Tag: Methods

The Methods and Methodologies of Qualitative Family Research


Free Download The Methods and Methodologies of Qualitative Family Research by Janet F Gilgun, Marvin B Sussman
English | May 23, 1997 | ISBN: 0789000156 | 430 pages | EPUB | 1.96 Mb
The Methods and Methodologies of Qualitative Family Research can provide you with a strong conceptual framework for undertaking qualitative research. As it explores inquiry and theory on the cutting edge, it shows how qualitative methodologies can be applied to family life, education, and research. Designed to demonstrate how emerging and established methodologies can advance the understanding of families and direct social change, this book is a major step in assessing the development, progress, and contributions of qualitative inquiry. Packed with useful information and innovative approaches, this volume pulls together a rich and diverse group of essays that teach readers about the complexities and challenges of qualitative research. Most importantly, you’ll learn how new qualitative approaches are grounded in systems thinking, holistic formulations, attention to context, cultural sensitivity, and nonlinear dynamics.The Methods and Methodologies of Qualitative Family Research is distinct from other books of its kind because it acknowledges the agent, or self, in compiling data and reaching conclusions. Moreover, it analyzes how studying the world affects those doing the studying and how those effects, in turn, play a substantial role in interpreting data and forming conclusions. The Methods and Methodologies of Qualitative Family Research introduces three major types of qualitative clinical family research: conversational analysis, recursive frame analysis, and hermeneutic phenomenology. It exposes a wide array of resources for undertaking qualitative inquiry, including data journals, letters, official files, clinical case notes, folk tales, interviews, and field observations. You’ll learn how these resources are invaluable tools for understanding:couples’decisionmakinggenerative fatheringreflexivitythe use of historical data to construct composite casesegalitarianism and oppression in marriageperceptions of gender, race, and class among African-American adolescent womensuccessful aging among individuals who require long-term carepoverty and access to servicesA skillful blend of theory and practice, The Methods and Methodologies of Qualitative Family Research offers conceptual schemes, bibliographies, and other useful resources for teaching and conducting qualitative research. It will revolutionize the way you think about qualitative inquiry and your own approaches to qualitative family research. In addition, you’ll come away updated on the current state of qualitative research and with new skills and techniques for tackling your own research.

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The Complete Guide to Strength Training Methods


Free Download The Complete Guide to Strength Training Methods by Keven Arseneault
English | April 3, 2023 | ISBN: 1718216696 | 344 pages | MOBI | 104 Mb
Finally, the strength training book you’ve been wishing for is here! The Complete Guide to Strength Training Methods compiles more than 230 training techniques proven to increasestrength,power,hypertrophy,endurance,flexibility, andcardiovascular capacity.Sport performance coach Keven Arseneault has spent over 20 years reading, researching, and testing various methods to determine the best training techniques. In The Complete Guide to Strength Training Methods, he assembles these into a comprehensive resource that allows you to add variety and get the most from your workouts.

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Quantitative Methods for the Social Sciences


Free Download Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R
English | 2023 | ISBN: 3031345827 | 250 Pages | PDF EPUB (True) | 7 MB
This textbook offers an essential introduction to survey research and quantitative methods with clear instructions on how to conduct statistical tests with R. Building on the premise that we need to teach statistical methods in a holistic and practical format, the book guides students through the four main elements of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. In detail, students will learn how to create their own questionnaire on the basis of formulating hypotheses; sampling participants; disseminating their questionnaire; creating datasets; and analyzing their data. The data analytical sections of this revised and extended edition explain the theory, rationale and mathematical foundations of relevant bivariate and multi-variate statistical tests. These include the T-test, F-test, Chi-square test and correlation analyses, as well as bivariate and multivariate regression analyses. In addition, the book offers a brief introduction to statistical computing with R, which includes clear instructions on how to conduct these statistical tests in R. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research and quantitative methods classes in the social sciences.

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Numerical Methods in Physics with Python (2nd Edition)


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English | 2023 | ISBN: 1009303856 | 705 Pages | PDF | 10 MB
Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.

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Numerical Methods for Scientists and Engineers


Free Download Numerical Methods for Scientists and Engineers by R. W. Hamming
English | March 1, 2013 | ISBN: 0486652416 | 924 pages | PDF | 53 Mb
Numerical analysis is a subject of extreme interest to mathematicians and computer scientists, who will welcome this first inexpensive paperback edition of a groundbreaking classic text on the subject. In an introductory chapter on numerical methods and their relevance to computing, well-known mathematician Richard Hamming ("the Hamming code," "the Hamming distance," and "Hamming window," etc.), suggests that the purpose of computing is insight, not merely numbers. In that connection he outlines five main ideas that aim at producing meaningful numbers that will be read and used, but will also lead to greater understanding of how the choice of a particular formula or algorithm influences not only the computing but our understanding of the results obtained.

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Methods of IT Project Management, Fourth Edition


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English | 2022 | ISBN: 161249790X | 569 Pages | EPUB (True) | 50 MB
Designed for graduate, advanced undergraduate, and practitioner project management courses with an information technology focus, Methods of IT Project Management is designed around the Project Management Body of Knowledge (PMBOK), incorporating material from the latest seventh edition while still maintaining the book’s process approach. The text provides students with all the concepts, techniques, artifacts, and methods found in the leading project management reference books and modern development methodologies (agile, hybrid, and traditional), while also conveying practical knowledge that can immediately be applied in real-world settings. Unlike other books in this area, the material is organized according to the sequence of a generic project life cycle-from project selection to initiation, planning, execution, control, and iteration or project closeout. Following this life-cycle approach, as opposed to covering the material by knowledge area or project performance domain, allows new learners to simultaneously study project management concepts and methods as they develop skills they can use immediately during and upon completion of the course. The text’s structure also allows different programs to use the book during real-world student projects.

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Geotechnical Reliability Analysis Theories, Methods and Algorithms


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English | 2023 | ISBN: 9811962537 | 310 Pages | PDF EPUB (True) | 60 MB
This textbook systematically introduces the theories, methods, and algorithms for geotechnical reliability analysis. There are a lot of illustrative examples in the textbook such that readers can easily grasp the concepts and theories related to geotechnical reliability analysis. A unique feature of the textbook is that computer codes are also provided through carefully designed examples such that the methods and the algorithms described in the textbook can be easily understood. In addition, the computer codes are flexible and can be conveniently extended to analyze different types of realistic problems with little additional efforts.

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Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering


Free Download Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering
English | 2023 | ISBN: 303137018X | 153 Pages | PDF EPUB (True) | 17 MB
This book deals with efficient estimation and optimization methods to improve the design of electrotechnical devices under uncertainty. Uncertainties caused by manufacturing imperfections, natural material variations, or unpredictable environmental influences, may lead, in turn, to deviations in operation. This book describes two novel methods for yield (or failure probability) estimation. Both are hybrid methods that combine the accuracy of Monte Carlo with the efficiency of surrogate models. The SC-Hybrid approach uses stochastic collocation and adjoint error indicators. The non-intrusive GPR-Hybrid approach consists of a Gaussian process regression that allows surrogate model updates on the fly. Furthermore, the book proposes an adaptive Newton-Monte-Carlo (Newton-MC) method for efficient yield optimization. In turn, to solve optimization problems with mixed gradient information, two novel Hermite-type optimization methods are described. All the proposed methods have been numerically evaluated on two benchmark problems, such as a rectangular waveguide and a permanent magnet synchronous machine. Results showed that the new methods can significantly reduce the computational effort of yield estimation, and of single- and multi-objective yield optimization under uncertainty. All in all, this book presents novel strategies for quantification of uncertainty and optimization under uncertainty, with practical details to improve the design of electrotechnical devices, yet the methods can be used for any design process affected by uncertainties.

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