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C.H.O.I.C.E.S. Model: Choosing Love Instead of Fear is a self-empowerment book which was 35 years in the making and based on extensive research. That research distilled down to its essence demonstrates that stress is not, as is often portrayed in popular culture, the enemy. Data from two separate fields, academia, and industry, while having opposing views on who is responsible for reducing felt stress, both agree that the primary mitigator of harmful distress is locus of control (LOC). Internal LOC locates the control within the individual whereas external LOC locates the control from outside forces. The consensus by academia and industry is the more LOC is internal, the less distress is felt. Chosen versus imposed stressors yield less harmful impacts from the distress. This research becomes a powerful tool to help reduce distress by restoring control to the individual. Life can be so overwhelming that automatic knee jerk reactions are used to fend off a constant barrage of stressors. The CHOICES Model provides a way to be proactive. The more this is done consciously the greater the sense of wellbeing. The book presents seven life areas which give purpose and meaning. The areas include Community, Health, Occupation, Investment, Creativity, Education, and Spirituality. Each is essential to a quality life. The premise of this book is that an individual’s perception of their own personal power increases with every small success and one area of success gives the individual confidence to believe in themselves enough to attempt challenges in the other domains. There’s a chapter for each of these seven equally important domains. Each area is defined along with the rationale and tools necessary for personal development. Community is important because we are social beings with needs for belonging. Letting someone know you care allows joy to spring through both your hearts. No matter our physical or mental condition, health matters to all of us. Our personal level of wellbeing sets the limits for what can be our personal best. Build strength and immunity when feeling well and be gentle with yourself when you’re not. Occupation is important because we all have a need to be part of something bigger than ourselves; a calling to make a difference; and a desire to leave a meaningful legacy. This needn’t be one’s vocation. It is literally what occupies our time and energy. It may be an avocation or volunteer service work. However we spend our time, let our life’s work lift our hearts and move us all into better days. Investment is not limited to finances. This area is all about how we spend our resources. Besides money, it includes our time, energy, and level of commitment. Let’s be generous and give of ourselves without expecting anything in return. In this way we all have the power to be superheroes. Creativity is important because it defines who we are. We build a life. We express who we are. We make something that only we can imagine. Expressions from our hearts are never wasted. When we bring something new into this world we give birth to something that will survive us. Education is something we do naturally and have done since we took our first breath. Lifelong learning helps us make our way in the world. We know that reading to a child instills curiosity and ignites intelligence. Let’s read to a child tonight and if that’s not possible, let’s all continue reading to our inner child. Finally, spirituality provides transcendence to see and feel beyond our limitations and provides love when facing the void. Namaste! The light within me bows to the light within you. Let’s spread this message and celebrate the sacred in each other.
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
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Dr. William Glasser offers a new psychology that, if practiced, could reverse our widespread inability to get along with one another, an inability that is the source of almost all unhappiness. For progress in human relationships, he explains that we must give up the punishing, relationship–destroying external control psychology. For example, if you are in an unhappy relationship right now, he proposes that one or both of you could be using external control psychology on the other. He goes further. And suggests that misery is always related to a current unsatisfying relationship. Contrary to what you may believe, your troubles are always now, never in the past. No one can change what happened yesterday.
This is a Team-Building Facilitator's Guide and Teammate Handbook. This book is about Team-Building, The Right-Minded Way. I bet you're one of those smart people who prefer a real-world workshop over a "pretend" one, right? Real-world team-building does not subscribe to the idea that games, outdoor exercises, or social events are the most effective approaches. They can be a lot of fun, but they're not valid substitutes for getting real teamwork done because they are indirect and do not resolve the team's most pressing teamwork issues. They are pretend workshops. This approach has nothing to do with right brain behavior or right wing political philosophies. This teamwork approach is based on choices that, taken together, define your team's right-minded thought system. Stop. Make certain you understand this essential point. People often ask, "Who decides what is right?" The answer is simple: your team decides. Learn how to facilitate and incorporate these 9 choices in your team using straightforward exercises. Use this book with other RMT courses such as our free and comprehensive 12 Step online course: How to Design a Right-Minded Team Building Workshop. When you incorporate Right-Minded Teamwork into your team-building practice, You will create satisfied team-building customers that recommend you to other teams. You will have truly helped your client team to successfully address and resolve their real-world team issues, and You will build a long and rewarding team-building facilitator career that will produce many life-long and enduring friendships.
