Individuals with autism spectrum disorder (ASD) display deficits in communication and social interaction that can impact their ability to function in daily environments. To remediate these deficits, it is critical for professionals to use effective interventions. While there are many evidence-based practices (EBPs) identified for ASD (e.g., video modeling), the adoption of these EBPs may not occur automatically. Existing research suggests professionals have a generally favorable impression of video modeling. However, little research has examined opinions and applied use of video modeling, which was the purpose of the present study. Using survey methodology, data were collected from 510 professionals in various disciplines (e.g., special educators, speech-language pathologists [SLPs], and behavior analysts [BCBAs]). Data were analyzed primarily via factor analysis and multiple regression. Factor analysis was used to examine the underlying structure of the instrument, revealing two predominant factors: (1) interest in and (2) perceived accessibility of video modeling. Multiple regression was used to examine which demographic characteristics (e.g., age and years of experience) were associated with each factor. Results indicated that BCBAs and SLPs perceived video modeling as more accessible. In terms of interest, professionals who worked with preschool-aged students, who worked in a suburban location, and who had an extended family member with ASD showed higher interest in video modeling. Implications for practice and future research are discussed.

This experiment was designed to determine which assessment method: continuous assessment (in the form of daily in-class quizzes), cumulative assessment (in the form of online homework), or project-based learning, best predicts student learning (dependent upon posttest grades) in an undergraduate mathematics course. Participants included 117 university-level undergraduate freshmen enrolled in a course titled "Mathematics for Calculus". Initially, a multiple regression model was formulated to model the relationship between the predictor variables (the continuous assessment, cumulative assessment, and project scores) versus the outcome variable (the posttest scores). However, due to the possibility of multicollinearity present between the cumulative assessment predictor variable and the continuous assessment predictor variable, a stepwise regression model was implemented and caused the cumulative assessment predictor variable to be forced out of the resulting model, based on the results of statistical significance and hypothesis testing. The finalized stepwise regression model included continuous assessment scores and project scores as predictor variables of students' posttest scores with a 99% confidence level. Results indicated that ultimately the continuous assessment scores best predicted students' posttest scores.

In the last few years, Sweden has felt rising energy prices leading to more harsh living for single houses. In the years 2021–2022, both Europe and Sweden witnessed record-high electricity prices and experts predicted an increase in the coming years. As a result of this, homeowners began to improve their energy efficiency in their homes. Therefore, this study will aim to answer the question “How does the final price of detached houses differentiate between Gothenburg and Luleå due to their energy efficiency?”. The hypothesis for the work is that a positive relationship between sales price and energy efficiency occurs. That Gothenburg will have a larger effect than Luleå. To answer the question a quantitative method is applied using the hedonic pricing model with two multiple regressions, one for each cross-section. The time series is from 2020–2023. The variables used are sale price as a dependent variable and a series of eight independent variables. The regression results show a positive relationship between energy efficiency measures and final price in both cross sections. Furthermore, the results are significant for Luleå and insignificant for Gothenburg. Regarding Luleå energy efficient ventilation and heating has a statistical significance on sale price. Meanwhile, house size and plots of land are significant for Gothenburg. These results are both in line with previous research but also contradict them. The thesis is unique because the analysis is made between two different energy pricing areas in Sweden. / Under de senaste åren har Sverige påverkats av stigande energipriser. Detta har resulterat i en mer pressad situation för småhusägare runt om i landet. Under åren 2021–2022 upplevde Sverige och Europa rekordhöga energipriser och experter förutspår en fortsatt ökning under de kommande åren. Med detta i åtanke har småhusägare börjat energieffektivisera sina hem. Således kommer denna uppsats besvara problemformuleringen “Hur skiljer sig slutpriset på småhus mellan Göteborg och Luleå av energieffektivisering?". Hypotesen för arbetet är att finna ett positivt samband mellan slutpris och energieffektivisering. Där till att inverkan i Göteborg är större än i Luleå. För att besvara frågeställningen appliceras en kvantitativ metod tillsammans med den hedoniska prismodellen. Modellen använder två multipla regressioner, en för vardera tvärsnitt. Tidsserien är mellan år 2020–2023. Den beroende variabeln är slutpris och förklaras med hjälp av åtta oberoende variabler. Regressionsresultaten visar ett positivt samband mellan energieffektiviserande åtgärder och slutpris i båda kommunerna. Dock är koefficienterna signifikanta i Luleå och icke signifikanta i Göteborg. För Luleå är energieffektiv ventilation och energieffektiva uppvärmningssystem statistiskt fastställda. Medan för Göteborg påvisar boarea och tomtstorlek signifikans. Resultaten ligger både i linje med tidigare forskning men motsäger även dem. Uppsatsen är unik då analysen genomförs mellan två olika energiområden i Sverige.

