Margins of Error


Book Description

Enhance the quality of survey results by recognizing and reducing measurement errors. Margins of Error: A Study of Reliability in Survey Measurement demonstrates how and hwy identifying the presence and extent of measurement errors in survey data is essential for improving the overall collection and analysis of the data. The author outlines the consequences of ignoring survey measurement errors and also discusses ways to detect and estimate the impact of these errors. This book also provides recommendations of improving the quality of survey data. Logically organized and clearly written, this book: Deconstructs the data gathering process into six main elements of the response process: question adequacy, comprehension, accessibility, retrieval, motivation, and communication Provides an exhaustive review of valuable reliability estimation techniques that can be applied to survey data Identifies the types of questions and interviewer practices that are essential to the collection of reliable data Addresses hypotheses regarding which survey questions, sources of information, and questionnaire formats produce the most reliable data In conjunction with research data gathered on nearly 500 survey measures and the application of an empirical approach grounded in classical measurement theory, this book discusses the sources of measurement error and provides the tools necessary for improving survey data collection methods. Margins of Error enables statisticians and researchers in the fields of public opinion and survey research to design studies that can detect, estimate, and reduce measurement errors that may have previously gone undetected. This book also serves as a supplemental textbook for both undergraduate and graduate survey methodology courses.




Statistics For Dummies


Book Description

The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.




Being Wrong


Book Description

To err is human. Yet most of us go through life assuming (and sometimes insisting) that we are right about nearly everything, from the origins of the universe to how to load the dishwasher. In Being Wrong, journalist Kathryn Schulz explores why we find it so gratifying to be right and so maddening to be mistaken. Drawing on thinkers as varied as Augustine, Darwin, Freud, Gertrude Stein, Alan Greenspan, and Groucho Marx, she shows that error is both a given and a gift—one that can transform our worldviews, our relationships, and ourselves.




The Architecture of Error


Book Description

Why the rise of redundant precision in architecture and the accompanying fear of error are key to understanding the discipline's needs, anxieties and desires. When architects draw even brick walls to six decimal places with software designed to cut lenses, it is clear that the logic that once organized relations between precision and material error in construction has unraveled. Precision, already a promiscuous term, seems now to have been uncoupled from its contract with truthfulness. Meanwhile error, and the always-political space of its dissent, has reconfigured itself. In The Architecture of Error Francesca Hughes argues that behind the architect's acute fetishization of redundant precision lies a special fear of physical error. What if we were to consider the pivotal cultural and technological transformations of modernism to have been driven not so much by the causes its narratives declare, she asks, as by an unspoken horror of loss of control over error, material life, and everything that matter stands for? Hughes traces the rising intolerance of material vagaries—from the removal of ornament to digitalized fabrication—that produced the blind rejection of organic materials, the proliferation of material testing, and the rhetorical obstacles that blighted cybernetics. Why is it, she asks, that the more we cornered physical error, the more we feared it? Hughes's analysis of redundant precision exposes an architecture of fear whose politics must be called into question. Proposing error as a new category for architectural thought, Hughes draws on other disciplines and practices that have interrogated precision and failure, citing the work of scientists Nancy Cartwright and Evelyn Fox Keller and visual artists Gordon Matta-Clark, Barbara Hepworth, Rachel Whiteread, and others. These non-architect practitioners, she argues, show that error need not be excluded and precision can be made accountable.




RADICAL CONSTRUCTIVISM


Book Description

First Published in 1995. In the past decade or two, the most important theoretical perspective to emerge in mathematics education has been that of constructivism. This burst onto the international scene at the controversial Eleventh International Conference on the Psychology of Mathematics Education in Montreal in the summer of 1987. No one there will forget von Glasersfeld's authoritative plenary presentation on radical con­structivism, and his replies to critics. Ironically, the conference, at which attacks on radical constructivism were perhaps intended to expose fatally its weaknesses, served as a platform from which the theory was launched to widespread international acceptance and approbation. Radical constructivism is a theory of knowing that provides a pragmatic approach to questions about reality, truth, language and human understanding. It breaks with the philosophical tradition and proposes a conception of knowledge that focuses on experiential fit rather than metaphysical truth. It claims to be a useful approach, not the revelation of a timeless world. The ten chapters of this book present different facets in an elegantly written and thoroughly argued account of this epistemological position, providing a profound analysis of its central concepts.




Error and the Growth of Experimental Knowledge


Book Description

Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.




Margins of Error in Accounting


Book Description

Margins of Error in Accounting covers the main reasons why published company accounts cannot be completely 'accurate' and the likely extent of the resulting errors. Separate chapters cover: the 'interim-ness' of accounts; the use of current value estimates; the cumulative effect of inflation on money as the unit of account.




Basic Statistics with R


Book Description

Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area. In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do statistical inference using R with either Windows or Macintosh machines. Features real-data to give students an engaging practice to connect with their areas of interest Evolves from basic problems that can be worked by hand to the elementary use of opensource R software Offers a direct, clear approach highlighted by useful visuals and examples




Margin


Book Description

Margin is the space that once existed between ourselves and our limits. Today we use margin just to get by. This book is for anyone who yearns for relief from the pressure of overload. Reevaluate your priorities, determine the value of rest and simplicity in your life, and see where your identity really comes from. The benefits can be good health, financial stability, fulfilling relationships, and availability for God’s purpose.




Margin of Safety


Book Description

Tells how to avoid investment fads, explains the basic concepts of value-investment philosophy, and offers advice on portfolio management