This book introduces a new data analysis technique that addresses long standing criticisms of the current standard statistics. Observation Oriented Modelling presents the mathematics and techniques underlying the new method, discussing causality, modelling, and logical hypothesis testing. Examples of how to approach and interpret data using OOM are presented throughout the book, including analysis of several classic studies in psychology. These analyses are conducted using comprehensive software for the Windows operating system. - Describes the problems that statistics are meant to answer, why popularly used statistics often fail to fully answer the question, and how OOM overcomes these obstacles - Chapters include examples of statistical analysis using OOM
This book introduces a new data analysis technique that addresses long standing criticisms of the current standard statistics. Observation Oriented Modelling presents the mathematics and techniques underlying the new method, discussing causality, modelling, and logical hypothesis testing. Examples of how to approach and interpret data using OOM are presented throughout the book, including analysis of several classic studies in psychology. These analyses are conducted using comprehensive software for the Windows operating system that has been written to accompany the book and will be provided free to book buyers on an accompanying website. The software has a user-friendly interface, similar to SPSS and SAS , which are the two most commonly used software analysis packages, and the analysis options are flexible enough to replace numerous traditional techniques such as t-tests, ANOVA, correlation, multiple regression, mediation analysis, chi-square tests, factor analysis, and inter-rater reliability. The output and graphs generated by the software are also easy to interpret, and all effect sizes are presented in a common metric; namely, the number of observations correctly classified by the algorithm. The software is designed so that undergraduate students in psychology will have no difficulty learning how to use the software and interpreting the results of the analyses. * Describes the problems that statistics are meant to answer, why popularly used statistics often fail to fully answer the question, and how OOM overcomes these obstacles * Chapters include examples of statistical analysis using OOM * Software for OOM comes free with the book * Accompanying website include svideo instruction on OOM use
This set of multi-reference works is meant to be read together as the five volumes interlace one another like the laces of a shoe in the famous painting by Vincent van Gogh. The question of who will wear the shoes is long debated in art history and philosophy. If we take these five volumes from different points of view on the theory and practice of business storytelling then we have a crisscrossing, a new and impressive dialogue for the reader. This set is presented as a new way to lace up the laces of business storytelling.Volume 1 aims to help and inspire leaders, business owners, and researchers in creating a commitment to ethical and sustainable changes and ideas, and live in a world of high complexity without getting stressed but experiencing freedom instead.The book combines tools, case studies, and theories about the ethical change-management method of True Storytelling and other perspectives and views on ethics and storytelling. It delves into important topics such as true storytelling sustainability and freedom, storytelling and start-ups in the health industry, storytelling and diversity and culture, storytelling and teams, storytelling, sustainability and the UN Goals, storytelling and well-being, storytelling in higher education, and storytelling and fundraising.Book authors are experienced and successful researchers, business owners, leaders, and consultants from Scandinavia, the USA, Africa, and Europe.Volume 2 is an endeavor into the creation of new concepts for engaging with sustainability. It maintains that storytelling is important for our emplacement in nature and can be important for enacting another relationship between nature and the cultural artifice — our social and material constructions of houses, cities, villages, harbors, streets, and railways, and our use of objects and artifacts to construct our lives.Business storytelling communication is that space for social symbolic work that brings the symbolic objects of the organization, the human, and the natural environment into a dialogical relationship. Volume 3 posits that organizations are arranged as social symbols that are arranged in institutions based on the needs of organics, for example health, food, shelter, mating, leisure, and labor. Organics, as a social symbolic object, specifically humans, have emotions, language, and culture to organize their institutions and organizations. In this book, readers will find that many of the authors attempt to understand the body's exclusion or attempt to bring the body back into the organization. Business storytelling communication takes aim at the social symbolic work of making space to negotiate the social arrangement of organizations with its organic components.Volume 4 covers a variety of methodological