Application of a new resampling method to SEM: a comparison of S-SMART with the bootstrap

Among the commonly used resampling methods of dealing with small-sample problems, the bootstrap enjoys the widest applications because it often outperforms its counterparts. However, the bootstrap still has limitations when its operations are contemplated. Therefore, the purpose of this study is to examine an alternative, new resampling method (called S-SMART) and compare the statistical performance of it with that of the bootstrap through an application of them to the most advanced modelling technique, SEM, as an example. The evaluation of the statistical performances of S-SMART and the bootstrap with respect to the standard errors of the parameter estimates was conducted through a Monte Carlo simulation study. This work, while potentially benefiting educational and behavioural research, conceivably would also provide methodological support for other research areas, such as bioinformatics, biology, geosciences, astronomy, and ecology, where large samples are hard to obtain.     

Influences of student and family factors on academic outcomes of mainstream secondary school deaf students

This article considers some of the student and family factors influencing the educational achievements of deaf children. It is based on a study of 16-year-old deaf students in mainstream schools in England. Findings indicate the complexity of interpreting statistical results, especially on the effect of degree of hearing loss. The discussion addresses the specific question of why this factor is often reported as not significant in academic achievement. It also considers the surprisingly low effect of family socioeconomic status, speculates on the size of the "school effect" in deaf education, and considers the coding of data.     

Studying new forms of participation and identity in mathematics classrooms with integrated communication and representational infrastructures

Wireless networks are fast becoming ubiquitous in all aspects of society and the world economy. We describe a method for studying the impacts of combining such technology with dynamic, representationally-rich mathematics software, particularly on participation, expression and projection of identity from a local to a public, shared workspace. We describe the types of mathematical activities that can utilize such unique combinations of technologies. We outline specific discourse analytic methods for measuring participation and methodologies for incorporating measures of identity and participation into impact studies.