The enactment of the NCLB Act of 2001 and its legislative mandates for accountability testing throughout the nation brought to the forefront the issue of data-driven decision making. This emphasis on improving education has been spurred due to the alleged failure of the public school system. As a result, the role of administrators has evolved to incorporate data-driven decision-making practices to help make educational choices. While the underlying assumption of implementing data-driven decision making is that it will lead to improvements in education, this has yet to be empirically proven. The purpose of the study was to analyze the relationships among school characteristics, principals' level of experience, principals' data-driven decision making practices, and student achievement. This census study addressed principals of k-5 public elementary schools. In this quantitative study, a web-based survey was used to measure principals' data-driven ion-making practices. The student achievement data examined were the California Standards Test results for English language arts and mathematics for the 2009–2010 and 2010–2011 school years. Through a series of multiple regression analyses, the study examined the relationships among school characteristics, principals' level of experience, principals' data-driven decision making practices, and student achievement. Specifically. this study explored the amount of variance in student achievement scores in language arts and mathematics that could be explained by school characteristics, principals' level of experience, and data-driven decision-making practices. The results showed principals are incorporating data-driven decision-making practices in k-5 public elementary schools in California. In addition, the results showed that principals believe the quality of their decision making has improved due to implementing data-driven decision making. Principals indicated they were incorporating practices identified in the four constructs used in the present study: (a) establishing a data-driven culture, (b) data-driven decision making by teachers to improve student achievement, (c) supporting systems for DDDM, and (d) collaboration among teachers using data-driven decision making. A strong negative correlation was found between the number of students on free and reduced lunch and student achievement.

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Biodiversity surveys conducted by consulting firms generate valuable biodiversity data. However, the full potential of this data remains untapped without proper structuring and integration into a collaborative network of shared data. This thesis addresses the lack of studies exploring data management in biodiversity surveys and the specific requirements for data structuring. The objective of this Bachelor’s thesis is to introduce the concepts of data management in biodiversity surveys and collaborative data sharing, which have gained scientific popularity due to advancements in data-driven technologies and growing public interest in environmental sustainability. Using a qualitative and exploratory approach based on the Design Science Research paradigm, this research draws general conclusions on data management practices in biodiversity surveys and identifies the requirements for new data standards. The findings of this thesis serve as a starting point for ongoing efforts toward establishing a standardised structure for biodiversity survey data. Such a structure would enable meaningful insights through data-driven technologies and facilitate integration into a collaborative network of shared data. By addressing the gap in understanding data management and data standards in biodiversity surveys, this research contributes to the effective utilization of biodiversity data, ultimately supporting the achievement of sustainability goals. / Naturvärdesinventeringar utförda av konsultfirmor i Sverige genererar en betydande mängd biodiversitetsdata. För att utnyttja värdet av denna data fullt ut är strukturerad hantering och öppen samverkan och delning av data inom öppna data-ekosystem avgörande. Genom att organisera och standardisera datan på ett enhetligt sätt blir den mer användbar och kan bidra till att uppnå globala och nationella hållbarhetsmål. Trots behovet finns det brist på studier som fokuserar på datahantering vid Naturvärdesinventeringar och specifikt specificerar kraven för strukturerad hantering av data. Detta kandidatarbete introducerar ämnet datahantering från Naturvärdesinventeringar samt delning av data inom öppna data-ekosystem. Dessa ämnen har blivit alltmer populära inom forskningen på grund av framstegen inom datadrivna teknologier och det ökande allmänna intresset för miljömässig hållbarhet. Med en kvalitativ och utforskande metod baserad på Design Science Research-paradigmet drar denna forskning generella slutsatser om god praxis för datahantering vid Naturvärdesinventeringar samt identifierar krav som behöver uppfyllas för att kunna dela datan inom öppna data-ekosystem. Resultaten av detta arbete utgör en grund för fortsatt arbete mot att etablera en standardiserad struktur för biodiversitetsdata från Naturvärdesinventeringar. En sådan struktur skulle möjliggöra djupare insikter genom datadrivna teknologier samt underlätta integreringen av data inom öppna data-ekosystem. Genom att belysa kunskapsbristen inom datahantering och datastandarder vid Naturvärdesinventeringar bidrar detta arbete till en effektivare användning av biodiversitetsdata och stödjer därmed arbetet med att uppnå hållbarhetsmålen.

