Quasi-Experimentation
Quasi-Experimentation

Author: Charles S. Reichardt

Publisher: Guilford Publications

Published: 2019-09-02

Total Pages: 382

ISBN-13: 1462540201

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Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.

Design and Analysis
Design and Analysis

Author: Geoffrey Keppel

Publisher:

Published: 1991

Total Pages: 616

ISBN-13:

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This book provides basic information to conduct experiments and analyze data in the behavioral, social, and biological sciences. It includes information about designs with repeated measures, analysis of covariance, structural models, and other material.

Software Design X-Rays
Software Design X-Rays

Author: Adam Tornhill

Publisher: Pragmatic Bookshelf

Published: 2018-03-08

Total Pages: 356

ISBN-13: 1680505807

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Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code! Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code. If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code. What You Need: You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.

System Engineering Analysis, Design, and Development
System Engineering Analysis, Design, and Development

Author: Charles S. Wasson

Publisher: John Wiley & Sons

Published: 2015-11-16

Total Pages: 882

ISBN-13: 1118967143

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Praise for the first edition: “This excellent text will be useful to everysystem engineer (SE) regardless of the domain. It covers ALLrelevant SE material and does so in a very clear, methodicalfashion. The breadth and depth of the author's presentation ofSE principles and practices is outstanding.” –Philip Allen This textbook presents a comprehensive, step-by-step guide toSystem Engineering analysis, design, and development via anintegrated set of concepts, principles, practices, andmethodologies. The methods presented in this text apply to any typeof human system -- small, medium, and large organizational systemsand system development projects delivering engineered systems orservices across multiple business sectors such as medical,transportation, financial, educational, governmental, aerospace anddefense, utilities, political, and charity, among others. Provides a common focal point for “bridgingthe gap” between and unifying System Users, System Acquirers,multi-discipline System Engineering, and Project, Functional, andExecutive Management education, knowledge, and decision-making fordeveloping systems, products, or services Each chapter provides definitions of key terms,guiding principles, examples, author’s notes, real-worldexamples, and exercises, which highlight and reinforce key SE&Dconcepts and practices Addresses concepts employed in Model-BasedSystems Engineering (MBSE), Model-Driven Design (MDD), UnifiedModeling Language (UMLTM) / Systems Modeling Language(SysMLTM), and Agile/Spiral/V-Model Development such asuser needs, stories, and use cases analysis; specificationdevelopment; system architecture development; User-Centric SystemDesign (UCSD); interface definition & control; systemintegration & test; and Verification & Validation(V&V) Highlights/introduces a new 21st Century SystemsEngineering & Development (SE&D) paradigm that is easy tounderstand and implement. Provides practices that are critical stagingpoints for technical decision making such as Technical StrategyDevelopment; Life Cycle requirements; Phases, Modes, & States;SE Process; Requirements Derivation; System ArchitectureDevelopment, User-Centric System Design (UCSD); EngineeringStandards, Coordinate Systems, and Conventions; et al. Thoroughly illustrated, with end-of-chapter exercises andnumerous case studies and examples, Systems EngineeringAnalysis, Design, and Development, Second Edition is a primarytextbook for multi-discipline, engineering, system analysis, andproject management undergraduate/graduate level students and avaluable reference for professionals.

The Design and Analysis of Computer Experiments
The Design and Analysis of Computer Experiments

Author: Thomas J. Santner

Publisher: Springer

Published: 2019-01-08

Total Pages: 446

ISBN-13: 1493988476

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This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners

A First Course in Design and Analysis of Experiments
A First Course in Design and Analysis of Experiments

Author: Gary W. Oehlert

Publisher: W. H. Freeman

Published: 2000-01-19

Total Pages: 600

ISBN-13: 9780716735106

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Oehlert's text is suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • how to analyze the results • how to recognize various design options Also, unlike other older texts, the book is fully oriented toward the use of statistical software in analyzing experiments.

User and Task Analysis for Interface Design
User and Task Analysis for Interface Design

Author: JoAnn T. Hackos

Publisher: John Wiley & Sons

Published: 1998-02-23

Total Pages: 526

ISBN-13:

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Helps you design a great user interface by focusing on the most important step in the process - the first one. You learn to go out and observe your users at work, whether they are employees of your company or people in customer organisations. You learn to find out what your users really need, not by asking them what they want, but by going through a process of understanding what they are trying to accomplish. The authors take you through a step-by-step process to conduct a user and task analysis. You learn: How interface designers use user and task analysis to build successful interfaces; Why knowledge of users, their tasks, and their environments is critical to successful design; How to prepare and set up your site visits; How to select and train your user and task analysis team; What observations to make, questions to ask, and questions to avoid; How to record and report what you have learned to your development team members; How to turn the information you've gathered into design ideas; How to create paper prototypes of your interface design; and How to conduct usability tests with your prototypes to find out if you're on the right track.

Policy Analysis by Design
Policy Analysis by Design

Author: Davis Bobrow

Publisher: University of Pittsburgh Pre

Published: 2010-09-24

Total Pages: 255

ISBN-13: 0822971380

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Policy analysts currently have available to them a cafeteria menu of analytical approaches, from welfare economics to political philosophy. Davis B. Bobrow and John S. Dryzek believe that now more than ever a clear understanding of the approaches available - the assumptions consciously or unconsciously adopted by their practitioners - is crucial to the practice of intellectually defensible and socially responsible analysis of public policy.Policy Analysis by Design examines the approaches to public policy taken by those who try to teach it, write about it, and influence it through major analysis. Bobrow and Dryzek systematically compare the five major contending analytical frames of reference: welfare economics, public choice, social structure, information processing, and political philosophy. The workings of each frame are illustrated by means of a common, if imaginary, policy case - air pollution in the hypothetical Smoke Valley.Bobrow and Dryzek discover that many important distinctions emerge among the major frames of reference, differences which should help to determine when to choose what approach. The authors conclude by suggesting how policy analysis should be conducted, and how policy analysts should be trained, in the face of such diversity.The concerns of Policy Analysis by Design are deeper and broader than most books in the field, breaking new ground. Bobrow and Dryzek make the case that policy analysts should balance their attention to technique with an understanding of the rationales underlying their interventions in policy processes. Policy Analysis by Design, based on this fundamental principle, should stimulate debate about basic choices that policy analysts must make.