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Understanding Statistics And Statistical Myths


Understanding Statistics And Statistical Myths
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Understanding Statistics And Statistical Myths


Understanding Statistics And Statistical Myths
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Author : Kicab Castaneda-Mendez
language : en
Publisher: CRC Press
Release Date : 2015-11-18

Understanding Statistics And Statistical Myths written by Kicab Castaneda-Mendez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-18 with Business & Economics categories.


Addressing 30 statistical myths in the areas of data, estimation, measurement system analysis, capability, hypothesis testing, statistical inference, and control charts, this book explains how to understand statistics rather than how to do statistics. Every statistical myth listed in this book has been stated in course materials used by the author



Statistical And Methodological Myths And Urban Legends


Statistical And Methodological Myths And Urban Legends
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Author : Charles E. Lance
language : en
Publisher: Routledge
Release Date : 2010-10-18

Statistical And Methodological Myths And Urban Legends written by Charles E. Lance and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-18 with Psychology categories.


This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.



The Myth Of Statistical Inference


The Myth Of Statistical Inference
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Author : Michael C. Acree
language : en
Publisher: Springer
Release Date : 2022-07-06

The Myth Of Statistical Inference written by Michael C. Acree and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-06 with Psychology categories.


This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.



Statistical Misconceptions


Statistical Misconceptions
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Author : Schuyler Huck
language : en
Publisher: Routledge
Release Date : 2015-11-19

Statistical Misconceptions written by Schuyler Huck and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-19 with Psychology categories.


This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website. The author’s accessible discussion of each misconception has five parts: The Misconception - a brief description of the misunderstanding Evidence that the Misconception Exists – examples and claimed prevalence Why the Misconception is Dangerous – consequence of having the misunderstanding Undoing the Misconception - how to think correctly about the concept Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception. The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook. An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.



Statistical Inference As Severe Testing


Statistical Inference As Severe Testing
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Author : Deborah G. Mayo
language : en
Publisher: Cambridge University Press
Release Date : 2018-09-20

Statistical Inference As Severe Testing written by Deborah G. Mayo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-20 with Mathematics categories.


Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.



Myth Busting China S Numbers


Myth Busting China S Numbers
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Author : Matthew Crabbe
language : en
Publisher: Springer
Release Date : 2016-04-30

Myth Busting China S Numbers written by Matthew Crabbe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-30 with Business & Economics categories.


A good understanding of Chinese data gathering methods and reporting structures is invaluable to anyone with business or investment plans in China. This book tackles the veracity of Chinese statistics, raising awareness of abuses and problems in real-life examples that have occurred, and provides practical strategies to reduce risk in the future.



Morrison Valfre S Foundations Of Mental Health Care In Canada 1e


Morrison Valfre S Foundations Of Mental Health Care In Canada 1e
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Author : Boris Bard
language : en
Publisher: Elsevier Health Sciences
Release Date : 2020-12-24

Morrison Valfre S Foundations Of Mental Health Care In Canada 1e written by Boris Bard and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-24 with Medical categories.


Build a broad fundamental knowledge of Canadian mental health concepts and disorders! Morrison-Valfre's Foundations of Mental Health Care in Canada uses an easy-to-read, multidisciplinary approach to describe current therapeutic interventions and treatments for mental health conditions. Ideal for nurses and other caregivers, this guide provides concise coverage of skills and principles, therapeutic skills, mental health problems throughout the lifecycle, and common psychological and psychosocial conditions. Included are topics such as new research, the latest mental health legislation, and new psychotropic drugs. Adapted for a Canadian audience by Boris Bard, Eric MacMullin, and Jacqueline Williamson, this resource enables you to provide effective therapy to clients with a wide range of maladaptive behaviours. - Coverage of psychotropic medications emphasizes the latest in safe pharmaceutical treatment in mental health care. - Coverage of internet usage features emerging mental health issues surrounding use of the internet, highlighting related addictions and violence. - Updated DSM-5 diagnoses include the latest information on new mental health diagnoses recognized by the American Psychiatric Association. - Sample client care plans show how members of the health care team work collaboratively to meet client needs. - Case studies use realistic client situations to strengthen critical thinking and ensure that students consider psychosocial aspects of therapeutic care. - Critical Thinking boxes include practice scenarios with client issues as well as questions that stimulate more careful analysis. - Cultural Consideration boxes highlight cultural issues and address the varied mental health needs of culturally diverse clients. - Medication Alert boxes identify the risks and possible adverse reactions of psychotherapeutic medications. - Chapter objectives focus on the most important concepts. - Key terms include phonetic pronunciations and text page references, and are listed in a comprehensive glossary, making it easier for students to understand and use mental health terminology. - NEW! Comprehensive coverage includes Canadian statistics, research, references and resources, guidelines, assessment and screening tools, therapies, drugs, terminology, and more. - NEW! Canadian cultural considerations are included when content relates to race/ethnicity, Indigenous people, and the LGBTQ2 community. - NEW! Coverage of trending topics includes medical assistance in dying (MAID), the opioid crisis, legalization of cannabis (Bill C-45, the Cannabis Act), vaping, harm reduction, violence against women, and more. - NEW! Balanced coverage of mental health care addresses a variety of workplace settings. - NEW! Critical Thinking Questions are included at the end of each chapter, allowing students to apply concepts to practice.



