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Shows that the chaos and conflict experienced world-wide are the result of a global cultural metamorphosis, one which has accelerated so rapidly over the decades as to provoke fierce resistance. This book explains the metamorphosis of global culture whereby old cultural assumptions are challenged and innovations are seen as a social ill.
What Visual Meetings did for meetings and Visual Teams did for teams, this book does for leaders Visual Leaders explores how leaders can support visioning and strategy formation, planning and management, and organizationchange through the application of visual meeting and visual team methodologies organization wide—literally "trans-forming" communications and people's sense of what is possible. It describes seven essential tools for visual leaders—mental models, visual meetings, graphic templates, decision theaters, roadmaps, Storymaps, and virtual visuals—and examples of methods for implementation throughout an organization. Written for all levels of leadership in organizations, from department heads through directors, heads of strategic business units, and "C" level executives Explores how communications has become interactive and graphic and how these tools can be used to shape direction and align people for implementation Brings tools, methods and frameworks to life with stories of real organizations modeling these practices Visual Leaders answers the question of how design thinking and visual literacy can help to orient leaders to the complexity of contemporary organizations in the private, non-profit, and public sectors.
Behavioural research is well established in the social sciences, and has flourished in the field of accounting in recent decades. This far-reaching and reliable collection provides a definitive resource on current knowledge in this new approach, as well as providing a guide to the development and implementation of a Behavioural Accounting Research project. The Routledge Companion to Behavioural Accounting Research covers a full range of theoretical, methodological and statistical approaches relied upon by behavioural accounting researchers, giving the reader a good grounding in both theoretical perspectives and practical applications. The perspectives cover a range of countries and contexts, bringing in seminal chapters by an international selection of behavioural accounting scholars, including Robert Libby and William R. Kinney, Jr. This book is a vital introduction for Ph.D. students as well as a valuable resource for established behavioural accounting researchers.
"Scientific discoveries often build on - and are inspired by - previous discoveries. If the scientific enterprise were a tower of blocks, each piece representing a scientific finding, scientific progress might entail making the tower bigger and better block by block, discovery by discovery. Rather than strong wooden blocks, imagine the blocks, or scientific findings, can take on shape based on scientific accuracy. The most accurate pieces are the strongest and sturdiest, while the least accurate are soft and pliable. Building a tower of the scientific enterprise with a large number of inaccurate blocks will cause the tower to start to wobble, lean over, and potentially collapse, as more and more blocks are placed upon weak and faulty pieces"--
Psychological Science Under Scrutiny explores a range of contemporary challenges to the assumptions and methodologies of psychology, in order to encourage debate and ground the discipline in solid science. Discusses the pointed challenges posed by critics to the field of psychological research, which have given pause to psychological researchers across a broad spectrum of sub-fields Argues that those conducting psychological research need to fundamentally change the way they think about data and results, in order to ensure that psychology has a firm basis in empirical science Places the recent challenges discussed into a broad historical and conceptual perspective, and considers their implications for the future of psychological methodology and research Challenges discussed include confirmation bias, the effects of grant pressure, false-positive findings, overestimating the efficacy of medications, and high correlations in functional brain imaging Chapters are authored by internationally recognized experts in their fields, and are written with a minimum of specialized terminology to ensure accessibility to students and lay readers
In the Third Edition of The Psychology Research Handbook editors Frederick T. L. Leong and James T. Austin have assembled experienced expert researchers to provide graduate students and research assistants with a comprehensive framework for conducting many types of psychology research. The book is organized around the idea of a "research script," following the step-by-step process of research planning, design, data collection, analysis, and disseminating research. Many chapters are coauthored by advanced graduate students to give their fellow students a sense of real-world research, adding to the clarity and practicality of many chapters. Students and instructors alike will appreciate chapters on topics typically missing from introductory methods texts, including applying for research grants, dealing with journal editors and reviewers, working within research teams, and conducting cross-cultural research. Structures such as recommended readings and exercises guide students to develop and expand their research skills. New chapters include Power and Evidence, IRB as Critical Collaborators in Research, Alternative Data Collection Strategies, Structural Equation Modeling and Replicability and Reproducibility. A comprehensive, easy-to-understand guide to the entire research process, this book quickly and efficiently equips advanced students and research assistants to conduct a full research project.
This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these “methodological urban legends” are characterized by manuscript critiques such as: (a) “your self-report measures suffer from common method bias”; (b) “your item-to-subject ratios are too low”; (c) “you can’t generalize these findings to the real world”; or (d) “your effect sizes are too low.” What do these critiques mean, and what is their historical basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics covered include sample size requirements, missing data bias in correlation matrices, negative wording in survey research, and much more.
"This book tells the story of how a cadre of dedicated, iconoclastic scientists raised the awareness of a long recognized preference for publishing positive, eye catching, but irreproducible results to the status of a genuine scientific crisis. Most famously encapsulated in 2005 by John Ioannidis' iconic title: "Why Most Published Research Findings are False," awareness of the seriousness of the crisis itself was in full bloom sometime around 2011-2012 when a veritable flood of supporting empirical and methodological work began appearing in the scientific literature detailing both the extent of the crisis and how it could be ameliorated. Perhaps most importantly of all, a number of mass replications of large sets of (a) published psychology experiments (100 in all) by the Open Science Collaboration, (b) preclinical cancer experiments (53) which a large pharmaceutical company considered sufficiently promising to pursue if the original results were reproducible, and (c) 67 similarly promising studies upon which an even larger pharmaceutical company decided to replicate prior to initiating the expense and time consuming developmental process. Shockingly, less than 50% of these 220 study results could be replicated, thereby providing unwelcomed evidence that Ioannidis' projections (and others performed later) were not simply pejorative flights of fantasy but possibly underestimates of the actual crisis at hand. Fortunately a plethora of practical, procedural behaviors accompanied these demonstrations which were quite capable of greatly reducing the prevalence of future irreproducible results. Therefore the primary purpose of this book is to provide guidance to practicing and aspiring scientists regarding how (a) to change the way in which science has historically been both conducted and reported in order to avoid producing false positive, irreproducible results in their own work and (b) ultimately to change those institutional practices (primarily but not exclusively involving the traditional journal publishing process and the academic reward system) that have unwittingly contributed to the present crisis. For what is actually needed is nothing less than a change in the scientific culture itself. A culture which will prioritize conducting research correctly in order to get things right rather than simply getting published. Hopefully this book can make a small contribution to that end"--
V. Methodology: E. J. Wagenmakers (Volume Editor) Topics covered include methods and models in categorization; cultural consensus theory; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition and cognitive neuroscience; the stop-signal paradigm; hypothesis testing and statistical inference; model comparison in psychology; fmri; neural recordings; open science; neural networks and neurocomputational modeling; serial versus parallel processing; methods in psychophysics.
This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.