There has been a growing interest in economic policies and their impact within a country among the real estate economics research community in recent years. After the economic crisis of 2008, an unconventional monetary policy was created, and it has been called quantitative easing (QE), an instrument of economic policy applied through central banks to boost the economy in periods when conventional monetary policy is not satisfactory. As with the economic challenge brought by COVID-19, many central banks had to implement unconventional monetary plans. This thesis aims to discover the impact of quantitative easing (QE) and its opposite quantitative tapering (QT) on the housing prices of the US real estate market. In order to deal with this problem, this research performs time-varying rolling correlations, which are correlations between two-time series on a rolling window. The window for this research will be monthly and subject to historical data points from a 280-month period of the USA metropolitan price housing and the Federal Balance sheet between 1998 and 2022. The results show there is a positive correlation between the different US housing markets and the US Federal Balance Sheet in the majority of the US markets analyzed and finds a high positive correlation between the different regional house price indices and US National Home Price Index and finally the existence of spillover effect between the cities in the high tier (e.g., Los Angeles and Miami) and low-tier (e.g., Chicago and Atlanta) cities, such that rising trends in one city are mirrored by the following changes in the other city in the equivalent tier and vice versa. / Under de senaste åren har det funnits ett växande intresse för ekonomisk politik och dess inverkan inom ett land bland den fastighetsekonomiska forskarvärlden. Efter den ekonomiska krisen 2008 har en okonventionell penningpolitik skapats och den har kallats kvantitativa lättnader (QE); ett ekonomiskt politiskt instrument som tillämpas genom centralbanker för att stärka ekonomin i perioder då den konventionella penningpolitiken inte är tillfredsställande. Liksom i fallet med den ekonomiska utmaning som covid-19 orsakade, var många centralbanker tvungna att genomföra okonventionella monetära planer. Denna avhandling syftar till att upptäcka effekten av kvantitativ lättnad (QE) och dess motståndare kvantitativ nedtrappning (QT) på bostadspriserna på den amerikanska fastighetsmarknaden. Som ett sätt att hantera detta problem utför denna forskning tidsvarierande rullande korrelationer som är korrelationer mellan två tidsserier på ett rullande fönster, fönstret för denna forskning kommer att vara månadsvis och föremål för historiska datapunkter från 280-månadersperioden i USA storstadspriserna bostäder och den federala balansräkningen mellan 1998 och 2022. Resultaten visar att det finns en positiv korrelation mellan de olika amerikanska bostadsmarknaderna och den amerikanska federala balansräkningen på majoriteten av de analyserade amerikanska marknaderna och finner en hög positiv korrelation mellan de olika regionala husprisindex och US National Home Price Index och slutligen förekomsten av spridningseffekter mellan städerna i städerna på hög nivå (t.ex. Los Angeles och Miami) och lågnivå (t.ex. Chicago och Atlanta), så att stigande trender i en stad speglas av följande förändringar i den andra staden i motsvarande nivå och vice versa.

Indiana University-Purdue University Indianapolis (IUPUI) / Performing arts centers have been touted as a strategy for revitalizing downtowns by increasing activities that bring in residents with higher incomes, tourists, arts employees, educated workers, and housing. Despite their popularity, civic leaders have encountered complexity in these projects, from financial challenges, to delayed openings and operating deficits. Previous downtown studies examine public facilities, such as stadiums and cultural institutions, through essays, surveys, case studies, or by quantifying transactions exchanged between the public and the facility. This dissertation focuses solely on performing arts centers, excluding all other forms of public facilities and cultural venues, by examining self-collected data on literature-based characteristics of 218 downtowns with and without performing arts centers, all over a seven-year period of time. It was hypothesized that the presence of a performing arts center would contribute to increases in the values of all downtown revitalization characteristics, and community characteristics, as well as organizational attributes of the performing arts center itself (age, size, and revenue types) would in turn, increase the values of the overall health of the performing arts center. Through the use of multiple linear regressions, this research shows that performing arts centers can play a role in revitalizing downtowns. This research also shows that a single characteristic is not solely responsible for revitalizing downtowns; rather, the increased vitality results from a confluence of the characteristics. Endogeneity tests show that a performing arts center is less likely to enter a deserted downtown bereft of vitality. Instead, performing arts centers serve as harbingers of revitalization, confirming the presence of downtown vitality, before they proceed to activate vitality further. Finally, through the use of binary logistic regressions, community characteristics are identified in order to determine the conditions of downtowns that would be most equipped to open a performing arts center, as compared with downtowns that could not.

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