Search for dissertations about: "focus group method"
Showing result 1 - 5 of 398 swedish dissertations containing the words focus group method.
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1. Groupthink : An inquiry into the vicissitudes of regressive group processes
Abstract : The aim of this thesis was to examine and further develop an expanded groupthink model (Granstrom & Stiwne, 1998), and also to develop methods to capture the phenomenon in ordinary, authentic working groups. The groupthink model was first proposed by Janis (1972, 1982) and incorporates an omnipotent stance as something highly cohesive groups use handle difficult situations. READ MORE
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2. The Solvency II Capital Requirement for Insurance Groups : On the Tension Between Regulatory Law and Company Law
Abstract : Since 2016, supervision of insurance undertakings in the European Union has been based on the Solvency II legal Since 2016, supervision of insurance undertakings in the European Union has been based on the Solvency II legal framework. Insurance undertakings that are part of an insurance group must be sufficiently capitalized both at company level and at group level. READ MORE
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3. BACK TO ONESELF Sensory Motor Learning applied in patients with nonspecific chronic low back pain
Abstract : Back pain is an endemic problem affecting one in five adults every year. Even though only 10 % of all cases of back pain become chronic it is one of the largest health problems in industrialized societies. READ MORE
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4. Group supervision : learning psychotherapy in a small group format
Abstract : Group supervision in psychotherapy is today, in Sweden as well as internationally, a common form of supervision. Nevertheless, few systematic studies have been carried out in this field. There is an increasing demand for a more thorough understanding of the specific factors involved in group supervision. READ MORE
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5. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing
Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE