mixed methods with renewed focus and a fresh, modern feel. |
| the quantitative analysis approach begins with: Systems Approaches to Management Michael C. Jackson, 2007-05-08 Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Washakie County is a county located in the U.S. state of Wyoming. As of 2000, the population was 8,289. Its county seat is Worland.Washakie County was organized in 1911 and named after the head chief of the Shoshone people, Chief Washakie, who became an ally of the US Government. |
| the quantitative analysis approach begins with: Managing NGOs in the Developing World Farhad Analoui, Shehnaz Kazi, 2021-01-11 Managing NGOs in the Developing World explores the ‘managerial effectiveness’ in NGOs dealing with HIV/AIDS and marginalised groups in India, with specific insights into behavioural and contextual influences, recommending a new analytical model for researchers, professionals, and students. |
| the quantitative analysis approach begins with: Urban And Regional Analysis For Development Planning Richard Rhoda, 2019-03-20 Dr. Rhoda concisely presents the wide range of analytical methods available to urban and regional development planners. Focusing on the needs of the practitioner, in each chapter he concentrates on a particular analytical issue, describing several types of relevant analyses and offering guidelines for selecting appropriate techniques to solve speci |
| the quantitative analysis approach begins with: SAGE Quantitative Research Methods W Paul Vogt, 2011-01-01 For more than 40 years, SAGE has been one of the leading international publishers of works on quantitative research methods in the social sciences. This new collection provides readers with a representative sample of the best articles in quantitative methods that have appeared in SAGE journals as chosen by W. Paul Vogt, editor of other successful major reference collections such as Selecting Research Methods (2008) and Data Collection (2010). The volumes and articles are organized by theme rather than by discipline. Although there are some discipline-specific methods, most often quantitative research methods cut across disciplinary boundaries. Volume One: Fundamental Issues in Quantitative Research Volume Two: Measurement for Causal and Statistical Inference Volume Three: Alternatives to Hypothesis Testing Volume Four: Complex Designs for a Complex World |
Qualitative vs Quantitative Research: What's the Difference?
May 16, 2025 · Quantitative data involves measurable numerical information used to test hypotheses and identify patterns, while qualitative data is descriptive, capturing phenomena …
QUANTITATIVE Definition & Meaning - Merriam-Webster
The meaning of QUANTITATIVE is of, relating to, or expressible in terms of quantity. How to use quantitative in a sentence.
What Is Quantitative Research? | Definition, Uses & Methods
Jun 12, 2020 · Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and …
QUANTITATIVE | English meaning - Cambridge Dictionary
India struck a deal with America to remove quantitative restrictions on imports two years earlier than planned. Accounting formalizes plans by expressing them quantitatively as budgets. The …
Quantitative Definition & Meaning | Britannica Dictionary
QUANTITATIVE meaning: of or relating to how much there is of something of or relating to the quantity or amount of something
Qualitative vs Quantitative Research: What's the Difference?
May 16, 2025 · Quantitative data involves measurable numerical information used to test hypotheses and identify patterns, while qualitative data is descriptive, capturing phenomena …
QUANTITATIVE Definition & Meaning - Merriam-Webster
The meaning of QUANTITATIVE is of, relating to, or expressible in terms of quantity. How to use quantitative in a sentence.
What Is Quantitative Research? | Definition, Uses & Methods
Jun 12, 2020 · Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and …
QUANTITATIVE | English meaning - Cambridge Dictionary
India struck a deal with America to remove quantitative restrictions on imports two years earlier than planned. Accounting formalizes plans by expressing them quantitatively as budgets. The …
Quantitative Definition & Meaning | Britannica Dictionary
QUANTITATIVE meaning: of or relating to how much there is of something of or relating to the quantity or amount of something
