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 Met... [Read More]
Many researchers jump from data collection directly into testing hypothesis without realizing these tests can go profoundly wrong without clean data. This book provides a clear, accessible, step-by-step process of important best practices in preparing for
Jason W. Osborne’s Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne’s applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. Since it is likely that one or more of the assumptions of the regression model will be violated in a specific empirical analysis, the ability to know when problems exist and when to take appropriate action helps to ensure the proper use of the procedure.The authors discuss: the consequences of violating the assumptions of the regression model; procedures for detecting when such violations occur; and strategies for dealing with these problems when they arise.The monograph was... [Read More]
The role of quantitative methods in testing developmental hypotheses is widely recognized, yet even very experienced quantitative researchers often lack the knowledge required for good decision-making on methodology. The end result is a disconnect between research and practice in methods. The purpose of this monograph is to fill a gap in the literature by offering a series of overviews on common data-analytic issues of particular interest to researchers in child development. Our hope is that this monograph will make already developed methods accessible to developmentalists so they can understa... [Read More]
A research methods text with a unique focus on evidence-based practice with couples and families, this book bridges the divide between research and clinical work. The text offers comprehensive, user-friendly coverage of measurement and design issues and basic qualitative and quantitative methods. Illustrating research concepts with clinically relevant examples and sample studies, it teaches clear steps for evaluating different types of studies and identifying common threats to validity. Of special value to therapists, it provides a systematic framework for using research to guide the selection... [Read More]
Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book. Has the Grameen Bank, for example, succeeded in lowering consumption poverty among the rural poor in Bangladesh? Can conditional cash transfer programs in Mexico and Latin America improve health and schooling outcomes for poor women and children? Does a new road actually raise welfare in a remote area in Tanzania, or is it a 'highway to nowhere'?This book reviews quan... [Read More]
Quantitative methods and mathematical modelling are of critical importance to fishery science and management but, until now, there has been no book that offers the sharp focus, methodological detail, and practical examples needed by non-specialist fishery scientists and managers, and ecologists. Modelling and Quantitative Methods in Fisheries fills that void. To date, methodology books in fisheries science have been limited to cookbook approach to problems; simple compilations; or expositions in which either too much theory or insufficient methodological detail is given. The text is organized ... [Read More]
Give your students everything they need to actively learn how to apply research to nursing practice.Updated to reflect the latest innovations in research methods, this worldwide bestseller helps students learn how to read and critique research reports, speak the language of nursing research, and develop an appreciation of research to enhance nursing practice. AJN award-winning authors Denise Polit and Cheryl Beck present research essentials, dig into the research steps, and explore quantitative and qualitative research, igniting student curiosity and encouraging them to pursue a professional p... [Read More]
"Maximum Likelihood Estimation. . . provides a useful introduction. . . it is clear and easy to follow with applications and graphs. . . . I consider this a very useful book. . . . well-written, with a wealth of explanation. . ." --Dougal
This user-friendly book provides a step-by-step guide to using the five major approaches to research design: quantitative, qualitative, mixed methods, arts-based, and community-based participatory research. Chapters on each approach follow a unique format--they present a template for a research proposal and explain in detail how to conceptualize and fill in every section. Terminology commonly used within each approach is identified, and key moments of ethical decision making are flagged. Interdisciplinary research examples draw on current events and social justice topics. Unique coverage inclu... [Read More]
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it ... [Read More]
Revised and Expanded Handbook Provides Comprehensive Introduction and Complete Instruction for Sample Preparation in Vital Category of Bioanalysis Following in the footsteps of the previously published Handbook of LC-MS Bioanalysis, this book is a thorough and timely guide to all important sample preparation techniques used for quantitative Liquid Chromatography–Mass Spectrometry (LC-MS) bioanalysis of small and large molecules. LC-MS bioanalysis is a key element of pharmaceutical research and development, post-approval therapeutic drug monitoring, and many other studies used in human healt... [Read More]
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by ex... [Read More]
The Sixth Edition of Neil J. Salkind’s best selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
This bestselling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions; key
This user-friendly book provides a step-by-step guide to using the five major approaches to research design: quantitative, qualitative, mixed methods, arts-based, and community-based participatory research. Chapters on each approach follow a unique format--they present a
This book provides introductory principles and tools needed to take concise business decision. The book is written with many examples and illustration to help the reader follow through the concepts and principle needed to arrive
Seminar paper from the year 2003 in the subject Business economics - Investment and Finance, grade: 1,2 (A+), University of Lincoln (International Business Administration), language: English, abstract: The business world is full of decisions, which
Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this
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