topics from a storytelling perspective. Why a storytelling perspective? Consider that a common business research goal is to convince others that what the researcher has to say matters. If the researcher is a basic researcher who wishes to promote a theory, the goal is to make a convincing case for the value of that theory. If the researcher is an applied researcher who wishes to promote a particular application, intervention, or policy change, the goal is likewise to make a convincing case. Either way, the researcher has a story to tell, and the onus is on the researcher to tell the best possible story; storytelling failures likely will result in a failure to convince others of the value of one's theory or application.Here is where methodological issues come into play. Poor methodology, whether in the form of less-than-optimal study designs or invalid statistical analyses, harms story quality. In contrast, high-quality methods and statistics enhance story quality. Moreover, the larger one's methodological and statistical toolbox, the greater the opportunities for researchers to tell effective stories. The chapters in this book come from a wide variety of perspectives and should enhance researchers' storytelling in the following ways. By opening many different methodological and statistical perspectives, researchers should be more able to think of research stories that otherwise would remain unavailable or inaccessible. Secondly, the present chapters should aid researchers in better executing their research stories. Therefore, researchers and graduate students will find this book an invaluable resource.Volume 5 opens a window into the world of quantum storytelling as an organizational research methodology, providing numerous exemplars of work in this storytelling science that has disrupted qualitative inquiry only with the intention of providing expanded, improved, and generative ways of understanding and knowing the narratives that emerge from qualitative interviews and observations during organizational research studies.
This volume explores the abiding intellectual inertia in scientific psychology in relation to the discipline’s engagement with problematic beliefs and assumptions underlying mainstream research practices, despite repeated critical analyses which reveal the weaknesses, and in some cases complete inappropriateness, of these methods. Such paradigmatic inertia is especially troublesome for a scholarly discipline claiming status as a science. The book offers penetrating analyses of many (albeit not all) of the most important areas where mainstream practices require either compelling justifications for their continuation or adjustments – possibly including abandonment – toward more apposite alternatives. Specific areas of concern addressed in this book include the systemic misinterpretation of statistical knowledge; the prevalence of a conception of measurement at odds with yet purporting to mimic the natural sciences; the continuing widespread reliance on null hypothesis testing; and the continuing resistance within psychology to the explicit incorporation of qualitative methods into its methodological toolbox. Broader level chapters examine mainstream psychology’s systemic disregard for critical analysis of its tenets, and the epistemic and ethical problems this has created. This is a vital and engaging resource for researchers across psychology, and those in the wider behavioural and social sciences who have an interest in, or who use, psychological research methods.
In a recent paper we (Speelman & McGann, 2013) argued that psychology’s reliance on data analysis methods that are based on group averages has resulted in a science of group phenomena that may be misleading about the nature of and reasons for individual behaviour. The paper highlighted a tension between a science in search of general laws on the one hand, and the individual, variable, and diverse nature of human behaviour on the other. This Research Topic explored this concern about the pitfalls of using the mean for the basis of psychological science. The problem is universal in its applicability to psychology, and opinion papers, reviews, and original empirical research from all areas of the discipline were invited. A total of 16 authors contributed 9 articles to the Topic. The range of issues that the authors viewed through the lens provided is impressive. The papers in this collection include a range of perspectives that provide concrete examples of how to approach research design, data collection, and analysis differently. No one contribution will provide a solution to our multifarious challenges, but nor should it. Our subject matter is complex and subtle, our investigations and methodological techniques will need to be equally so.
This book constitutes the thoroughly refereed post-proceedings of the First International Symposium on Unifying Theories of Programming, UTP 2006, held at Walworth Castle, County Durham, UK, in February 2006. The book presents 14 revised full papers. Based on the pioneering work on unifying theories of programming by Tony Haare and Jifeng He, UTP 2006 focused on the most significant results and raised awareness of the benefits of unifying theoretical frameworks.
