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Author: Lawrence Hubert
Publisher: CRC Press
ISBN: 1439873690
Category : Mathematics
Languages : en
Pages : 568
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Book Description
Exploring the intersection of ethics and statistics, this comprehensive guide illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers' day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. In addition, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation.
Author: Lawrence Hubert
Publisher: CRC Press
ISBN: 1439873690
Category : Mathematics
Languages : en
Pages : 568
Get Book Here
Book Description
Exploring the intersection of ethics and statistics, this comprehensive guide illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers' day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. In addition, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation.
Author: Lawrence Hubert
Publisher: CRC Press
ISBN: 1439873682
Category : Mathematics
Languages : en
Pages : 588
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Book Description
For disciplines concerned with human well-being, such as medicine, psychology, and law, statistics must be used in accordance with standards for ethical practice. A Statistical Guide for the Ethically Perplexed illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Designed to be consulted when learning formal statistical techniques, the text describes common instances of both correct and false statistical and probabilistic reasoning. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers’ day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. The historical vignettes encompass the English case of Sally Clark, breast cancer screening, risk and gambling, the Federal Rules of Evidence, "high-stakes" testing, regulatory issues in medicine, difficulties with observational studies, ethics in human experiments, health statistics, and much more. In addition to these topics, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation. Exploring the intersection of ethics and statistics, this comprehensive guide assists readers in becoming critical and ethical consumers and producers of statistical reasoning and analyses. It will help them reason correctly and use statistics in an ethical manner.
Author: Rochelle Tractenberg
Publisher: Ethics International Press
ISBN: 1804410799
Category : Language Arts & Disciplines
Languages : en
Pages : 411
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Book Description
The American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both. Since statistics and computing are critical in any data-centered activity, these practice standards are essential to instruction in the uses of statistical practices or computing across disciplines. Ethical Reasoning For A Data-Centered World is aimed at any undergraduate or graduate students utilizing data. Whether the career goal is research, teaching, business, government, or a combination, this book presents a method for understanding and prioritizing ethical statistics, computing, and data science – featuring the ASA and ACM practice standards. To facilitate engagement, integration with prior learning, and authenticity, the material is organized around seven tasks: Planning/Designing; Data collection; Analysis; Interpretation; Reporting; Documenting; and Engaging in team work. This book is a companion volume to Ethical Practice of Statistics and Data Science, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the American Statistical Association (ASA) and Association of Computing Machinery (ACM) ethical guideline documents.
Author: A. T. Panter
Publisher: Taylor & Francis
ISBN: 113688873X
Category : Psychology
Languages : en
Pages : 541
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Book Description
This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices. The order of the Handbook chapters parallels the chronology of the research process: determining the research design and data collection; data analysis; and communicating findings. Each chapter: Explores the ethics of a particular topic Identifies prevailing methodological issues Reviews strategies and approaches for handling such issues and their ethical implications Provides one or more case examples Outlines plausible approaches to the issue including best-practice solutions. Part 1 presents ethical frameworks that cross-cut design, analysis, and modeling in the behavioral sciences. Part 2 focuses on ideas for disseminating ethical training in statistics courses. Part 3 considers the ethical aspects of selecting measurement instruments and sample size planning and explores issues related to high stakes testing, the defensibility of experimental vs. quasi-experimental research designs, and ethics in program evaluation. Decision points that shape a researchers’ approach to data analysis are examined in Part 4 – when and why analysts need to account for how the sample was selected, how to evaluate tradeoffs of hypothesis-testing vs. estimation, and how to handle missing data. Ethical issues that arise when using techniques such as factor analysis or multilevel modeling and when making causal inferences are also explored. The book concludes with ethical aspects of reporting meta-analyses, of cross-disciplinary statistical reform, and of the publication process. This Handbook appeals to researchers and practitioners in psychology, human development, family studies, health, education, sociology, social work, political science, and business/marketing. This book is also a valuable supplement for quantitative methods courses required of all graduate students in these fields.
Author: Bruce M. Smyth
Publisher: Taylor & Francis
ISBN: 1040144829
Category : Psychology
Languages : en
Pages : 486
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Book Description
The Routledge Handbook of Human Research Ethics and Integrity in Australia highlights why it is important to look at the subject of human research ethics and integrity within the Australian context, and what the Australian perspective can offer to all researchers in the social sciences and humanities globally. Australia has one of the world’s most rigorous ethics governance frameworks. This edited collection comprises 35 chapters, compiled with the aim of presenting human research ethics and integrity in a way that can be readily understood and applied by undergraduate and postgraduate students, early career and seasoned researchers, Human Research Ethics Committee members, and those who work in the administration of human research ethics. Chapters that focus on research ethics with Aboriginal and Torres Strait Islander people are likely to be of great interest to an international audience interested in Indigenous research ethics more broadly. This collection will act as a prism through which ethical ‘first principles’ can be seen afresh from the vista of contemporary Australian research ethics frameworks. The issues raised in this collection are likely to resonate beyond the Australian context and will speak to researchers and educators in a variety of settings who find themselves grappling with thorny ethical issues ranging from the rapid evolution of data security and privacy concerns to research about cultural heritage and ethical approaches to Indigenous cultural and intellectual property.
