Unscalable - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Unscalable write by Charlie Guo. This book was released on 2016-01-19. Unscalable available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Psychometrics write by . This book was released on 2006-11-08. Psychometrics available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Latent Class Analysis write by Jacques A. Hagenaars. This book was released on 2002-06-24. Applied Latent Class Analysis available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Latent Class Analysis write by Allan L. McCutcheon. This book was released on 1987-05. Latent Class Analysis available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Diagnostic Classification Models write by Matthias von Davier. This book was released on 2019-10-11. Handbook of Diagnostic Classification Models available in PDF, EPUB and Kindle. 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.