Topics From Australian Conferences On Teaching Statistics


Topics From Australian Conferences On Teaching Statistics
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Author : Helen MacGillivray
language : en
Publisher: Springer
Release Date : 2014-09-01

Topics From Australian Conferences On Teaching Statistics written by Helen MacGillivray and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with Mathematics categories.


The first OZCOTS conference in 1998 was inspired by papers contributed by Australians to the 5th International Conference on Teaching Statistics. In 2008, as part of the program of one of the first National Senior Teaching Fellowships, the 6th OZCOTS was held in conjunction with the Australian Statistical Conference, with Fellowship keynotes and contributed papers, optional refereeing and proceedings. This venture was so successful that the 7th and 8th OZCOTS were similarly run, conjoined with Australian Statistical Conferences in 2010 and 2012. Authors of papers from these OZCOTS conferences were invited to develop chapters for refereeing and inclusion in this volume. There are sections on keynote topics, undergraduate curriculum and learning, professional development, postgraduate learning, and papers from OZCOTS 2012. Because OZCOTS aim to unite statisticians and statistics educators, the approaches this volume takes are immediately relevant to all who have a vested interest in good teaching practices. Globally, statistics as a discipline, statistical pedagogy and statistics in academia and industry are all critically important to the modern information society. This volume addresses these roles within the wider society as well as questions that are specific to the discipline itself. Other chapters share research on learning and teaching statistics in interdisciplinary work and student preparation for futures in academia, government and industry.



Myths About Clinical Psychology


Myths About Clinical Psychology
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Author : Connor Whiteley
language : en
Publisher: CGD Publishing
Release Date : 2025-01-22

Myths About Clinical Psychology written by Connor Whiteley and has been published by CGD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Psychology categories.


Aspiring and qualified psychologists face a lot of myths and misconceptions. Sometimes these myths damage perceptions about mental health and psychology. Other times, psychology students and professionals believe in myths about psychology careers or psychological therapies. Yet the myths often hurt aspiring and qualified psychologists. Therefore, international bestseller Connor Whiteley takes readers on an engaging, fascinating, easy-to-understand journey through over 20 clinical psychology myths. Connor helps readers understand the roots, the truth and why people believe in these damaging, destructive myths about psychology. By the end of this brilliant book, you’ll understand the truth about a wide range of destructive myths that will better inform you about psychology, careers in mental health and more. BUY NOW! Myths About Clinical Psychology Content Introduction Why Psychology Is a Real Science The Myth That Psychology Is Easy Why Psychology Is Not Commons Sense Why Psychology Is Not Only Mental Health Why People Believe Mental Health Is Its Own Angel in Psychology Why Clinical Psychology Is Not Divorced from Other Areas of Psychology Why Psychologists Do Not Only Deal with Crazy People Why Psychologists, Therapists and Psychiatrists Are Not the Same Thing? Why CBT Isn’t the Only Therapy? Why CBT Is Not Only About The Here-And-Now? Why A Phd and Dclinpsych Are Not the Same Thing? What Are the Ways to Become a Therapist? My Comments on Psychology, Behavioural Science and More Being Used Interchangeably The Myth of You Can’t Become a Psychologist Because It Isn’t Privileged Enough Why Clinical Psychologists Are Not Passive Listeners in Therapy? Why You Can Be a Psychologist If Autistic Why You Don’t Need to Do Clinical Psychology Modules at Undergraduate To Do A Clinical Psychology Masters Why You Can Become a Clinical Psychologist If You’re a Parent or Want to Become a Parent Why DClinicPsychs Are Not Easy to Get On Why You Need to Be a Clinical Psychologist Before a Clinical Neuropsychologist Why You Can Be a Clinical Psychologist If You’ve Experienced Negative Mental Health and Trauma Conclusion: Why You Can Make a Difference as a Psychologist



Pharmaceutical Data Mining


Pharmaceutical Data Mining
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Author : Konstantin V. Balakin
language : en
Publisher: John Wiley & Sons
Release Date : 2009-11-19

Pharmaceutical Data Mining written by Konstantin V. Balakin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-19 with Medical categories.


Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.