Whether we're buying a pair of jeans, ordering a cup of coffee, selecting a long-distance carrier, applying to college, choosing a doctor, or setting up a 401(k), everyday decisions—both big and small—have become increasingly complex due to the overwhelming abundance of choice with which we are presented. As Americans, we assume that more choice means better options and greater satisfaction. But beware of excessive choice: choice overload can make you question the decisions you make before you even make them, it can set you up for unrealistically high expectations, and it can make you blame yourself for any and all failures. In the long run, this can lead to decision-making paralysis, anxiety, and perpetual stress. And, in a culture that tells us that there is no excuse for falling short of perfection when your options are limitless, too much choice can lead to clinical depression. In The Paradox of Choice, Barry Schwartz explains at what point choice—the hallmark of individual freedom and self-determination that we so cherish—becomes detrimental to our psychological and emotional well-being. In accessible, engaging, and anecdotal prose, Schwartz shows how the dramatic explosion in choice—from the mundane to the profound challenges of balancing career, family, and individual needs—has paradoxically become a problem instead of a solution. Schwartz also shows how our obsession with choice encourages us to seek that which makes us feel worse. By synthesizing current research in the social sciences, Schwartz makes the counter intuitive case that eliminating choices can greatly reduce the stress, anxiety, and busyness of our lives. He offers eleven practical steps on how to limit choices to a manageable number, have the discipline to focus on those that are important and ignore the rest, and ultimately derive greater satisfaction from the choices you have to make.
This tutorial presents a hands-on introduction to a new discrete choice modeling approach based on the behavioral notion of regret-minimization. This so-called Random Regret Minimization-approach (RRM) forms a counterpart of the Random Utility Maximization-approach (RUM) to discrete choice modeling, which has for decades dominated the field of choice modeling and adjacent fields such as transportation, marketing and environmental economics. Being as parsimonious as conventional RUM-models and compatible with popular software packages, the RRM-approach provides an alternative and appealing account of choice behavior. Rather than providing highly technical discussions as usually encountered in scholarly journals, this tutorial aims to allow readers to explore the RRM-approach and its potential and limitations hands-on and based on a detailed discussion of examples. This tutorial is written for students, scholars and practitioners who have a basic background in choice modeling in general and RUM-modeling in particular. It has been taken care of that all concepts and results should be clear to readers that do not have an advanced knowledge of econometrics.
It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
"There are different views on what preferences for risks are and whether they are indicators of stable, underlying generic cognitive systems. Preferences could be conceived as an attitude towards a set of properties of context, memory and affect - a gauge of how much uncertainty one is willing to tolerate. This Research Topic aims to initiate a discussion on the stability of preferences for risks - as research has shown that different decision domains, response modes, and framing facilitate preference reversals. A consistent claim from behavioural decision researchers is that, contrary to the assumptions of classical economics, preferences are not stable and inherent constructs in individuals but are modified by levels of accessibility in memory, context, decision complexity, and type of psychological processing (e.g., sampling or computational "trade-offs" in processing). For example, in a sampling-based decision-making paradigm it is argued that preferences are not essential for making risky decisions. The existing theoretical and empirical evidence reveals that human preferences are relative and unstable, undermining the predictions of normative theory. Recent theoretical accounts in psychology have expanded the debate further by offering evolutionary models of decision-making under risk. While most of the researcher has explored optimisation goals (traditionally assumed in economics), evolutionary psychology has promoted adaptation-driven processes for risky choices. Moreover, we have witnessed a renaissance of preferences as affect rather than as a construct with psycho-economical properties. Although behavioural decision research is still engaged in challenging the foundation of economic theory, at present, opinions seem less unified as to whether preferences reflect common psychological constructs. The Research Topic will focus on human preferences and risky choices. Topics include: Normative, descriptive and experience-based decision making, Preference reversals, Accessibility in memory, Context dependence, Psychological processing (including i) probabilities, utilities, computations and 'trade-offs', and ii) sampling), Affect, and Evolutionary accounts." -- Provided by publisher.
The emerging interdisciplinary field of cognitive choice models integrates theory and recent research findings from both decision process and choice behavior. Cognitive decision processes provide the interface between the environment and brain, enabling choice behavior, and the basic cognitive mechanisms underlying decision processes are fundamental to all fields of human activity. Yet cognitive processes and choice processes are often studied separately, whether by decision theorists, consumer researchers, or social scientists. In Cognitive Choice Modeling, Zheng Joyce Wang and Jerome R. Busemeyer introduce a new cognitive modeling approach to the study of human choice behavior. Integrating recent research findings from both cognitive science and choice behavior, they lay the groundwork for the emerging interdisciplinary field of cognitive choice modeling.