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Author: Jason W. Osborne Publisher: SAGE ISBN: 1412940656 Category : Social Science Languages : en Pages : 609
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: Jason W. Osborne Publisher: SAGE ISBN: 1412940656 Category : Social Science Languages : en Pages : 609
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: Gregory R. Hancock Publisher: Routledge ISBN: 1135172994 Category : Education Languages : en Pages : 449
Book Description
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.
Author: Todd D. Little Publisher: Oxford University Press ISBN: 0199934908 Category : Psychology Languages : en Pages : 784
Book Description
Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.
Author: Geoff Payne Publisher: SAGE ISBN: 1446209814 Category : Social Science Languages : en Pages : 201
Book Description
This exciting collection is both useful and timely. It clearly lays out the problems, strategies and resources associated with the teaching of quantitative methods in modern universities. Addressing the perceived ′crisis of number′ in a practical and fresh way the book sets out dynamic new approaches to teaching quantitative methods. It offers historical, comparative, analytical reflection and empirical evidence concerning the crisis in contemporary social sciences. Experts from across the social sciences provide a wide range of authoritative insights as well as a number of useful illustrations of strategies and resources designed to help overcome this ′crisis of number′. Each chapter reflects the diversity of backgrounds and approaches within the social sciences making this an interdisciplinary, relevant addition to the subject. The book also: o focuses on innovations in how to teach quantitative research methods o reports on the latest ESRC research projects on teaching quantitative methods o locates itself within current debates about skills for employment. Clear, engaging and original this book will be essential reading for those interested in learning and teaching quantitative methods.
Author: Mik Wisniewski Publisher: Pearson Education ISBN: 9780273687894 Category : Business & Economics Languages : en Pages : 630
Book Description
Appealing both to students on introductory courses for quantitative methods and MBA and post-experience students, this respected text provides an accessible, practical introduction to an area that students often find difficult. Concentrating on helping students to understand the relevance of quantitative methods of analysis to managers' decision-making, it focuses on the development of appropriate skills and understanding of how the techniques fit into the wider management process.
Author: Todd D. Little Publisher: Oxford University Press ISBN: 0199934878 Category : Medical Languages : en Pages : 507
Book Description
The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.
Author: Jimmie Leppink Publisher: Springer ISBN: 3030212416 Category : Education Languages : en Pages : 301
Book Description
This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used. The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre. Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.
Author: John Buglear Publisher: Routledge ISBN: 1136370145 Category : Business & Economics Languages : en Pages : 698
Book Description
Quantitative Methods for Business: The A-Z of QM will enable readers to: *Appreciate the significance of quantitative methods for businesses and the study of business *Understand and apply a wide range of quantitative techniques *Select appropriate quantitative techniques for data analysis, problem solving and decision making *Interpret and communicate the results of quantitative analysis
Author: Anthi Katsirikou Publisher: World Scientific ISBN: 981435029X Category : Computers Languages : en Pages : 472
Book Description
An Autodesk Official Press guide to the powerful mechanical design software Autodesk Inventor has been used to design everything from cars and airplanes to appliances and furniture. This comprehensive guide to Inventor and Inventor LT features real-world workflows and work environments, and is packed with practical tutorials that focus on teaching Inventor tips, tricks, and techniques. Additionally, you can download datasets to jump in and practice on any exercise. This reference and tutorial explains key interface conventions, capabilities, tools, and techniques, including design concepts and application, parts design, assemblies and subassemblies, weldment design, and the use of Design Accelerators and Design Calculators. There′s also detailed coverage of design tactics for large assemblies, effective model design for various industries, strategies for effective data and asset sharing, using 2D and 3D data from other CAD systems, and improving designs by incorporating engineering principles. Uses real-world sample projects so you can quickly grasp the interface, tools, and processes Features detailed documentation on everything from project set up to simple animations and documentation for exploded views, sheet metal flat patterns, plastic part design, and more Covers crucial productivity-boosting tools, iLogic, data exchange, the Frame Generator, Inventor Studio visualization tools, dynamic simulation and stress analysis features, and routed systems features Downloadable datasets let you jump into the step-by-step tutorials anywhere Mastering Autodesk Inventor and Autodesk Inventor LT is the essential, comprehensive training guide for this powerful software.
Author: Jason W. Osborne
Author: Jason W. Osborne
Author: Jason Osborne
Author: Gregory R. Hancock
Author: Todd D. Little
Author: Geoff Payne
Author: Mik Wisniewski
Author: Todd D. Little
Author: Jimmie Leppink
Author: John Buglear
Author: Anthi Katsirikou