Education systems around the world increasingly rely on school value-added models to monitor school performance and hold schools to account. These models typically focus on a limited number of academic outcomes. We explore how the traditional multilevel modelling approach to school value-added models can be extended to simultaneously analyse…

Research has assessed the diverse characteristics of principals and teachers in analysing students' educational outcomes at various levels. However, these studies often focus on the cognitive domain of learning, ignoring the affective and psychomotor aspects. Bridging this gap, we used hierarchical linear regression to link two inputs of teachers…

This study examines the relationship between key elements of the School Excellence Model (SEM) and student achievement in reading, mathematics and science as measured by the Programme for International Student Assessment (PISA) 2012 and the Teaching and Learning International Survey (TALIS) 2013, using a sample of 166 schools in Singapore.…

In England accountability measures have often been used to steer school behaviour in pursuit of policy goals. In 2010, the English Baccalaureate (EBacc) was introduced to increase uptake of traditional academic subjects at GCSE. These subjects, it was argued, would enhance students' future prospects, in part because they are favoured at A-level by…

Value-added models are considered one of the best alternatives not only for accountability purposes but also to improve the school system itself. The estimates provided by these models measure the contribution of schools to students' academic progress, once the effect of other factors outside school control are eliminated. The functional form for…

School value-added studies have largely demonstrated the effects of socioeconomic and demographic characteristics of the schools and the pupils on performance in standardised tests. Traditionally, these studies have assessed the variation coming only from the schools and the pupils. However, recent studies have shown that the analysis of academic…

Although data-based decision making can lead to improved student achievement, data are often not used effectively in schools. This paper therefore focuses on conditions for effective data use. We studied the extent to which school organizational characteristics, data characteristics, user characteristics, and collaboration influenced data use for…

In most countries, publicly funded schools are held accountable to one inspectorate and are judged against agreed national standards. Many inspectorates of education have recently moved towards more proportional risk-based inspection models, targeting high-risk schools for visits, while schools with satisfactory student attainment levels are…

This article aims to explain the role principals play in the variation in academic achievement between secondary schools in Hong Kong. The article draws on survey data from 179 key staff and 2,037 students from 42 schools. The study uses 2 analytical approaches. First, it employs classification and regression tree analysis (CART). This was used to…

This study investigates the relationship between school-level accountability practices and science achievement of 15-year-olds, across four counties: Australia, Korea, Portugal, and the United States. We used PISA 2006 data, since 2006 is the only administration that has focused on science. School-level accountability practices are here defined as…

Purpose: The purpose of this paper is to examine the effects of different dimensions of instructional leadership on student learning in Hong Kong secondary schools, whose broader institutional contexts are critically characterized by high accountability policy environments. Design/methodology/approach: This study utilizes standardized test scores…

We consider group decision-making on an optimal stopping problem, for which large and stable individual differences have previously been established. In the problem, people are presented with a sequence of five random numbers between 0 and 100, one at a time, and are required to choose the maximum of the sequence, without being allowed to return…