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.

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

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.

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.

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. ​

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.

From the perspective of behavioural science, this book systematically investigates organizational learning in Chinese organizations based on multilevel theory 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 3,000 managers and employees in organizations from all over China, the book further elaborates this integrative model covering the multilevel 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 learning culture, while offering possible directions for updating research methods and a stereoscopic theory of organizational learning. The book will be a good reference for management practitioners, students and academics interested in organizational behaviour, human resource management, innovation management, and multilevel perspective.

Handbook of Research Methods in Industrial and Organizational Psychology is a comprehensive and contemporary treatment of research philosophies, approaches, tools, and techniques indigenous to industrial and organizational psychology. Only available research handbook for Industrial & Organizational Psychology. Contributors are leading methodological & measurement scholars. Excellent balance of practical and theoretical insights which will be of interest to both novice and experienced organizational researchers. Great companion to the content-oriented Handbooks. Now available in full text online via xreferplus, the award-winning reference library on the web from xrefer. For more information, visit www.xreferplus.com

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.

Psychophysiology methods have become very important in the past decade or so with the increase in the understanding of the relationship between human physiology and behavior. As social behavior research has ventured further into biological waters, more detailed understanding of these methods has become necessary. This volume meets this need in a very accessible way for the advanced level student upwards. Written by a team of well recognized and well-published social psychophysiologists, it leads the reader through some complex but essential areas of understanding for anyone needing to investigate the human biological system and social behavior including the autonomic nervous system, endocrine measures and electromyography. This text will be perfect for all advanced students and researchers in social and personality psychology using social psychophysiological methods as part of their studies or research.