This book is a strenuous critique of the misinterpretation of statistical knowledge of populations in mainstream psychology, exploring the implications of assuming that those statistics constitute scientific knowledge of individuals. It investigates the essential nature and historical roots of this interpretive practice, and documents the lack of change in mainstream thinking despite previous critiques of the practice. The author contends that prevailing interpretive traditions result in bad science, in that invalid claims are made to knowledge of individuals. He also discusses the socio-ethical problems resulting from this misinterpretation of statistics, where psychological practitioners unjustifiably endorse interventions in the lives of individuals. Lamiell urges psychologists to abandon the aggregate statistical methods which he argues have transformed the field into ‘psycho-demography,’ and to embrace instead alternative research methods that are logically suited to gaining scientific knowledge about the psychological functioning of individuals. This book concludes by highlighting some of the currently available methodological alternatives, as well as discussing some enduring conceptual impediments to the serious consideration of those alternatives.
In recent years, applied mathematics has been used in all novel disciplines of scientific development. Advances in Applied Mathematical Problems summarizes interdisciplinary work within the field of applied mathematics. The topics discussed in the book include:• Similarity Solutions of Spherical Shock Waves in a Self-Gravitating Ideal Gas• Dual Solutions for Finite Element Analysis of Unsteady Hydromagnetic Stagnation Point Flow of Water Nanofluid Generated by Stretching Sheet• Multiparametric modeling of carbon cycle in temperate wetlands for regional climate change analysis using satellite data• An Intelligent Neuro Fuzzy System for Pattern Classification• Fuzzy inventory model with demand, deterioration and inflation: a comparative study through NGTFN and CNTFN• Summability and its application for the stability of the system• Design Of Manufacturing, Control, And Automation Systems• SEIR - Application for Crop through Water and Soil Texture• Advances in radial basis functions• Modeling For Time Period Of Natural Frequency For Non-Homogeneous Square Plate With Variable Thickness And Temperature Effect• A Study On Metric Fixed Point Theorems Satisfying Integral Type Contractions • Objective Function – In Radiometric Studies –Application to Agrs Surveys Associated With Radon• Modelling Kernel Function in Black body Radiation Inversion
As health care is moving toward a team effort with patients as partners, this book provides guidance on the optimized use of health information and supporting technologies, and how people think and make decisions that affect their health and wellbeing. It focuses on investigations of how general public understand health information, assess risky behaviors, make healthcare decisions, and how they use health information technologies. e-health technologies have opened up new horizons for promoting increased self-reliance in patients. Although information technologies are now in widespread use, there is often a disparity between the scientific and technological knowledge underlying health care practices and the cultural beliefs, mental models, and cognitive representations of illness and disease. Misconceptions based on inaccurate perceptions and mental models, and flawed prior beliefs could lead to miscommunication as well as to erroneous decisions about individuals’ own health or the health of their family members. Cognitive Informatics in Health and Biomedicine: Understanding and Modeling Health Behaviors presents state of the art research in cognitive informatics for assessing the impact of patient behaviour. It is designed to assist all involved at the intersection of the health care institution and the patient and covers contributions from recognized researchers and leaders in the field.
This insightful book offers contemporary psychologists and other social theorists an understanding of the comprehensive system of thought developed by the German scholar William Stern (1871–1938) known as critical personalism. Expanding the author’s ongoing efforts in this area, the book considers, firstly, how critical personalism could ground a needed revival of psychological science, a need created by the field's gradual transformation, through its widespread adoption of aggregate statistical methods of investigation, into a discipline better characterized as 'psycho-demography.' Consistent with Stern's own view of the potential of critical personalism vis-a-vis socio-ethical concerns, the book then explores how the framework could facilitate a transcendence of thinking about racial and other social relationships beyond currently prevailing narratives about personkinds into narratives that are actually about persons. This part of the book includes a chapter discussing Stern's own historical efforts in this direction, serving to highlight the non-individualistic nature of critically personalistic thinking. Throughout, Lamiell constructs a clear case for the merits and applicability of critical personalism in modern psychology and social thought. Primer in Critical Personalism will interest established psychological scientists and advanced students in the field, as well as those who are concerned about our contemporary socio-cultural ethos and the prospects for its improvement, including philosophers, sociologists, educators, journalists, clerics, and thoughtful laypersons alike.
