The trend in process-oriented curricula reform began in the mid-1980s and 1990s in response to a call for nursing education to graduate registered nurses that were responsive to a changing society. Many curricula were redesigned from a traditional approach to a process-oriented approach at this time. The purpose of this study is to explore, from a Grounded Theory approach, how instructional strategies are determined within the Canadian classroom setting in a process-oriented curriculum. Interviews were conducted with 17 nurse educators from the Nursing Education Program of Saskatchewan (NEPS). Nurse educators represented courses from all years of the four-year baccalaureate program and all three sites. All interviews were audiotaped and transcribed verbatim with data saturation reached after 13 interviews. Strauss and Corbins (1998) Grounded Theory analysis was utilized. Data analysis was assisted with the use of the qualitative data analysis software program Atlas.ti. The understanding of self was an integrating factor in the theory. The theory provides insights into the factors that have determined the types of instructional strategies utilized by full-time faculty within a generic process-oriented curriculum and identifies the support systems these nurse educators feel were or should be in place to assist in their roles. The research has implications for nurse educators, administrators, program planners, and students.

The trend in process-oriented curricula reform began in the mid-1980s and 1990s in response to a call for nursing education to graduate registered nurses that were responsive to a changing society. Many curricula were redesigned from a traditional approach to a process-oriented approach at this time. The purpose of this study is to explore, from a Grounded Theory approach, how instructional strategies are determined within the Canadian classroom setting in a process-oriented curriculum. Interviews were conducted with 17 nurse educators from the Nursing Education Program of Saskatchewan (NEPS). Nurse educators represented courses from all years of the four-year baccalaureate program and all three sites. All interviews were audiotaped and transcribed verbatim with data saturation reached after 13 interviews. Strauss and Corbins (1998) Grounded Theory analysis was utilized. Data analysis was assisted with the use of the qualitative data analysis software program Atlas.ti. The understanding of self was an integrating factor in the theory. The theory provides insights into the factors that have determined the types of instructional strategies utilized by full-time faculty within a generic process-oriented curriculum and identifies the support systems these nurse educators feel were or should be in place to assist in their roles. The research has implications for nurse educators, administrators, program planners, and students.

Det är sedan länge känt att det finns en positiv korrelation mellan risk och avkastning. Investerare och bolag kan välja mellan flera olika prissättningsmodeller för att förutspå priset på en aktie. Forskare har, med den kända enfaktormodellen CAPM som utgångspunkt, utvecklat en modell som tar hänsyn till mer än bara marknadsfaktorn. Detta resulterade i framtagandet av Fama & French-trefaktormodellen (FF3) som även inkluderar storleksfaktorn SMB samt värdefaktorn HML. Syftet med studien är att utvärdera två prissättningsmodeller, CAPM och FF3, för att kunna bedöma deras prestanda vid värdering av förväntad avkastning. Tidigare forskning, inom området för nämnda modeller, berör ofta internationella marknader samt modellernas prestanda för portföljer. Vår studie utförs på utvalda enskilda svenska aktier inkluderade på Stockholmsbörsens Large Cap för januari år 2011 till december år 2015, genom att replikera tidigare forskning gjord av Bartholdy & Peare (2005). Utvalda bolag analyseras efter regressioner för modellerna för att kunna utvärdera dessa var för sig, samt för att se om FF3 har en högre justerad förklaringsgrad än CAPM för enskilda svenska aktier. Resultatet av studien visar att både CAPM och FF3 är applicerbara för utvalda enskilda svenska aktier. Ställs FF3 i förhållande till CAPM föreligger skillnad i justerad förklaringsgrad, dock är den ytterst marginell. Sammanfattningsvis bidrar studien med kunskapen om att CAPM och FF3 går att applicera på enskilda svenska aktier, men att det inte föreligger någon större skillnad i val av dessa två modeller. / Investors and companies can choose between multiple pricing models to predict the price of shares. With the known one factor model CAPM, researchers have developed a model that consider more than just the market factor. This resulted in the creation of the Fama & French three factor model (FF3), which also includes the size factor SMB and the value factor HML. The purpose of the study is to evaluate two pricing models, CAPM and FF3, to assess their performance when evaluating expected returns. Previous research often deal with international markets and model performance of portfolios. We study selected individual Swedish shares for January 2011 to December 2015 by replicating previous research by Bartholdy & Peare (2005). Selected companies are analysed by regressions for the models to be able to evaluate these separately, and to see if FF3 has a higher degree of explanation than CAPM for individual Swedish shares. The result of the study shows that both CAPM and FF3 are applicable for selected individual Swedish shares. There is a difference in the adjusted degree of explanation between the models but it is marginal. In conclusion, the study contributes with the knowledge that CAPM and FF3 can be applied to individual Swedish shares, but there is no major difference in the choice of these two models.

The goal of my research and study is to analyze market prices of the real estate properties on the borders of the Czech Republic, Slovakia and Austria. Based on the collection of the needed data, there are databases made in which the real estates are categorized by the type, disposition and location. According to the database, we can then calculate the average market prices of the real estate properties which we can later compare to the border regions' standards. Likewise, we also consider the specific structure of the database in the outputs, which helps us to outline the different factors influencing the property price. Special attention is paid to those factors which play a big part in the real estate prices. Likewise, we considered the other factors increasing the property market price in the study.