There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

In large scale international assessment studies, questionnaires are typical used to query students' home possessions. Composite scores are computed from responses to the home resource questionnaires and are used as a measure of family socioeconomic background in achievement comparison or for statistical control. This paper deals with profiling the…

The concept of classification of organisms in Biology seems to pose a problem to Secondary School students in Kenya. Though, the topic is important for understanding of the basic elements of the subject. The Examinations Council in Kenya has identified teacher centred pedagogical techniques as one of the main causes for this. Project based…

The No Child Left Behind Act requires all students be proficient in reading and mathematics by 2014, and students in subgroups to make Adequate Yearly Progress. One of these groups is students with disabilities, who continue to score well below their general education peers. This quantitative study identified scoring differences between disability…

Current reforms in the education policy of various countries are intended to produce a paradigm shift in the educational system towards an outcome orientation. After implementing educational standards as normative objectives, the development of test procedures that adequately reflect these targets and standards is a central problem. This paper…