Pitfalls Of Analysis

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Avoiding Data Pitfalls

Author : Ben Jones
Publisher : John Wiley & Sons
ISBN 13 : 1119278163
Total Pages : 272 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Avoiding Data Pitfalls by : Ben Jones

Download or read book Avoiding Data Pitfalls written by Ben Jones and published by John Wiley & Sons. This book was released on 2019-11-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.

Pitfalls of Analysis

Author : Giandomenico Majone
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 232 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Pitfalls of Analysis by : Giandomenico Majone

Download or read book Pitfalls of Analysis written by Giandomenico Majone and published by John Wiley & Sons. This book was released on 1980 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The 9 Pitfalls of Data Science

Author : Gary Smith
Publisher :
ISBN 13 : 0198844395
Total Pages : 263 pages
Book Rating : 4.1/5 (988 download)

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Book Synopsis The 9 Pitfalls of Data Science by : Gary Smith

Download or read book The 9 Pitfalls of Data Science written by Gary Smith and published by . This book was released on 2019 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures.

Pitfalls in Human Research

Author : Theodore Xenophon Barber
Publisher : Pergamon
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Pitfalls in Human Research by : Theodore Xenophon Barber

Download or read book Pitfalls in Human Research written by Theodore Xenophon Barber and published by Pergamon. This book was released on 1976 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychologische Forschung.

Text as Data

Author : Justin Grimmer
Publisher : Princeton University Press
ISBN 13 : 0691207550
Total Pages : 360 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Text as Data by : Justin Grimmer

Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

Advantages and Pitfalls of Pattern Recognition

Author : Horst Langer
Publisher : Elsevier
ISBN 13 : 0128118431
Total Pages : 352 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Advantages and Pitfalls of Pattern Recognition by : Horst Langer

Download or read book Advantages and Pitfalls of Pattern Recognition written by Horst Langer and published by Elsevier. This book was released on 2019-11-23 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to geophysicists, geochemists, geologists, geographers, data analysts, and educators and students of geosciences. Scientific and technological progress has dramatically improved the knowledge of our planet with huge amounts of digital data available in various fields of Earth Sciences, such as geology, geophysics, and geography. This has led to a new perspective of data analysis, requiring specific techniques that take several features into consideration rather than single parameters. Pattern recognition techniques offer a suitable key for processing and extracting useful information from the data of multivariate analysis. This book explores both supervised and unsupervised pattern recognition techniques, while providing insight into their application. - Offers real-world examples of techniques for pattern recognition and handling multivariate data - Includes examples, applications, and diagrams to enhance understanding - Provides an introduction and access to relevant software packages

Ten Common Pitfalls

Author : Herman Kahn
Publisher :
ISBN 13 :
Total Pages : 55 pages
Book Rating : 4.:/5 (72 download)

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Book Synopsis Ten Common Pitfalls by : Herman Kahn

Download or read book Ten Common Pitfalls written by Herman Kahn and published by . This book was released on 1957 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Frontiers in Massive Data Analysis

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309287812
Total Pages : 191 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Frontiers in Massive Data Analysis by : National Research Council

Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.

Analyzing Social Science Data

Author : D. A. De Vaus
Publisher : SAGE
ISBN 13 : 9780761959380
Total Pages : 436 pages
Book Rating : 4.9/5 (593 download)

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Book Synopsis Analyzing Social Science Data by : D. A. De Vaus

Download or read book Analyzing Social Science Data written by D. A. De Vaus and published by SAGE. This book was released on 2002-09-17 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abridged Contents PART ONE: HOW TO PREPARE DATA FOR ANALYSIS\PART TWO: HOW TO PREPARE VARIABLE FOR ANALYSIS\PART THREE: HOW TO REDUCE THE AMOUNT OF DATA TO ANALYZE\PART FOUR: HOW AND WHEN TO GENERALIZE\PART FIVE: HOW TO ANALYZE A SINGLE VARIABLE\PART SIX: HOW TO ANALYZE TWO VARIABLES\PART SEVEN: HOW TO CARRY OUT MULTIVARIATE ANALYSIS

Qualitative Data Analysis

Author : Ian Dey
Publisher : Routledge
ISBN 13 : 1134931468
Total Pages : 309 pages
Book Rating : 4.1/5 (349 download)

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Book Synopsis Qualitative Data Analysis by : Ian Dey

Download or read book Qualitative Data Analysis written by Ian Dey and published by Routledge. This book was released on 2003-09-02 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience.

