Multilevel Theory, Research, and Methods in Organizations PDF Download
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Author: Katherine J. Klein
Publisher: Pfeiffer
ISBN:
Category : Business & Economics
Languages : en
Pages : 648
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Book Description
This study on multilevel analysis cuts through the confusion surrounding the development and testing of multilevel theories. It illuminates processes and effects within organisations, synthesising and updating current theory.
Author: Katherine J. Klein
Publisher: Pfeiffer
ISBN:
Category : Business & Economics
Languages : en
Pages : 648
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Book Description
This study on multilevel analysis cuts through the confusion surrounding the development and testing of multilevel theories. It illuminates processes and effects within organisations, synthesising and updating current theory.
Author: Stephen E. Humphrey
Publisher: American Psychological Association (APA)
ISBN: 9781433830013
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This handbook shows scholars how to conduct multilevel research. Chapters discuss the importance of context, dynamics, and complexity, and guide readers through the nuances of research design and analysis
Author: Marc A. Scott
Publisher: SAGE
ISBN: 1473971314
Category : Social Science
Languages : en
Pages : 954
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Book Description
In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.
Author: Haibo Yu
Publisher: Routledge
ISBN: 9781003166542
Category : Business & Economics
Languages : en
Pages : 182
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Book Description
"From the perspective of behavioural science, this book systematically investigates organizational learning in Chinese organizations over the past 20 years. The findings contribute to the theory and practice of organizational learning and give insights into the construction of learning organizations. Revisiting existing studies on organizational learning, the author reconceptualises organizational learning and constructs an integrative model, which is corroborated and then supplemented by empirical research. Based on samples and materials from 3000 managers and employees in organizations from all over China, the book further elaborates this integrative model covering the pivotal structure, trans-level functions and generative mechanisms that figure prominently in organizational learning in Chinese organizations. This framework helps enhance the organizational learning ability and the establishment of a culture of learning, while offering possible directions for updating research methods and a stereoscopic theory of organizational learning. The book will be a good reference for business management practitioners, students and academics interested in organizational behaviour, human resource management and strategy management"--
Author: Emmanuel Lazega
Publisher: Springer
ISBN: 3319245201
Category : Social Science
Languages : en
Pages : 373
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Book Description
This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.
Author: Francis J. Yammarino
Publisher: Emerald Group Publishing
ISBN: 1848555032
Category : Business & Economics
Languages : en
Pages : 467
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Book Description
Offers an outlet for the discussion of multi-level problems and solutions across a variety of fields of study. This title contains five major essays with commentaries and rebuttals that cover a range of topics, but in the realms of organizational behavior and leadership.
Author: Peer C. Fiss
Publisher: Emerald Group Publishing
ISBN: 178190779X
Category : Business & Economics
Languages : en
Pages : 340
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Book Description
Some 20 years after the emergence of configurational theory as a key perspective in organization studies in the 1990s, this approach has yet to deliver on its promise. While we know that configurations the relative arrangement of parts and elements - matters, empirical research on configurations is just beginning to deliver on its promise.
Author: Ronald H. Heck
Publisher: Psychology Press
ISBN: 1135678324
Category : Computers
Languages : en
Pages : 224
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Book Description
Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. -- Provided by Publisher.
Author: Karen Robson
Publisher: SAGE
ISBN: 1473934303
Category : Social Science
Languages : en
Pages : 153
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Book Description
Have you been told you need to do multilevel modeling, but you can′t get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.
Author: Douglas A. Luke
Publisher: SAGE Publications
ISBN: 1544310285
Category : Social Science
Languages : en
Pages : 95
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Book Description
Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.