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Commercial alloys are continuously developed to improve their performance. Therefore it is important to develop new optimisation software, which could be used in development of new materials or in materials selection. In this study the mechanical properties which are important in materials selection in mechanical design are investigated. Two types of materials are analysed, aluminium alloys and stainless steels but focus will be on the aluminium alloys. Thermodynamic analysis has been used to evaluate the effect of the microstructure. Solid solution hardening has been successfully modelled for both aluminium alloys and stainless steels and follows the theories by Labusch and Nabarro. The precipitation hardening is most dominant for the hardenable aluminium alloys, but the non-hardenable alloys also increase their strength from precipitation hardening. The non-hardenable alloys are divided into tempers, which differ in the amount of strain hardening. This has also been modelled successfully. Combining these fundamental results with multiple regression, models for mechanical properties have been created. Separate models are developed for wrought aluminium alloys and stainless steels. For the aluminium alloys this includes the solid solution hardening and the precipitation hardening. For the stainless steels the thickness, nitrogen content and ferrite content are included together with the solid solution hardening. / QC 20101122

Syftet med denna studie är att undersöka hur nivån på humankapital i ett land kommer att påverka effekten av utländska direktinvesteringar på ekonomisk tillväxt. Studien omfattar 31 OECD-länder under tidsperioden 1989-2020. FDIs inverkan på ekonomisk tillväxt undersöks i en multipel regressionsmodell med paneldata där fokus ligger på samspelet mellan utländska direktinvesteringar och utbildning (en proxy för humankapital). Det teoretiska ramverket är huvudsakligen fokuserat på Romers endogena tillväxtteori och institutionell teori. Resultatet av den multipla regressionsmodellen visar att utländska direktinvesteringar som en enskild variabel har en positiv effekt på ekonomisk tillväxt. Samspelet mellan utländska direktinvesteringar och humankapital visade sig ha en negativ effekt på den ekonomiska tillväxten. Resultatet av humankapitalet som en enskild faktor visade sig dock vara positivt i förhållande till ekonomisk tillväxt. Resultatet av studien indikerar att utländska direktinvesteringar som en oberoende faktor har en positiv inverkan på den ekonomiska tillväxten samt humankapital som en oberoende faktor. Resultatet tyder på att en hög nivå på humankapitalet i ett land attraherar inte tillräckligt mycket utländska direktinvesteringar för att ha en positiv effekt på den ekonomiska tillväxten. / The purpose of this study is to examine how the level of human capital in a country will influence the effect FDI has on economic growth. The study covers 31 OECD-countries during the time period 1989-2020. The impact of FDI on economic growth is examined in a multiple regression model with panel data where the focus is on the interaction between FDI and education (a proxy for human capital). The theoretical framework is mainly focused on Romer’s endogenous growth theory and institutional theory. The result of the multiple regression model shows that FDI as a single variable has a positive effect on economic growth. The interaction between FDI and human capital was shown to have a negative effect on economic growth. However, the result of human capital as a single factor was proved to be positive in relation to economic growth. The results indicate that a high level of human capital in a country does not attract enough foreign direct investment to have a positive effect on economic growth.