Religación. Revista de Ciencias Sociales y Humanidades
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    SOCITS: A SOCial sITuational Systems approach to measuring and modelling influences on adolescent mental health

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    This project will create a new method for researchers, counsellors, teachers, and young people to do research about adolescent mental health. It will also study how the method works, what training you need to use it, and how easy it is for researchers to learn the method. Most mental health survey research asks questions about how individual young people feel in general, asking people if they feel stressed or lonely 'all of the time', 'most of the time' or 'none of the time', but without asking what the different times are like, or what other people are doing at the times where they feel stressed or lonely. We think that research spends too much time looking at individual young people, and too much time asking general questions about mental health. Instead, we should look at the important situations in young people's lives, we should look at different social interactions that take place in those situations, and we should think about the connections betweenpeople. Looking at connections between people is thinking about a system of people, so we call our approach the SOCial SITuational Systems or SOCITS approach. SOCITS will help to understand the reasons for things like loneliness, stress and mental health. And change how we improve mental health. Instead of only looking at what goes on inside people's heads, SOCITS will looking at the social situations and places around individuals that affect mental health. In the project, we will: - Train young people to be researchers to conduct qualitative interviews with their peers. - Host multi-stakeholder workshops to discuss findings of interviews and inform survey development. - Conduct a larger survey among school-aged young people. - Develop agent-based models based on interview findings and survey findings

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    TUL Doctoral School 2022 November

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    Presentations, activities, itinerary and information about bus and accomodation for TUL doctoral school held in November 2022

    The Micromanagement Project

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    Micromanagement is a popular topic in management circles, where its negative reputation is palpable. Surprisingly, academics have not shared this interest. Although micromanagement is ubiquitous in various occupations (e.g., military, nursing), our assessment of scholarly work revealed that this literature suffers from a deficient understanding of micromanagement marred by disjointed definitions that arbitrarily highlight assumed facets (e.g., control, close monitoring, detail focus) as well as paradoxical views about its effectiveness (e.g., good versus bad practice). The purpose of this research is to develop and validate a micromanagement measure as an essential foundation in the study of this phenomena. We aim to accomplish this purpose through a programmatic series of studies that span three phases: (1) Construct definition, (2) Scale development, and (3) Construct validation

    How fair is a fair coin flip?

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    Coin flipping has been used as a classic example of a random process in introductory statistics classes for centuries. A good old-fashioned coin flip is still used as a way of determining the starting party in games such as soccer, football, or volleyball, which can lead to a slight advantage. Is it, however, possible to justify decisions based on a coin flip to be random, even though the standard physics model can describe the outcome of a coin flip as a function of the initial velocity and spin? Keller (1986) showed that, under a sufficient initial speed and spin, even a minor difference in the initial conditions renders the outcome essentially random. Our inability to produce the exact initial conditions then confirms our day-to-day experience of the randomness of a coin-flipping process. Nonetheless, Diaconis and colleagues (2007) expanded the coin-flipping model by accounting for "precession" (a change in the rotational axis of the coin throughout the flip trajectory) and theorized that coins flipped with sufficient initial speed and spin would more often land on the same side as they were flipped from. Diaconis and colleagues estimated that the degree of the same-side bias is small (~1%), which could still result in observations mostly consistent with our limited coin-flipping experience. This project aims to compare Diaconis's and the fair coin flip hypothesis experimentally. Diaconis, P., Holmes, S., & Montgomery, R. (2007). Dynamical bias in the coin toss. SIAM Review, 49(2), 211-235. Keller, J. B. (1986). The probability of heads. The American Mathematical Monthly, 93(3), 191-197

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