Author: David L. Banks
Publisher: CRC Press
ISBN: 1000096068
Category : Law
Languages : en
Pages : 571
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Book Description
Handbook of Forensic Statistics is a collection of chapters by leading authorities in forensic statistics. Written for statisticians, scientists, and legal professionals having a broad range of statistical expertise, it summarizes and compares basic methods of statistical inference (frequentist, likelihoodist, and Bayesian) for trace and other evidence that links individuals to crimes, the modern history and key controversies in the field, and the psychological and legal aspects of such scientific evidence. Specific topics include uncertainty in measurements and conclusions; statistically valid statements of weight of evidence or source conclusions; admissibility and presentation of statistical findings; and the state of the art of methods (including problems and pitfalls) for collecting, analyzing, and interpreting data in such areas as forensic biology, chemistry, and pattern and impression evidence. The particular types of evidence that are discussed include DNA, latent fingerprints, firearms and toolmarks, glass, handwriting, shoeprints, and voice exemplars.
Author: Kemi Ogunyemi
Publisher: Business Expert Press
ISBN: 1631575597
Category : Business & Economics
Languages : en
Pages : 220
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Book Description
Of those in management education who debates whether business ethics should be taught as a stand-alone course or in an embedded manner, most recommend combining both approaches for optimal results. This book provides unique insights into the experience of seasoned academics who embed business ethics in teaching management theory and practice. Its multidisciplinary approach enriches its content, since the insights of our colleagues from within their fields are invaluable. It therefore complements other business textbooks. After general themes (curriculum integration, adult learning, learner commitment, and generation Y classrooms), this volume covers ethics and responsibility in people management, team building, change management; operations management, business law, and digital marketing communications.The book provides a platform to share experiences of teaching ethical profitability. It contributes to resolving concerns experienced when faculty wish to incorporate ethics into their teaching but feel they lack preparation or ideas on how to do it. The chapters describe each discipline briefly, raise the typical ethical issues therein, and suggest teaching strategies and exercises or projects. The 'developing versus developed country perspectives' sections may interest schools with high student diversity. The book also meets in-company training needs for attaining and sustaining an ethical culture.
Author: Christopher D. Mellinger
Publisher: Taylor & Francis
ISBN: 131729923X
Category : Language Arts & Disciplines
Languages : en
Pages : 294
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Book Description
Quantitative Research Methods in Translation and Interpreting Studies encompasses all stages of the research process that include quantitative research methods, from conceptualization to reporting. In five parts, the authors cover: • sampling techniques, measurement, and survey design; • how to describe data; • how to analyze differences; • how to analyze relationships; • how to interpret results. Each part includes references to additional resources and extensive examples from published empirical work. A quick reference table for specific tests is also included in the appendix. This user-friendly guide is the essential primer on quantitative methods for all students and researchers in translation and interpreting studies. Accompanying materials are available online, including step-by-step walkthroughs of how analysis was conducted, and extra sample data sets for instruction and self study: https://www.routledge.com/9781138124967. Further resources for Translation and Interpreting Studies are available on the Routledge Translation Studies Portal: http://cw.routledge.com/textbooks/translationstudies.
Author: Lisa D. Wijsen
Publisher: Springer Nature
ISBN: 3031348583
Category : Social Science
Languages : en
Pages : 292
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Book Description
Twenty Interviews with Psychometric Society Presidents tells the stories of the people who are the driving forces of psychometric research, teaching and practice. In semi-structured interviews, twenty presidents of the Psychometric Society share how they moved into the psychometric field, what inspired them to pursue this path, and what still drives them to do their research. They also reflect on the current status, history, and future of their own field, considering psychometrics' most significant historical achievements, as well as the major challenges that lie ahead. This curated collection provides a wealth of historical knowledge that is relevant for every practicing psychometrician. Introspective and insightful, it exhibits the wide array of opinions and visions in the field. Readers are invited to critically reflect on what holds this diverse field together, and what challenges and opportunities are on the horizon.
Author: Benjamin S. Baumer
Publisher: CRC Press
ISBN: 0429577508
Category : Business & Economics
Languages : en
Pages : 650
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Book Description
From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
