Locus of Controls inverkan på strategier för konflikthantering i kärleksrelationer

Syftet var att undersöka om personers Locus of Control påverkar deras konflikthanteringsstrategier i kärleksrelationer. Hypoteserna var: H1: Det finns skillnader mellan personer med extern och intern Locus of Control när det gäller vilka typer av strategier de använder för att hantera kärleksrelationsproblem. H2: Personer med intern Locus of Control har större benägenhet att använda sig av relationskonflikthanteringsstrategin Kompromiss i sina kärleksrelationer. H3: Kvinnor påverkas mer än män av Locus of Control när det gäller vilka typer av strategier de använder för att hantera kärleksrelationsproblem. Deltagarna var 172 studenter. Data insamlades med en webbenkät innehållande svenska versioner av Rotters I-E skala och RPCS. Resultatet visade en signifikant skillnad mellan personer med intern och extern Locus of Control i tre konflikthanteringsstrategier: Kompromiss, Underkastelse och Undvikande. Vidare använde personer med intern Locus of Control Kompromiss mer. Personer med extern Locus of Control använde Underkastelse och Undvikande mer. Skillnaderna fanns bara bland kvinnorna. Samtliga hypoteser kunde därmed godtas. Undersökningen visade att Locus of Control är en möjlig anledning till varför personer använder sig av vissa typer av konflikthanteringsstrategier i kärleksrelationer.

The Power of the Synthetic Control Method

The synthetic control method (SCM) is a new, popular method developed for the purpose of estimating the effect of an intervention when only one single unit has been exposed. Other similar, unexposed units are combined into a synthetic control unit intended to mimic the evolution in the exposed unit, had it not been subject to exposure. As the inference relies on only a single observational unit, the statistical inferential issue is a challenge. In this paper, we examine the statistical properties of the estimator, study a number of features potentially yielding uncertainty in the estimator, discuss the rationale for statistical inference in relation to SCM, and provide a Web-app for researchers to aid in their decision of whether SCM is powerful for a specific case study. We conclude that SCM is powerful with a limited number of controls in the donor pool and a fairly short pre-intervention time period. This holds as long as the parameter of interest is a parametric specification of the intervention effect, and the duration of post-intervention period is reasonably long, and the fit of the synthetic control unit to the exposed unit in the pre-intervention period is good.

DC Motor Speed Control via Fuzzy / Pole Placement / PI Controller

This report presents a new way of control engineering. Dc motor speed controlled by three controllers PID, pole placement and Fuzzy controller and discusses the advantages and disadvantages of each controller for different conditions under loaded and unloaded scenarios using software Matlab. The brushless series wound Dc motor is very popular in industrial application and control systems because of the high torque density, high efficiency and small size. First suitable equations are developed for DC motor. PID controller is developed and tuned in order to get faster step response. The simulation results of PID controller provide very good results and the controller is further tuned in order to decrease its overshoot error which is common in PID controllers. Further it is purposed that in industrial environment these controllers are better than others controllers as PID controllers are easy to tuned and cheap. Pole placement controller is the best example of control engineering. An addition of integrator reduced the noise disturbances in pole placement controller and this makes it a good choice for industrial applications. The fuzzy controller is introduce with a DC chopper to make the DC motor speed control smooth and almost no steady state error is observed. Another advantage is achieved in fuzzy controller that the simulations of three different controllers are compared and concluded from the results that Fuzzy controller outperforms to PID controller in terms of steady state error and smooth step response. While Pole placement controller have no comparison in terms of controls because designer can change the step response according to nature of control systems, so this controller provide wide range of control over a system. Poles location change the step response in a sense that if poles are near to origin then step response of motor is fast. Finally a GUI of these three controllers are developed which allow the user to select any controller and change its parameters according to the situation.