Browsing by Subject "Structural equation modelling"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Open Access Combining Grounded Theory (GT) and Structural Equation Modelling (SEM) to analyze indoor soundscape in historical spaces(Elsevier, 2019) Acun, Volkan; Yılmazer, SemihaThis paper reports the findings of indoor soundscape research that was conducted in a historical museum setting. The study took place in the historic caravanserai of Cengelhan, which is currently a part of the Rahmi Koc Museum. A combination of qualitative and quantitative research methods were used to capture visitors’ subjective museum experience and understand the role of the sound environment. In this sense, the research is divided into two parts: Grounded Theory (GT) and Structural Equation Modelling (SEM). For the qualitative part, semi-structured interviews were held as part of GT, to create a conceptual framework that reflects visitors’ perception of the indoor soundscape of the museum. Hypotheses were derived from this conceptual framework based on the patterns between the categories of the conceptual model. In the second part, this model was tested for statistical significance and path correlations through the SEM method. The core categories of the conceptual framework are similar to the previous research, mainly the categories of Context, Interpretation, and Outcomes. The SEM analysis showed that categories of Expectation and Preference were not significantly associated with the Built or Sound Environment. Findings showed that a positive interpretation of the sound environment could create a livable environment with a unique atmosphere which would increase visitors’ interaction with the museum and positively affect their experience.Item Open Access Which preparatory curriculum for the International Baccalaureate Diploma Programme is best? The challenge for international schools with regard to mathematics and science(Springer Netherlands, 2014) Corlu, M. S.There are two mainstream curricula for international school students at the junior high level: the International Baccalaureate (IB) Middle Years Programme (MYP) and the Cambridge International General Certificate of Secondary Education (IGCSE). The former was developed in the mid-1990s and is currently being relaunched in a 21st-century approach. The latter programme of study was developed by University of Cambridge International Examinations in 1985 and has become popular in recent years among British domestic and international schools worldwide due to the clarity of its learning content. The prevailing uncertainty about which curriculum is best to prepare students for the IB Diploma Programme represents a challenge for international schools. The purpose of the current study is to develop a methodology through causal models which can explain the relationship between student performance in the IGCSE and the Diploma Programme with regard to mathematics and science. The data evaluated here consisted of external examination scores of students who attended a private international high school between the years 2005 and 2012. Two structural equation models were developed. The first model employed a maximum likelihood estimation, while the second model used a Bayesian estimation with a Markov Chain Monte Carlo method. Both models fit the data well. The evidence suggests that the IGCSE provides a good foundational preparation for the Diploma Programme in mathematics and science.