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Library of Congress Subject Headings
  • Language: en
  • Pages: 1678

Library of Congress Subject Headings

  • Type: Book
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  • Published: 2010
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  • Publisher: Unknown

None

The Great Mental Models, Volume 1
  • Language: en
  • Pages: 209

The Great Mental Models, Volume 1

  • Type: Book
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  • Published: 2024-10-15
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  • Publisher: Penguin

Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that...

ADKAR
  • Language: en
  • Pages: 164

ADKAR

  • Type: Book
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  • Published: 2006
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  • Publisher: Prosci

In his first complete text on the ADKAR model, Jeff Hiatt explains the origin of the model and explores what drives each building block of ADKAR. Learn how to build awareness, create desire, develop knowledge, foster ability and reinforce changes in your organization. The ADKAR Model is changing how we think about managing the people side of change, and provides a powerful foundation to help you succeed at change.

The Tidal Model
  • Language: en
  • Pages: 312

The Tidal Model

Based on extensive research, The Tidal Model charts the development of this model of care, outlining its theoretical basis and including clinical examples to show the benefits of encouraging the client's greater involvement in their treatment.

Library of Congress Subject Headings
  • Language: en
  • Pages: 1456
Longitudinal Analysis
  • Language: en
  • Pages: 866

Longitudinal Analysis

  • Type: Book
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  • Published: 2015-01-30
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  • Publisher: Routledge

Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key te...

The Practice of Enterprise Modeling
  • Language: en
  • Pages: 240

The Practice of Enterprise Modeling

Enterprise modeling (EM) has gained substantial popularity both in the academic community and among practitioners. A variety of EM methods, approaches, and tools are developed and offered on the market. In practice they are used for various p- poses such as business strategy development, process restructuring, as well as business and IT architecture alignment and governance. PoEM 2008, the First IFIP WG 8. 1 Working Conference on The Practice of Ent- prise Modeling, took place in Stockholm, Sweden. It is the first conference aiming to establish a dedicated forum where the use of EM in practice is addressed by bringing together researchers, users, and practitioners. The goals of PoEM 2008 were to - velop a better understanding of the practice of EM, to contribute to improved EM practice, as well as to share knowledge and experiences. The theme of PoEM 2008 was EM in different application contexts, e. g. , software development, including agile development, as well as business development, gove- ance, and change.

Modeling Intraindividual Variability With Repeated Measures Data
  • Language: en
  • Pages: 253

Modeling Intraindividual Variability With Repeated Measures Data

This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques. Each chapter features: a minimum discussion of mathematical detail; an empirical example applying the technique; and a discussion of the software related to that technique. Content highlights include analysis of mixed, multi-level, structural equation, and categorical data models. It is ideal for researchers, professionals, and students working with repeated measures data from the social and behavioral sciences, business, or biological sciences.

Quality
  • Language: en
  • Pages: 508

Quality

Quality, as exemplified by Quality-of-life (QoL) assessment, is frequently discussed among health care professionals and often invoked as a goal for improvement, but somehow rarely defined, even as it is regularly assessed. It is understood that some medical patients have a better QoL than others, but should the QoL achieved be compared to an ideal state, or is it too personal and subjective to gauge? Can a better understanding of the concept help health care systems deliver services more effectively? Is QoL worth measuring at all? Integrating concepts from psychology, philosophy, neurocognition, and linguistics, this book attempts to answer these complex questions. It also breaks down the c...

Longitudinal Structural Equation Modeling with Mplus
  • Language: en
  • Pages: 370

Longitudinal Structural Equation Modeling with Mplus

An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability. Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts. Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results. User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading. The companion website features data sets, annotated syntax files, and output for all of the examples.