Unscalable

Unscalable
Title Unscalable PDF eBook
Author Charlie Guo
Publisher Inkshares
Total Pages 139
Release 2016-01-19
Genre Business & Economics
ISBN 1941758568

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In Unscalable, startup founder and software engineer Charlie Guo uncovers the lesser-known backstories of failure and success in interviews with some of the most daring founders in Silicon Valley. While much is made of the mythology of brilliant leadership and “overnight” success stories, these interviews pull back the veil on a much more eclectic mix of strategies and experiments, revealing the longer and less predictable road to success in Silicon Valley. Guo gives us a look at the edgier moments behind the glamor of the tech boom. To the question “Will it scale?” this book suggests that more often than not, the answer may be “No!”—especially as fledgling ideas try to shape-shift their way into actual products and companies. Some of those new entities will themselves spawn new startups, while some will fade into oblivion. From vacuuming out hundreds of cars in a green vest to learning that Britney Spears was their newest account, founders share the peaks and valleys that have made startups one of the most riveting stories of the century.

Psychometrics

Psychometrics
Title Psychometrics PDF eBook
Author
Publisher Elsevier
Total Pages 1191
Release 2006-11-08
Genre Psychology
ISBN 0080466702

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The area of Psychometrics, a field encompassing the statistical methods used in Psychological and educational testing, has become a very important and active area of research, evident from the large body of literature that has been developed in the form of books, volumes and research papers. Mainstream statisticians also have found profound interest in the field because of its unique nature. This book presents a state of the art exposition of theoretical, methodological and applied issues in Psychometrics. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with recent challenging psychometric problems. Key Features/ - Emphasis on the most recent developments in the field - Plenty of real, often complicated, data examples to demonstrate the applications of the statistical techniques - Information on available software Authors from the leading testing companies Emphasis on the most recent developments in the field Plenty of real, often complicated, data examples to demonstrate the applications of the statistical techniques Information on available software

Applied Latent Class Analysis

Applied Latent Class Analysis
Title Applied Latent Class Analysis PDF eBook
Author Jacques A. Hagenaars
Publisher Cambridge University Press
Total Pages 478
Release 2002-06-24
Genre Social Science
ISBN 1139439235

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Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis contributed essays to this volume, each presenting a key innovation to the basic latent class model and illustrating how it can prove useful in situations typically encountered in actual research.

Latent Class Analysis

Latent Class Analysis
Title Latent Class Analysis PDF eBook
Author Allan L. McCutcheon
Publisher SAGE
Total Pages 104
Release 1987-05
Genre Mathematics
ISBN 9780803927520

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Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables.

Handbook of Diagnostic Classification Models

Handbook of Diagnostic Classification Models
Title Handbook of Diagnostic Classification Models PDF eBook
Author Matthias von Davier
Publisher Springer Nature
Total Pages 656
Release 2019-10-11
Genre Education
ISBN 3030055841

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This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.

The Analysis of Cross-Classified Categorical Data

The Analysis of Cross-Classified Categorical Data
Title The Analysis of Cross-Classified Categorical Data PDF eBook
Author Stephen E. Fienberg
Publisher Springer Science & Business Media
Total Pages 208
Release 2007-07-30
Genre Mathematics
ISBN 0387728244

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Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited. This book presents some of the recent work on the statistical analysis of cross-classified data using longlinear models.

The Daily Bible® Devotional

The Daily Bible® Devotional
Title The Daily Bible® Devotional PDF eBook
Author F. LaGard Smith
Publisher Harvest House Publishers
Total Pages 385
Release 2009-11-01
Genre Religion
ISBN 0736927913

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From the creator of the bestselling and beloved Daily Bible® (more than 1 million copies sold) come 365 devotions that lead readers on a provocative chronological pilgrimage through Scripture--this time in trade edition. Readers can explore the riches and relevance of biblical stories, promises, and wisdom as they discover the commitment of ordinary people from Noah to Nathanael the faith and folly of heroes such as Abraham, Solomon, and Peter the power of prayer from the lips of saints and sinners the depth of trust exemplified by Moses, Deborah, and Mary the challenge of Jesus' teaching to reach for a higher standard F. Lagard Smith's observations and insights about the Bible provide readers with a rich experience. Whether read as a complement to The Daily Bible® or as an independent journey, these remarkable meditations reveal the purpose of a life built on God's Word.