Confirmatory Factor Analysis for Applied Research, Second Edition

Author : Timothy A. Brown
Publisher : Guilford Publications
ISBN 13 : 146251779X
Total Pages : 482 pages
Book Rating : 4.4/5 (625 download)

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Book Synopsis Confirmatory Factor Analysis for Applied Research, Second Edition by : Timothy A. Brown

Download or read book Confirmatory Factor Analysis for Applied Research, Second Edition written by Timothy A. Brown and published by Guilford Publications. This book was released on 2015-01-07 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities ...

Detecting Lies and Deceit

Author : Aldert Vrij
Publisher : John Wiley & Sons
ISBN 13 : 0470516259
Total Pages : 519 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Detecting Lies and Deceit by : Aldert Vrij

Download or read book Detecting Lies and Deceit written by Aldert Vrij and published by John Wiley & Sons. This book was released on 2008-02-19 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do people lie? Do gender and personality differences affect how people lie? How can lies be detected? Detecting Lies and Deceit provides the most comprehensive review of deception to date. This revised edition provides an up-to-date account of deception research and discusses the working and efficacy of the most commonly used lie detection tools, including: Behaviour Analysis Interview Statement Validity Assessment Reality Monitoring Scientific Content Analysis Several different polygraph tests Voice Stress Analysis Thermal Imaging EEG-P300 Functional Magnetic Resonance Imaging (fMRI) All three aspects of deception are covered: nonverbal cues, speech and written statement analysis and (neuro)physiological responses. The most common errors in lie detection are discussed and practical guidelines are provided to help professionals improve their lie detection skills. Detecting Lies and Deceit is a must-have resource for students, academics and professionals in psychology, criminology, policing and law.

Numerical Structural Analysis

Author : Anatoly Perelmuter
Publisher : Springer Science & Business Media
ISBN 13 : 3540365001
Total Pages : 519 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Numerical Structural Analysis by : Anatoly Perelmuter

Download or read book Numerical Structural Analysis written by Anatoly Perelmuter and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: To our sons, Mike, Andrew, Alex, who did not inherit their fathers' level of interest in applied mechanics, but who became sophisticated in software development and in this regard surpassed their parents. A.P., V.S. Hard times came, the god5 got angry. Children do not behave themselves and everybody wishes to write a book. Ancient Babylonian inscription X Preface Preface to the English Edition The book you are reading is a translation from Russian into English. Within a pretty short term this book saw two editions in Russian. The authors received in spiring responses from readers that both stimulated our continuing and improving this work and made sure it would not be in vain of us to try to multiply our readers by covering the English-speaking engineering community. When we prepared the present edition, we took into account interests of the Western readers, so we had to make some changes to our text published earlier. These changes include the following aspects. First, we excluded a lot of references and discussions regarding Russian engi neering codes. It seems to us those are of no real interest for Western engineers oriented at Eurocode or national construction design regulations.

Bayesian Data Analysis, Third Edition

Author : Andrew Gelman
Publisher : CRC Press
ISBN 13 : 1439840954
Total Pages : 677 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Data Analysis, Third Edition by : Andrew Gelman

Download or read book Bayesian Data Analysis, Third Edition written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-01 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Analysing and Aiding Decision Processes

Author : P. Humphreys
Publisher : Elsevier
ISBN 13 : 0080866689
Total Pages : 567 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Analysing and Aiding Decision Processes by : P. Humphreys

Download or read book Analysing and Aiding Decision Processes written by P. Humphreys and published by Elsevier. This book was released on 2000-04-01 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains an edited selection of papers presented at the Eighth Research Conference on Subjective Probability, Utility and Decision Making, held in Budapest. Together they span a wide range of new developments in studies of decision making, the practice of decision analysis and the development of decision-aiding technology.The volume is arranged in sections: Societal Decision Making; Organizational Decision Making; Aiding the Structuring of Small Scale Decision Problems, and Tracing Decision Processes.The emphasis is on decision processes and structures and their applications, rather than formal modelling in isolation, thus reflecting current developments in research and practice which follow from the understanding of the nature and operation of decision theoretical models gained during the 1970's.The fifth section, A Symposium on the Validity of Studies on Heuristics and Biases, is of a different nature. The papers take stock of the considerable volume of work investigation ``heuristics and biases'' in decision making over the past decade, and their implication for theory and practice.

Data-Driven HR

Author : Bernard Marr
Publisher : Kogan Page Publishers
ISBN 13 : 0749482478
Total Pages : 265 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Data-Driven HR by : Bernard Marr

Download or read book Data-Driven HR written by Bernard Marr and published by Kogan Page Publishers. This book was released on 2018-04-03 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

Adverse Impact Analysis

Author : Scott B. Morris
Publisher : Psychology Press
ISBN 13 : 1315301415
Total Pages : 381 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Adverse Impact Analysis by : Scott B. Morris

Download or read book Adverse Impact Analysis written by Scott B. Morris and published by Psychology Press. This book was released on 2016-12-01 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues