This concise reference serves as a companion to traditional research texts by focusing on such essentials as model construction, robust methodologies and defending a compelling hypothesis. Designed to wean Master's and doctorate-level students as well as new researchers from their comfort zones, the book challenges readers to engage in multi-method approaches to answering multidisciplinary questions. The result is a step-by-step framework for producing well-organized, credible papers based on rigorous, error-free data. The text begins with a brief grounding in the intellectual attitude and logical stance that underlie good research and how they relate to steps such as refining a topic, creating workable models and building the right amount of complexity. Accessible examples from psychology and business help readers grasp the fine points of observations, interviewing, simulations, interpreting and finalizing data and presenting results. Fleshed out with figures, tables, key terms, tips, and questions, this book acts as both a friendly lecturer and a multilevel reality check.

Sharon De Mascia's text uses human behaviour, established and emerging psychological models to provide perspectives on and tools for managing people in projects, including project team selection, people and team management, team cohesion, and much more.

This concise reference serves as a companion to traditional research texts by focusing on such essentials as model construction, robust methodologies and defending a compelling hypothesis. Designed to wean Master's and doctorate-level students as well as new researchers from their comfort zones, the book challenges readers to engage in multi-method approaches to answering multidisciplinary questions. The result is a step-by-step framework for producing well-organized, credible papers based on rigorous, error-free data. The text begins with a brief grounding in the intellectual attitude and logical stance that underlie good research and how they relate to steps such as refining a topic, creating workable models and building the right amount of complexity. Accessible examples from psychology and business help readers grasp the fine points of observations, interviewing, simulations, interpreting and finalizing data and presenting results. Fleshed out with figures, tables, key terms, tips, and questions, this book acts as both a friendly lecturer and a multilevel reality check.

This book is the first practical, hands-on guide that shows how leaders can build psychological safety in their organizations, creating an environment where employees feel included, fully engaged, and encouraged to contribute their best efforts and ideas. Fear has a profoundly negative impact on engagement, learning efficacy, productivity, and innovation, but until now there has been a lack of practical information on how to make employees feel safe about speaking up and contributing. Timothy Clark, a social scientist and an organizational consultant, provides a framework to move people through successive stages of psychological safety. The first stage is member safety-the team accepts you and grants you shared identity. Learner safety, the second stage, indicates that you feel safe to ask questions, experiment, and even make mistakes. Next is the third stage of contributor safety, where you feel comfortable participating as an active and full-fledged member of the team. Finally, the fourth stage of challenger safety allows you to take on the status quo without repercussion, reprisal, or the risk of tarnishing your personal standing and reputation. This is a blueprint for how any leader can build positive, supportive, and encouraging cultures in any setting.

Mice are used as model organisms across a wide range of fields in science today—but it is far from obvious how studying a mouse in a maze can help us understand human problems like alcoholism or anxiety. How do scientists convince funders, fellow scientists, the general public, and even themselves that animal experiments are a good way of producing knowledge about the genetics of human behavior? In Model Behavior, Nicole C. Nelson takes us inside an animal behavior genetics laboratory to examine how scientists create and manage the foundational knowledge of their field. Behavior genetics is a particularly challenging field for making a clear-cut case that mouse experiments work, because researchers believe that both the phenomena they are studying and the animal models they are using are complex. These assumptions of complexity change the nature of what laboratory work produces. Whereas historical and ethnographic studies traditionally portray the laboratory as a place where scientists control, simplify, and stabilize nature in the service of producing durable facts, the laboratory that emerges from Nelson’s extensive interviews and fieldwork is a place where stable findings are always just out of reach. The ongoing work of managing precarious experimental systems means that researchers learn as much—if not more—about the impact of the environment on behavior as they do about genetics. Model Behavior offers a compelling portrait of life in a twenty-first-century laboratory, where partial, provisional answers to complex scientific questions are increasingly the norm.

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 hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

More than a half-century has passed since Cronbachs distinction between the correlational and experimental approaches in psychology. Yet measurement today is not much better integrated with psychological theory than it was in the late 1950s, and many argue that the traditional psychometric model itself may have introduced constraints that have limited the integration of measurement and theory. Measuring Psychological Constructs seeks to break through these constraints by offering conceptual alternatives to traditional item-response theorys fixed-content/multiple-choice models. This edited volumes contributors present groundbreaking explanatory approaches to model-based measurement that provide various psychological constructs with more authentic measures such as constructed-response tasks and performance assessment. These new explanatory approaches not only extend rigorous psychometric methods to a variety of major psychological constructs, but also have the potential to change fundamentally the nature of the constructs that are being measured. Grounded in psychometrics and quantitative assessment, and in the history and major theoretical approaches of psychology, Measuring Psychological Constructs is aimed at students, teachers, researchers, and practitioners alike, in variety of psychology subdisciplines that include developmental and geriatric, industrial/organizational, clinical and counseling, educational, social and personality, experimental, neuropsychology, health and rehabilitation, and quantitative psychology.

Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.

Recognized as the definitive reference, this handbook brings together leading experts from multiple psychological subdisciplines to examine one of today's most dynamic areas of research. Coverage encompasses the biological and neuroscientific underpinnings of emotions, as well as developmental, social and personality, cognitive, and clinical perspectives. The volume probes how people understand, experience, express, and perceive affective phenomena and explores connections to behavior and health across the lifespan. Concluding chapters present cutting-edge work on a range of specific emotions. Illustrations include 10 color plates. New to This Edition *Chapters on the mechanisms, processes, and influences that contribute to emotions (such as genetics, the brain, neuroendocrine processes, language, the senses of taste and smell). *Chapters on emotion in adolescence and older age, and in neurodegenerative dementias. *Chapters on facial expressions and emotional body language. *Chapters on stress, health, gratitude, love, and empathy. *Many new authors and topics; extensively revised with the latest theoretical and methodological innovations. A Choice Outstanding Academic Title

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com