{"product_id":"how-to-measure-anything-isbn-9781118539279","title":"How to Measure Anything","description":"\u003cb\u003eNow updated with new measurement methods and new examples, \u003ci\u003eHow to Measure Anything\u003c\/i\u003e shows managers how to inform themselves in order to make less risky, more profitable business decisions\u003c\/b\u003e  \u003cp\u003eThis insightful and eloquent book will show you how to measure those things in your own business, government agency or other organization that, until now, you may have considered \"immeasurable,\" including customer satisfaction, organizational flexibility, technology risk, and technology ROI.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eAdds new measurement methods, showing how they can be applied to a variety of areas such as risk management and customer satisfaction\u003c\/li\u003e \u003cli\u003eSimplifies overall content while still making the more technical applications available to those readers who want to dig deeper\u003c\/li\u003e \u003cli\u003eContinues to boldly assert that any perception of \"immeasurability\" is based on certain popular misconceptions about measurement and measurement methods\u003c\/li\u003e \u003cli\u003eShows the common reasoning for calling something immeasurable, and sets out to correct those ideas\u003c\/li\u003e \u003cli\u003eOffers practical methods for measuring a variety of \"intangibles\"\u003c\/li\u003e \u003cli\u003eProvides an online database (www.howtomeasureanything.com) of downloadable, practical examples worked out in detailed spreadsheets\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten by recognized expert Douglas Hubbard—creator of Applied Information Economics—\u003ci\u003eHow to Measure Anything, Third Edition\u003c\/i\u003e illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill defined, or uncertain can lend itself to measurement using proven methods.\u003c\/p\u003e \u003cp\u003ePreface to the Third Edition xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xix\u003c\/p\u003e \u003cp\u003eAbout the Author xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I The Measurement Solution Exists 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Challenge of Intangibles 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Alleged Intangibles 4\u003c\/p\u003e \u003cp\u003eYes, I Mean Anything 5\u003c\/p\u003e \u003cp\u003eThe Proposal: It’s about Decisions 7\u003c\/p\u003e \u003cp\u003eA “Power Tools” Approach to Measurement 10\u003c\/p\u003e \u003cp\u003eA Guide to the Rest of the Book 11\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow an Ancient Greek Measured the Size of Earth 16\u003c\/p\u003e \u003cp\u003eEstimating: Be Like Fermi 17\u003c\/p\u003e \u003cp\u003eExperiments: Not Just for Adults 20\u003c\/p\u003e \u003cp\u003eNotes on What to Learn from Eratosthenes, Enrico, and Emily 25\u003c\/p\u003e \u003cp\u003eNotes 27\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 The Illusion of Intangibles: Why Immeasurables Aren’t 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Concept of Measurement 30\u003c\/p\u003e \u003cp\u003eThe Object of Measurement 37\u003c\/p\u003e \u003cp\u003eThe Methods of Measurement 40\u003c\/p\u003e \u003cp\u003eEconomic Objections to Measurement 48\u003c\/p\u003e \u003cp\u003eThe Broader Objection to the Usefulness of “Statistics” 52\u003c\/p\u003e \u003cp\u003eEthical Objections to Measurement 55\u003c\/p\u003e \u003cp\u003eReversing Old Assumptions 58\u003c\/p\u003e \u003cp\u003eNotes 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Before You Measure 69\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Clarifying the Measurement Problem 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eToward a Universal Approach to Measurement 73\u003c\/p\u003e \u003cp\u003eThe Unexpected Challenge of Defining a Decision 74\u003c\/p\u003e \u003cp\u003eIf You Understand It, You Can Model It 80\u003c\/p\u003e \u003cp\u003eGetting the Language Right: What “Uncertainty” and “Risk” Really Mean 83\u003c\/p\u003e \u003cp\u003eAn Example of a Clarified Decision 84\u003c\/p\u003e \u003cp\u003eNotes 90\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Calibrated Estimates: How Much Do You Know Now? 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCalibration Exercise 95\u003c\/p\u003e \u003cp\u003eCalibration Trick: Bet Money (or Even Just Pretend To) 101\u003c\/p\u003e \u003cp\u003eFurther Improvements on Calibration 104\u003c\/p\u003e \u003cp\u003eConceptual Obstacles to Calibration 106\u003c\/p\u003e \u003cp\u003eThe Effects of Calibration Training 111\u003c\/p\u003e \u003cp\u003eNotes 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Quantifying Risk through Modeling 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Not to Quantify Risk 123\u003c\/p\u003e \u003cp\u003eReal Risk Analysis: The Monte Carlo 125\u003c\/p\u003e \u003cp\u003eAn Example of the Monte Carlo Method and Risk 127\u003c\/p\u003e \u003cp\u003eTools and Other Resources for Monte Carlo Simulations 136\u003c\/p\u003e \u003cp\u003eThe Risk Paradox and the Need for Better Risk Analysis 140\u003c\/p\u003e \u003cp\u003eNotes 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Quantifying the Value of Information 145\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss 146\u003c\/p\u003e \u003cp\u003eThe Value of Information for Ranges 149\u003c\/p\u003e \u003cp\u003eBeyond Yes\/No: Decisions on a Continuum 156\u003c\/p\u003e \u003cp\u003eThe Imperfect World: The Value of Partial Uncertainty Reduction 159\u003c\/p\u003e \u003cp\u003eThe Epiphany Equation: How the Value of Information Changes Everything 166\u003c\/p\u003e \u003cp\u003eSummarizing Uncertainty, Risk, and Information Value: The Pre-Measurements 171\u003c\/p\u003e \u003cp\u003eNotes 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Measurement Methods 173\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 The Transition: From What to Measure to How to Measure 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTools of Observation: Introduction to the Instrument of Measurement 177\u003c\/p\u003e \u003cp\u003eDecomposition 180\u003c\/p\u003e \u003cp\u003eSecondary Research: Assuming You Weren’t the First to Measure It 184\u003c\/p\u003e \u003cp\u003eThe Basic Methods of Observation: If One Doesn’t Work, Try the Next 186\u003c\/p\u003e \u003cp\u003eMeasure Just Enough 188\u003c\/p\u003e \u003cp\u003eConsider the Error 189\u003c\/p\u003e \u003cp\u003eChoose and Design the Instrument 194\u003c\/p\u003e \u003cp\u003eNotes 196\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Sampling Reality: How Observing Some Things Tells Us about All Things 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBuilding an Intuition for Random Sampling: The Jelly Bean Example 199\u003c\/p\u003e \u003cp\u003eA Little about Little Samples: A Beer Brewer’s Approach 200\u003c\/p\u003e \u003cp\u003eAre Small Samples Really “Statistically Significant”? 204\u003c\/p\u003e \u003cp\u003eWhen Outliers Matter Most 208\u003c\/p\u003e \u003cp\u003eThe Easiest Sample Statistics Ever 210\u003c\/p\u003e \u003cp\u003eA Biased Sample of Sampling Methods 214\u003c\/p\u003e \u003cp\u003eExperiment 226\u003c\/p\u003e \u003cp\u003eSeeing Relationships in the Data: An Introduction to Regression Modeling 235\u003c\/p\u003e \u003cp\u003eNotes 243\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Bayes: Adding to What You Know Now 247\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Basics and Bayes 248\u003c\/p\u003e \u003cp\u003eUsing Your Natural Bayesian Instinct 257\u003c\/p\u003e \u003cp\u003eHeterogeneous Benchmarking: A “Brand Damage” Application 263\u003c\/p\u003e \u003cp\u003eBayesian Inversion for Ranges: An Overview 267\u003c\/p\u003e \u003cp\u003eThe Lessons of Bayes 276\u003c\/p\u003e \u003cp\u003eNotes 282\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Beyond the Basics 285\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Preference and Attitudes: The Softer Side of Measurement 287\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eObserving Opinions, Values, and the Pursuit of Happiness 287\u003c\/p\u003e \u003cp\u003eA Willingness to Pay: Measuring Value via Trade-Offs 292\u003c\/p\u003e \u003cp\u003ePutting It All on the Line: Quantifying Risk Tolerance 296\u003c\/p\u003e \u003cp\u003eQuantifying Subjective Trade-Offs: Dealing with Multiple Conflicting Preferences 299\u003c\/p\u003e \u003cp\u003eKeeping the Big Picture in Mind: Profit Maximization versus Purely Subjective Trade-Offs 302\u003c\/p\u003e \u003cp\u003eNotes 304\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 The Ultimate Measurement Instrument: Human Judges 307\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHomo Absurdus: The Weird Reasons behind Our Decisions 308\u003c\/p\u003e \u003cp\u003eGetting Organized: A Performance Evaluation Example 313\u003c\/p\u003e \u003cp\u003eSurprisingly Simple Linear Models 315\u003c\/p\u003e \u003cp\u003eHow to Standardize Any Evaluation: Rasch Models 316\u003c\/p\u003e \u003cp\u003eRemoving Human Inconsistency: The Lens Model 320\u003c\/p\u003e \u003cp\u003ePanacea or Placebo?: Questionable Methods of Measurement 325\u003c\/p\u003e \u003cp\u003eComparing the Methods 333\u003c\/p\u003e \u003cp\u003eExample: A Scientist Measures the Performance of a Decision Model 335\u003c\/p\u003e \u003cp\u003eNotes 336\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 New Measurement Instruments for Management 339\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Twenty-First-Century Tracker: Keeping Tabs with Technology 339\u003c\/p\u003e \u003cp\u003eMeasuring the World: The Internet as an Instrument 342\u003c\/p\u003e \u003cp\u003ePrediction Markets: A Dynamic Aggregation of Opinions 346\u003c\/p\u003e \u003cp\u003eNotes 353\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 A Universal Measurement Method: Applied Information Economics 357\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBringing the Pieces Together 358\u003c\/p\u003e \u003cp\u003eCase: The Value of the System That Monitors Your Drinking Water 362\u003c\/p\u003e \u003cp\u003eCase: Forecasting Fuel for the Marine Corps 367\u003c\/p\u003e \u003cp\u003eCase: Measuring the Value of ACORD Standards 373\u003c\/p\u003e \u003cp\u003eIdeas for Getting Started: A Few Final Examples 378\u003c\/p\u003e \u003cp\u003eSummarizing the Philosophy 384\u003c\/p\u003e \u003cp\u003eNotes 385\u003c\/p\u003e \u003cp\u003eAppendix Calibration Tests (and Their Answers) 387\u003c\/p\u003e \u003cp\u003eIndex 397\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eDOUGLAS W. HUBBARD\u003c\/b\u003e is the inventor of Applied Information Economics (AIE), a measurement methodology that has earned him critical praise from The Gartner Group, Giga Information Group, and Forrester Research. He is an internationally recognized expert in the field of decision analysis and challenging measurements and is a popular speaker at numerous conferences. He has written articles for \u003ci\u003eInformation Week, CIO Enterprise,\u003c\/i\u003e and \u003ci\u003eDBMS Magazine.\u003c\/i\u003e He is the author of \u003ci\u003eThe Failure of Risk Management: Why It’s Broken and How to Fix It\u003c\/i\u003e and \u003ci\u003ePulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities.\u003c\/i\u003e   \u003c\/p\u003e\u003cp\u003eAnything can be measured. This bold assertion is the key to solving many problems in business and life in general. The myth that certain things can’t be measured is a significant drain on our nation’s economy, public welfare, the environment, and even national security. In fact, the chances are good that some part of your life or your professional responsibilities is greatly harmed by a lack of measurement – by you, your firm, or even your government. Regardless of your role in business, understanding the power of measurement will make you, those around you, and your organization more efficient and productive. \u003c\/p\u003e\u003cp\u003eUsing simple concepts to illustrate the hands-on application of advanced statistical techniques, \u003ci\u003eHow to Measure Anything, Third Edition\u003c\/i\u003e reveals the power of measurement in our understanding of business and the world at large. This insightful and engaging book shows you how to measure those things in your business that you may have previously considered immeasurable, including: customer satisfaction, organizational flexibility, technology ROI, and technology risk. Offering examples that will get you to attempt measurements—even when it seems impossible—this book provides you with the underlying knowledge and the necessary steps for measuring anything, especially uncertainty and risk. This revised third edition provides even deeper insights into the fascinating practice of measuring intangibles, with a special emphasis on risk management and customer satisfaction. New and updated chapters also include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e A philosophical discussion of different approaches to probabilities, including what is known as the “Bayesian” vs. “frequentist” interpretations of probability\u003c\/li\u003e \u003cli\u003e Information compiled from other popular works and compelling articles from Douglas W. Hubbard\u003c\/li\u003e \u003cli\u003e Enlightening new examples of where seemingly impossible measurements were resolved with surprisingly simple methods\u003c\/li\u003e \u003cli\u003e More measurement myths and other perceived obstacles to measurement debunked\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eA complete and updated resource with real-world case studies and an easy-to-follow format, \u003ci\u003eHow to Measure Anything, Third Edition\u003c\/i\u003e illustrates how author Douglas Hubbard—creator of Applied Information Economics—has successfully applied his approach across various industries. You’ll learn how any problem, no matter how difficult, ill-defined, or uncertain, can lend itself to measurement using proven methods. Straightforward and accessible, this is the resource you’ll turn to again and again to measure the seemingly immeasurable.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989381365989,"sku":"NP9781118539279","price":52.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118539279.jpg?v=1761783891","url":"https:\/\/k12savings.com\/es\/products\/how-to-measure-anything-isbn-9781118539279","provider":"K12savings","version":"1.0","type":"link"}